Reply by Krishna May 14, 20082008-05-14
On May 12, 11:50 pm, "sarw...@YouEyeYouSee.edu" <dvsarw...@gmail.com>
wrote:
> On May 12, 12:12 am, Eric Jacobsen <eric.jacob...@ieee.org> wrote: > > > >Jerry > > > Yes, and if the constellation were strictly PSK, i.e., traced a > > circle, that would be all you'd need. With a QAM grid, though, one > > constellation point has potentially eight neighbors (not just two, > > like on a line or in a circle), and, ideally, you'd like only one bit > > to differ with each of them. With low-order QAM (e.g., 16-QAM), > > that's not possible, so one tries to manage the decision regions to > > maximize the Euclidean distance while minimizing the Hamming distance. > > > Eric Jacobsen > > Minister of Algorithms > > Abineau Communicationshttp://www.ericjacobsen.org > > In all the messages in this thread with splendid examples > of MATLAB code and snippets of C operators and so on, > there has been little attention paid to the specific application > to QAM, and I think that Eric's comment about low-order QAM > is misleading in some respects. My response discusses only > M-QAM where M = 2^{2n} as opposed to the general M-QAM > desired by the OP, with 16-QAM as an example. > > An 2^{2n}-QAM signal is the sum of two 2^n-ASK signals transmitted > on the I and Q channels, with each channel carrying n bits. The > mapping of data bits to signal constellation point on each channel > must correspond to Gray coding, but the Gray coding is not > explicit. For example, in 16-QAM with 4 data bits (b_3,b_2,b_1,b_0), > one could send b_3 and b_2 using 4-ASK on the I channel and > b_1 and b_0 using 4-ASK on the Q channel. (Some might prefer > to send the odd-numbered bits on the I channel and the even- > numbered bits on the Q channel instead). The mapping of > data bits to signal point is *effectively* Gray coding, with (for > example) 00, 01, 11, and 10 corresponding to signal levels > -3, -1, +1, and +3 respectively. The DATA bits themselves > don't need to be transformed to Gray code explicitly because if > I give you bits 11, you cannot say whether I mean 3 (standard > binary coding) or 2 (Gray coding) UNLESS I tell you what > coding I was using when I produced the 11. All the modulator > needs to know is that if the modulator input is 11, it needs to > produce output +1 and if the input is 10, it needs to produce > +3 etc. Now, those who want to implement the modulator as > a LINEAR modulator can write code which says that my input > can take on values 00, 01, 11, and 10 which is Gray-coded > (actually it isn't Gray-coded or anything: it is raw data) which > thus represents 0, 1, 2, and 3 respectively, The output I have > to produce is -3 + 2A where A is the integer value of my > Gray-coded data input. But remember that the data source > just handed the modulator two bits without saying anything > about whether the bits are Gray-coded or not. It is the LINEAR > modulator which is treating these bits as Gray-coded and > converting them to standard binary representation (that is, > applying the inverse Gray-code mapping!) so as to be able to > use its magic formula -3+2A to produce the output. A > modulator that is not quite as anal-retentive might just use > a LUT to translate data bits 00, 01, 11, and 10 into signal levels > -3, -1, +1, and +3 which uses Gray coding implicitly but not > explicitly. > > Returning to 16-QAM, the 4-bit nybble (0111) is split into 01 and > 11, and mapped to the signal constellation point (-1, +1) via > two modulators. The 16-QAM constellation thus looks like > > -3 -1 +1 +3 > > +3 0010 0110 1110 1010 > > +1 0011 0111 1111 1011 > > -1 0001 0101 1101 1001 > > -3 0000 0100 1100 1000 > > where each constellation point differs from its 4 NEAREST > neighbors (distance 2) in one bit and from its 4 NEXT > NEAREST neighbors by 2 bits. The latter have less effect > on the overall BER as compared to the 4 NEAREST neighbors > and so it matters less that the difference is two bits. > > If the signal point (-1, +1) is transmitted and (X, Y) received, > then X and Y are each quantized into 4 levels > (-3, -1, +1, +3) and if the quantized X and Y are -1 and +1 > respectively, then the demodulator output is 0111. There > is no need for the demodulator to do do anything else, or > to translate the bits from Gray code back to standard binary > representation etc. All that is built in to the demodulator > LUTs. The harder way of doing this is to remember that > the modulator used the formula -3+2A to get +1, and so > A is given by (+1 + 3)/2 = 2, but since Gray coding is > being used, the output should be the Gray-coded version > of 2, viz. 11. > > --Dilip Sarwate
Thanks Dilip. Krishna ~blogs @ http://www.dsplog.com
Reply by Jerry Avins May 12, 20082008-05-12
Eric Jacobsen wrote:

   ...

