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I am doing C programming for low pass filtering time series signal and then downsampling the signal. Is there any available C source code for dummies? For instance, given filter coefficients, h[n], and signal x[numberofSamples], how shall I get the filtered signal ?? Thanks

helen wrote: > I am doing C programming for low pass filtering time series signal and then > downsampling the signal. > > Is there any available C source code for dummies? > For instance, given filter coefficients, h[n], and signal > x[numberofSamples], how shall I get the filtered signal ?? > > Thanks > Is this a finite impulse response filter (FIR), or an infinite impulse response filter (IIR)? If it's a FIR then you just take the last N samples and multiply them sample-for-sample by the filter coefficients, so for sample n you'd use: out[n] = sum from {k = max(0, n - N)} to n {x[n - k] * h[k]} This article _may_ clear things up. Although it's written more for control system design it does go into the implementation of IIR filters: http://www.wescottdesign.com/articles/zTransform/z-transforms.html. -- Tim Wescott Wescott Design Services http://www.wescottdesign.com Posting from Google? See http://cfaj.freeshell.org/google/ "Applied Control Theory for Embedded Systems" came out in April. See details at http://www.wescottdesign.com/actfes/actfes.html

helen wrote: > I am doing C programming for low pass filtering time series signal and then > downsampling the signal. > > Is there any available C source code for dummies? > For instance, given filter coefficients, h[n], and signal > x[numberofSamples], how shall I get the filtered signal ?? > You might find this useful: http://www.dspguru.com/info/faqs/firfaq.htm Good luck. -- Jim Thomas Principal Applications Engineer Bittware, Inc j...@bittware.com http://www.bittware.com (603) 226-0404 x536 There's a fine line between clever and stupid

I have the C++ code for convolution : iCoefficients can be the FIR / IIR Coefficients, iIndex is the Index number of the vector that is being filtered. vec is the typedef for std::vector<double> For an IIR filter your code would look like: filteredData[i] Convolution(i,input,BCoefficients)-Convolution(i,filteredData,ACoefficients); double Convolution(int iIndex, vec& iData, vec& iCoefficients) /**< answer = conv(signal, filtercoefficients)*/ { double answer = 0; for(int l=0; l<iCoefficients.size();l++) { if((iIndex-l-1)>=0) { answer+= iData(iIndex-l-1)*iCoefficients(l); } else { answer+=0.0; } } return answer; } As for calculating the coefficients of a low pass filter, try using the billinear transform of if you need fast results, calculate the coefficients in MATLAB and save them in your code.