1. The problem statement, all variables and given/known data So I've been tasked with designing and band pass filter for my signals class. We're given the specifications that it needs to go from 200-5000Hz, and we need to use a kaiser window as the window function. 2. Relevant equations There are 2 parameters, beta and N, given by these equations here: where attenuation is the error d given by ATT = -20log_10 (d). Imulse response of an ideal band pass filter is given by: where BW is the bandwidth (4800Hz) and the Fs is the sampling frequency (44.1kHz) Fc1 is the lower cutoff frequency, 200Hz. 3. The attempt at a solution So I've been at this one all weekend and I really feel like I'm doing nothing wrong. I picked an arbitrary error 0.01, which gives me and attenuation of 40dB, beta of 3.395321052 and an N of 493. I plug all these things into MATLAB and create a window function using the kaiser() function (The N used in the kaiser function is 2*N+1 to match the lengths). I then create an ideal filter by using a for loop on the equation with k = -N:N so it's centered on the origin. Afterwards I've multiplied the 2 functions together, making sure to use the element wise multiplication. At this point I think I'm should have my filter. I then convoluted it with the audio file I'm supposed to filter and it doesn't work. I'm at a loss here and I'm hoping someone could go over my code and tell my if I'm making a dumb move. The ProjectData file is just the audio file. I'm not allowed to use the kaiserord() function or the fir1() function, although I did just for fun and it worked fine so I know there's nothing wrong with my chosen attenuation. Here is my script: Thanks in advanced for any help guys and I apologize for the wordy attempt, I just wanted to make sure I covered all my bases here.