Calculating FIR filter coefficients with the windowing method using the Rectangular Window
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Please advice how to calculate FIR filter coefficients with windowing method using the Rectangular Window function and convolution method (using the Output Side Algorithm from Chapter 6)
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Image Analyst
2015-3-27
Just create a 2D array of weights using whatever way you want. For example to get a Gaussian use fspecial():
kernel = fspecial('Gaussian', 15, 5)
outputImage = conv2(double(inputImage), kernel, 'same'); % Blur the image
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Image Analyst
2015-3-29
conv() is for 1-D signals
window = ones(1, 9); % Whatever length you want
output = conv(signal, window, 'same');
Change the numbers in the window kernel to do various kinds of filters. If they're uniform, it's known as a moving average or box filter.
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2015-3-29
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