> Yes, and if the constellation were strictly PSK, i.e., traced a > circle, that would be all you'd need. With a QAM grid, though, one > constellation point has potentially eight neighbors (not just two, > like on a line or in a circle), and, ideally, you'd like only one bit > to differ with each of them. With low-order QAM (e.g., 16-QAM), > that's not possible, so one tries to manage the decision regions to > maximize the Euclidean distance while minimizing the Hamming distance.
Oh. Jerry -- Engineering is the art of making what you want from things you can get. &#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;
Reply by Eric Jacobsen May 12, 20082008-05-12
On Mon, 12 May 2008 11:50:48 -0700 (PDT), "sarwate@YouEyeYouSee.edu"
<dvsarwate@gmail.com> wrote:

>On May 12, 12:12 am, Eric Jacobsen <eric.jacob...@ieee.org> wrote: > >> >Jerry >> >> Yes, and if the constellation were strictly PSK, i.e., traced a >> circle, that would be all you'd need. With a QAM grid, though, one >> constellation point has potentially eight neighbors (not just two, >> like on a line or in a circle), and, ideally, you'd like only one bit >> to differ with each of them. With low-order QAM (e.g., 16-QAM), >> that's not possible, so one tries to manage the decision regions to >> maximize the Euclidean distance while minimizing the Hamming distance. >> >> Eric Jacobsen >> Minister of Algorithms >> Abineau Communicationshttp://www.ericjacobsen.org > >In all the messages in this thread with splendid examples >of MATLAB code and snippets of C operators and so on, >there has been little attention paid to the specific application >to QAM, and I think that Eric's comment about low-order QAM >is misleading in some respects. My response discusses only >M-QAM where M = 2^{2n} as opposed to the general M-QAM >desired by the OP, with 16-QAM as an example. > >An 2^{2n}-QAM signal is the sum of two 2^n-ASK signals transmitted >on the I and Q channels, with each channel carrying n bits. The >mapping of data bits to signal constellation point on each channel >must correspond to Gray coding, but the Gray coding is not >explicit. For example, in 16-QAM with 4 data bits (b_3,b_2,b_1,b_0), >one could send b_3 and b_2 using 4-ASK on the I channel and >b_1 and b_0 using 4-ASK on the Q channel. (Some might prefer >to send the odd-numbered bits on the I channel and the even- >numbered bits on the Q channel instead). The mapping of >data bits to signal point is *effectively* Gray coding, with (for >example) 00, 01, 11, and 10 corresponding to signal levels >-3, -1, +1, and +3 respectively. The DATA bits themselves >don't need to be transformed to Gray code explicitly because if >I give you bits 11, you cannot say whether I mean 3 (standard >binary coding) or 2 (Gray coding) UNLESS I tell you what >coding I was using when I produced the 11. All the modulator >needs to know is that if the modulator input is 11, it needs to >produce output +1 and if the input is 10, it needs to produce >+3 etc. Now, those who want to implement the modulator as >a LINEAR modulator can write code which says that my input >can take on values 00, 01, 11, and 10 which is Gray-coded >(actually it isn't Gray-coded or anything: it is raw data) which >thus represents 0, 1, 2, and 3 respectively, The output I have >to produce is -3 + 2A where A is the integer value of my >Gray-coded data input. But remember that the data source >just handed the modulator two bits without saying anything >about whether the bits are Gray-coded or not. It is the LINEAR >modulator which is treating these bits as Gray-coded and >converting them to standard binary representation (that is, >applying the inverse Gray-code mapping!) so as to be able to >use its magic formula -3+2A to produce the output. A >modulator that is not quite as anal-retentive might just use >a LUT to translate data bits 00, 01, 11, and 10 into signal levels >-3, -1, +1, and +3 which uses Gray coding implicitly