Technical discussion about Matlab and issues related to Digital Signal Processing.
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Hi all, I am having problems using the combination of conv and deconv function. I have a large number of random processes which I convolve with its fliped version, then I deconvolve the result obtained from convolution with the fliped version of random process, the procedure works for all but some specific cases. The code below should help you understand the problem. %%%%%%% Code starts %%%%%%%%%%%%%% t_bit=1e-6; r_bit=1/t_bit; fc1= 2*r_bit; n=4; input_stream1=[0 1 0 1]; i=1; j=1; % Value of m depends on the order of the modulation for m=1:n:(length(input_stream1)-n+1) k=1; % Extracting number of bits to be represented in a symbol bit_stream1=input_stream1(1,m:(m+n-1)); dec1=bin_to_dec(bit_stream1); % Calculating phase angle depending on the decimal equivalent theta1(j)=dec1* ((2*pi)/M); for t=(m-1)*t_bit*(1/n):1/(20*fc1):((m+(n-1))*t_bit*(1/n))-(1/ (20*fc1)) % Formulae to find of the M-PSK signal s1(k)=amp1*cos(2*pi*fc1*t + theta1(j)); y(i)=t; i=i+1; k=k+1; end % Convolution fliped_s1=fliplr(s1); r_s1=conv(s1,fliped_s1); % Deconvolution s_1=deconv(r_s1,fliped_s1); diff = s1 - s_1 end %%%%%%%%% Code ends%%%%%%%%%%%%%%%%% The diff in this case should be zero but it is not, this problem occurs for the input_stream1= 0 1 0 1 and 1 1 0 1 for all other 4 bit combinations the diff is rightly zero. I am trying to find out as to why am I not getting the diff as 0 for all cases. Please can someone help me find out the problem. Thanking you all in anticipation Brijraj |
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Hi,
The deconv function is slightly trick. I
will give you a hint and you can actually try and see if it helps.
Deconv is implemented by long division in
Matlab. For this a filter is implemented with the arguments being fed as the coefficients of
the numerator and denominator with the data being 1. Thus, the deconv is actually an
impulse output of a filter with the arguments as coefficients of numerator and denominator. Now
if the first coefficient is zero, it may not be accepted and maybe the function will alter
the polynomial to overcome the situation resulting in an undesired output. This might explain
for the [0 1 0 1] part and maybe the second input of [1 1 0 1] may have something to do with
consistency of poles and zeros of the filter. Moreover, deconv is sensitive to noise and gives
undesirable outputs in presence of noise.
An alternate solution could be by taking
fft and ifft. Since convolution will be multiplication in frequency domain, things maybe a lot
easier then.
In case you find a solution, then do share
it on the group.
Cheers,
-Snehamoy Banerjee
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