Calculating FIR filter coefficients with the windowing method using the Rectangular Window

6 views (last 30 days)
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)

Answers (1)

Image Analyst
Image Analyst on 27 Mar 2015
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
  2 Comments
Image Analyst
Image Analyst on 29 Mar 2015
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.

Sign in to comment.

Categories

Find more on Statistics and Linear Algebra in Help Center and File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!