but not >explicitly. > >Returning to 16-QAM, the 4-bit nybble (0111) is split into 01 and >11, and mapped to the signal constellation point (-1, +1) via >two modulators. The 16-QAM constellation thus looks like > > -3 -1 +1 +3 > >+3 0010 0110 1110 1010 > >+1 0011 0111 1111 1011 > >-1 0001 0101 1101 1001 > >-3 0000 0100 1100 1000 > >where each constellation point differs from its 4 NEAREST >neighbors (distance 2) in one bit and from its 4 NEXT >NEAREST neighbors by 2 bits. The latter have less effect >on the overall BER as compared to the 4 NEAREST neighbors >and so it matters less that the difference is two bits. > >If the signal point (-1, +1) is transmitted and (X, Y) received, >then X and Y are each quantized into 4 levels >(-3, -1, +1, +3) and if the quantized X and Y are -1 and +1 >respectively, then the demodulator output is 0111. There >is no need for the demodulator to do do anything else, or >to translate the bits from Gray code back to standard binary >representation etc. All that is built in to the demodulator >LUTs. The harder way of doing this is to remember that >the modulator used the formula -3+2A to get +1, and so >A is given by (+1 + 3)/2 = 2, but since Gray coding is >being used, the output should be the Gray-coded version >of 2, viz. 11. > >--Dilip Sarwate
Thanks, Dilip. That says pretty much what I was trying to say (not sure where I became misleading, but it's all good). I think you've hit the points of potential ambiguity pretty well. Eric Jacobsen Minister of Algorithms Abineau Communications http://www.ericjacobsen.org
Reply by sarw...@YouEyeYouSee.edu May 12, 20082008-05-12
On May 12, 12:12 am, Eric Jacobsen <eric.jacob...@ieee.org> wrote:

> >Jerry > > Yes, and if the constellation were strictly PSK, i.e., traced a > circle, that would be all you'd need. With a QAM grid, though, one > constellation point has potentially eight neighbors (not just two, > like on a line or in a circle), and, ideally, you'd like only one bit > to differ with each of them. With low-order QAM (e.g., 16-QAM), > that's not possible, so one tries to manage the decision regions to > maximize the Euclidean distance while minimizing the Hamming distance. > > Eric Jacobsen > Minister of Algorithms > Abineau Communicationshttp://www.ericjacobsen.org
In all the messages in this thread with splendid examples of MATLAB code and snippets of C operators and so on, there has been little attention paid to the specific application to QAM, and I think that Eric's comment about low-order QAM is misleading in some respects. My response discusses only M-QAM where M = 2^{2n} as opposed to the general M-QAM desired by the OP, with 16-QAM as an example. An 2^{2n}-QAM signal is the sum of two 2^n-ASK signals transmitted on the I and Q channels, with each channel carrying n bits. The mapping of data bits to signal constellation point on each channel must correspond to Gray coding, but the Gray coding is not explicit. For example, in 16-QAM with 4 data bits (b_3,b_2,b_1,b_0), one could send b_3 and b_2 using 4-ASK on the I channel and b_1 and b_0 using 4-ASK on the Q channel. (Some might prefer to send the odd-numbered bits on the I channel and the even- numbered bits on the Q channel instead). The mapping of data bits to signal point is *effectively* Gray coding, with (for example) 00, 01, 11, and 10 corresponding to signal levels -3, -1, +1, and +3 respectively. The DATA bits themselves don't need to be transformed to Gray code explicitly because if I give you bits 11, you cannot say whether I mean 3 (standard binary coding) or 2 (Gray coding) UNLESS I tell you what coding I was using when I produced the 11. All the modulator needs to know is that if the modulator input is 11, it needs to produce output +1 and if the input is 10, it needs to produce +3 etc. Now, those who want to implement the modulator as a LINEAR modulator can write code which says that my input can take on values 00, 01, 11, and 10 which is Gray-coded (actually it isn't Gray-coded or anything: it is raw data) which thus represents 0, 1, 2, and 3 respectively, The output I have to produce is -3 + 2A where A is the integer value of my Gray-coded data input. But remember that the data source just handed the modulator two bits without saying anything about whether the bits are Gray-coded or not. It is the LINEAR modulator which is treating these bits as Gray-coded and converting them to standard binary representation (that is, applying the inverse Gray-code mapping!) so as to be able to use its magic formula -3+2A to produce the output. A modulator that is not quite as anal-retentive might just use a LUT to translate data bits 00, 01, 11, and 10 into signal levels -3, -1, +1, and +3 which uses Gray coding implicitly but not explicitly. Returning to 16-QAM, the 4-bit nybble (0111) is split into 01 and 11, and mapped to the signal constellation point (-1, +1) via two modulators. The 16-QAM constellation thus looks like -3 -1 +1 +3 +3 0010 0110 1110 1010 +1 0011 0111 1111 1011 -1 0001 0101 1101 1001 -3 0000 0100 1100 1000 where each constellation point differs from its 4 NEAREST neighbors (distance 2) in one bit and from its 4 NEXT NEAREST neighbors by 2 bits. The latter have less effect on the overall BER as compared to the 4 NEAREST neighbors and so it matters less that the difference is two bits. If the signal point (-1, +1) is transmitted and (X, Y) received, then X and Y are each quantized into 4 levels (-3, -1, +1, +3) and if the quantized X and Y are -1 and +1 respectively, then the demodulator output is 0111. There is no need for the demodulator to do do anything else, or to translate the bits from Gray code back to standard binary representation etc. All that is built in to the demodulator LUTs. The harder way of doing this is to remember that the modulator used the formula -3+2A to get +1, and so A is given by (+1 + 3)/2 = 2, but since Gray coding is being used, the output should be the Gray-coded version of 2, viz. 11. --Dilip Sarwate
Reply by Eric Jacobsen May 12, 20082008-05-12
On Sun, 11 May 2008 22:49:33 -0400, Jerry Avins <jya@ieee.org> wrote:

>Eric Jacobsen wrote: >> On Sun, 11 May 2008 17:09:01 -0400, Jerry Avins <jya@ieee.org> wrote: >> >>> krishna@dsplog.com wrote: >>>> On May 11, 6:53 pm, Jerry Avins <j...@ieee.org> wrote: >>>>> To convert binary to Gray: x XOR (x >> 1) >>>>> Seehttp://www.dspguru.com/comp.dsp/tricks/alg/grayconv.htm >>>>> >>>>> Jerry >>>>> -- >>>>> Engineering is the art of making what you want from things you can get. >>>>> &#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295; >>>> Thanks for the link. If I may write the equivalent Matlab/Octave code >>>> >>>> % ------- start >>>> clear >>>> % binary to Gray code >>>> ipBin = [0:15] >>>> opGray = bitxor(ipBin,floor(ipBin/2)) >>>> >>>> % Gray code to binary >>>> opBin = bitxor(opGray,floor(opGray/2^8)) >>>> opBin = bitxor(opBin,floor(opBin/2^4)) >>>> opBin = bitxor(opBin,floor(opBin/2^2)) >>>> opBin = bitxor(opBin,floor(opBin/2^1)) >>>> % ---- end >>>> >>>> I was thinking of a simple LUT based approach for doing the Gray to >>>> Binary. However, this approach looks neat. But, am unable to figure >>>> out how this trick works. Can you kindly provide further pointers and/ >>>> or hints. >>> The way to do it with gates (4 bits; extend to n) is >>> >>> G3 o-------------------o B3 >>> | >>> o---|&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;| >>> | XOR |-----+---o B2 >>> G2 o---|_____| | >>> ________________| >>> | >>> o---|&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;| >>> | XOR |-----+---o B1 >>> G1 o---|_____| | >>> ________________| >>> | >>> o---|&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;| >>> | XOR |---------o B0 >>> G0 o---|_____| >>> >>> Except for ripple-through, this is O(1). The straight-forward conversion >>> to software is O(n). Observe that each Gray bit is XORed with *all* the >>> lower bits, not just the one immediately below. My method XORs bits in >>> parallel to do the same thing in O(log(n)) Nuff said? >>> >>> Jerry > >Krishna, > >I didn't give you the best answer. I replied to the question og Gray >code in general instead of confining myself to QAP on particular. A LUT >is appropriate when the largest number is small. > >> There's an added dimension, though, in that for gray coding to get the >> best performance in QAM the symbols need to be assigned such that no >> adjacent decision regions differ by more than a bit. That can be >> done strictly with symbol assignment and doesn't really need a >> conversion from the data to the linear code mapping that you've shown. >> i.e., you can take the data directly and just assing the appropriate >> symbol from the constellation map. >> >> In other words, for QAM what matters is where the codes land with >> respect to the decision regions in the constellation, not on a number >> line. > >Eric, > >That's the same thing. Just as unsigned and two's complement numbers >form a number circle, so do Gray codes. In fact, Gray codes are used on >encoder wheels where the circularity is evident. There's an illustration >at http://www.scienceprog.com/using-gray-code-for-rotary-encoders/ > >Jerry
Yes, and if the constellation were strictly PSK, i.e., traced a circle, that would be all you'd need. With a QAM grid, though, one constellation point has potentially eight neighbors (not just two, like on a line or in a circle), and, ideally, you'd like only one bit to differ with each of them. With low-order QAM (e.g., 16-QAM), that's not possible, so one tries to manage the decision regions to maximize the Euclidean distance while minimizing the Hamming distance. Eric Jacobsen Minister of Algorithms Abineau Communications http://www.ericjacobsen.org
Reply by Jerry Avins May 11, 20082008-05-11
Eric Jacobsen wrote:
> On Sun, 11 May 2008 17:09:01 -0400, Jerry Avins <jya@ieee.org> wrote: > >> krishna@dsplog.com wrote: >>> On May 11, 6:53 pm, Jerry Avins <j...@ieee.org> wrote: >>>> To convert binary to Gray: x XOR (x >> 1) >>>> Seehttp://www.dspguru.com/comp.dsp/tricks/alg/grayconv.htm >>>> >>>> Jerry >>>> -- >>>> Engineering is the art of making what you want from things you can get. >>>> &#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295; >>> Thanks for the link. If I may write the equivalent Matlab/Octave code >>> >>> % ------- start >>> clear >>> % binary to Gray code >>> ipBin = [0:15] >>> opGray = bitxor(ipBin,floor(ipBin/2)) >>> >>> % Gray code to binary >>> opBin = bitxor(opGray,floor(opGray/2^8)) >>> opBin = bitxor(opBin,floor(opBin/2^4)) >>> opBin = bitxor(opBin,floor(opBin/2^2)) >>> opBin = bitxor(opBin,floor(opBin/2^1)) >>> % ---- end >>> >>> I was thinking of a simple LUT based approach for doing the Gray to >>> Binary. However, this approach looks neat. But, am unable to figure >>> out how this trick works. Can you kindly provide further pointers and/ >>> or hints. >> The way to do it with gates (4 bits; extend to n) is >> >> G3 o-------------------o B3 >> | >> o---|&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;| >> | XOR |-----+---o B2 >> G2 o---|_____| | >> ________________| >> | >> o---|&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;| >> | XOR |-----+---o B1 >> G1 o---|_____| | >> ________________| >> | >> o---|&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;| >> | XOR |---------o B0 >> G0 o---|_____| >> >> Except for ripple-through, this is O(1). The straight-forward conversion >> to software is O(n). Observe that each Gray bit is XORed with *all* the >> lower bits, not just the one immediately below. My method XORs bits in >> parallel to do the same thing in O(log(n)) Nuff said? >> >> Jerry
Krishna, I didn't give you the best answer. I replied to the question og Gray code in general instead of confining myself to QAP on particular. A LUT is appropriate when the largest number is small.
> There's an added dimension, though, in that for gray coding to get the > best performance in QAM the symbols need to be assigned such that no > adjacent decision regions differ by more than a bit. That can be > done strictly with symbol assignment and doesn't really need a > conversion from the data to the linear code mapping that you've shown. > i.e., you can take the data directly and just assing the appropriate > symbol from the constellation map. > > In other words, for QAM what matters is where the codes land with > respect to the decision regions in the constellation, not on a number > line.
Eric, That's the same thing. Just as unsigned and two's complement numbers form a number circle, so do Gray codes. In fact, Gray codes are used on encoder wheels where the circularity is evident. There's an illustration at http://www.scienceprog.com/using-gray-code-for-rotary-encoders/ Jerry -- Engineering is the art of making what you want from things you can get. &#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;
Reply by May 11, 20082008-05-11
On May 12, 3:17 am, Eric Jacobsen <eric.jacob...@ieee.org> wrote:

> There's an added dimension, though, in that for gray coding to get the > best performance in QAM the symbols need to be assigned such that no > adjacent decision regions differ by more than a bit. That can be > done strictly with symbol assignment and doesn't really need a > conversion from the data to the linear code mapping that you've shown. > i.e., you can take the data directly and just assing the appropriate > symbol from the constellation map. > > In other words, for QAM what matters is where the codes land with > respect to the decision regions in the constellation, not on a number > line.
Thanks Eric & Chintan. I agree with your comments. However, I am looking for rules (read equations) which I can apply for a general M-QAM square constellation. The closest I ve got is to look at the bin2gray() function in Matlab and try to figure out the code.... Thanks again, Krishna ~blogs @ http://www.dsplog.com
Reply by Eric Jacobsen May 11, 20082008-05-11
On Sun, 11 May 2008 17:09:01 -0400, Jerry Avins <jya@ieee.org> wrote:

>krishna@dsplog.com wrote: >> On May 11, 6:53 pm, Jerry Avins <j...@ieee.org> wrote: >>> To convert binary to Gray: x XOR (x >> 1) >>> Seehttp://www.dspguru.com/comp.dsp/tricks/alg/grayconv.htm >>> >>> Jerry >>> -- >>> Engineering is the art of making what you want from things you can get. >>> &#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295; >> >> Thanks for the link. If I may write the equivalent Matlab/Octave code >> >> % ------- start >> clear >> % binary to Gray code >> ipBin = [0:15] >> opGray = bitxor(ipBin,floor(ipBin/2)) >> >> % Gray code to binary >> opBin = bitxor(opGray,floor(opGray/2^8)) >> opBin = bitxor(opBin,floor(opBin/2^4)) >> opBin = bitxor(opBin,floor(opBin/2^2)) >> opBin = bitxor(opBin,floor(opBin/2^1)) >> % ---- end >> >> I was thinking of a simple LUT based approach for doing the Gray to >> Binary. However, this approach looks neat. But, am unable to figure >> out how this trick works. Can you kindly provide further pointers and/ >> or hints. > >The way to do it with gates (4 bits; extend to n) is > >G3 o-------------------o B3 > | > o---|&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;| > | XOR |-----+---o B2 >G2 o---|_____| | > ________________| > | > o---|&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;| > | XOR |-----+---o B1 >G1 o---|_____| | > ________________| > | > o---|&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;| > | XOR |---------o B0 > G0 o---|_____| > >Except for ripple-through, this is O(1). The straight-forward conversion >to software is O(n). Observe that each Gray bit is XORed with *all* the >lower bits, not just the one immediately below. My method XORs bits in >parallel to do the same thing in O(log(n)) Nuff said? > >Jerry
There's an added dimension, though, in that for gray coding to get the best performance in QAM the symbols need to be assigned such that no adjacent decision regions differ by more than a bit. That can be done strictly with symbol assignment and doesn't really need a conversion from the data to the linear code mapping that you've shown. i.e., you can take the data directly and just assing the appropriate symbol from the constellation map. In other words, for QAM what matters is where the codes land with respect to the decision regions in the constellation, not on a number line. Eric Jacobsen Minister of Algorithms Abineau Communications http://www.ericjacobsen.org
Reply by Jerry Avins May 11, 20082008-05-11
krishna@dsplog.com wrote:
> On May 11, 6:53 pm, Jerry Avins <j...@ieee.org> wrote: >> To convert binary to Gray: x XOR (x >> 1) >> Seehttp://www.dspguru.com/comp.dsp/tricks/alg/grayconv.htm >> >> Jerry >> -- >> Engineering is the art of making what you want from things you can get. >> &#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295; > > Thanks for the link. If I may write the equivalent Matlab/Octave code > > % ------- start > clear > % binary to Gray code > ipBin = [0:15] > opGray = bitxor(ipBin,floor(ipBin/2)) > > % Gray code to binary > opBin = bitxor(opGray,floor(opGray/2^8)) > opBin = bitxor(opBin,floor(opBin/2^4)) > opBin = bitxor(opBin,floor(opBin/2^2)) > opBin = bitxor(opBin,floor(opBin/2^1)) > % ---- end > > I was thinking of a simple LUT based approach for doing the Gray to > Binary. However, this approach looks neat. But, am unable to figure > out how this trick works. Can you kindly provide further pointers and/ > or hints.
The way to do it with gates (4 bits; extend to n) is G3 o-------------------o B3 | o---|&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;| | XOR |-----+---o B2 G2 o---|_____| | ________________| | o---|&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;| | XOR |-----+---o B1 G1 o---|_____| | ________________| | o---|&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;| | XOR |---------o B0 G0 o---|_____| Except for ripple-through, this is O(1). The straight-forward conversion to software is O(n). Observe that each Gray bit is XORed with *all* the lower bits, not just the one immediately below. My method XORs bits in parallel to do the same thing in O(log(n)) Nuff said? Jerry -- Engineering is the art of making what you want from things you can get. &#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;&#4294967295;
Reply by cpshah99 May 11, 20082008-05-11
>On May 11, 6:53 pm, Jerry Avins <j...@ieee.org> wrote: >> >> To convert binary to Gray: x XOR (x >> 1) >> Seehttp://www.dspguru.com/comp.dsp/tricks/alg/grayconv.htm >> >> Jerry >> -- >> Engineering is the art of making what you want from things you can
get.
>>
=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=
>=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF= >=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF > >Thanks for the link. If I may write the equivalent Matlab/Octave code > >% ------- start >clear >% binary to Gray code >ipBin =3D [0:15] >opGray =3D bitxor(ipBin,floor(ipBin/2)) > >% Gray code to binary >opBin =3D bitxor(opGray,floor(opGray/2^8)) >opBin =3D bitxor(opBin,floor(opBin/2^4)) >opBin =3D bitxor(opBin,floor(opBin/2^2)) >opBin =3D bitxor(opBin,floor(opBin/2^1)) >% ---- end > >I was thinking of a simple LUT based approach for doing the Gray to >Binary. However, this approach looks neat. But, am unable to figure >out how this trick works. Can you kindly provide further pointers and/ >or hints. > >Thanks again, >Krishna >~blogs @ http://www.dsplog.com >
%%%%%% I am assuming that u want to apply 4-QAM using gray mapping. Now, start from 1st quadrant i.e. ++ lets say u put 00 over there. So in the left quadrant u can put either 10 or 01. lets say 01. so in the thrid quadrant u will put 11 and in the fourth quadrant u will put 10. This mapping gives u grap mapping. Now to generate this in matlab: clc, clear all; x=randint(1,100); % 100 bits x_r=reshape(x,2,50).'; % 50 rows, 2 columns x_d=bi2de(x_r,'left-msb'); % gives u symbols 0-3, 0=00, 1=01, 2=10, 3=11 for i=1:length(x_d) if(x_d(i)==0) y(i)=1+j*1; elseif (x_d(i)==1) y(i)=-1+j*1; elseif (x_d(i)==2) y(i)=1-j*1; else y(i)=-1-j*1; end end The above code is tested and works fine. Hope this helps. Chintan