on this, I'm stuck on making the code using freqz() in MATLAB for a FIR filter I was able to display the graph but there is no filler in the graph, thanks! It is required to design a high boost filter using the windowing filter design. The desired discrete system frequency response is the ??(?). Create an FIR filter with M = 1001 impulse response samples. Define the filter impulse response samples analytically, by following the windowing filter design method. Evaluate the equations in MATLAB to get your impulse response. You may use freqz( ) to plot your frequency response, but you should not use fdatool( ), or fir1( ) or any other ready-made filter design function. Use the rectangular window and another window of your choosing. Also, show the spectrogram of the input (raw signal) and the processed signal with your filter. You can concatenate the input and output and do one spectrogram, or you can use two different spectrograms. It is wanted to see the impact of the filter on the input signal.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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I need help on this, I'm stuck on making the code using freqz() in MATLAB for a FIR filter I was able to display the graph but there is no filler in the graph, thanks!

It is required to design a high boost filter using the windowing filter design. The desired discrete system frequency response is the ??(?). Create an FIR filter with M = 1001 impulse response samples. Define the filter impulse response samples analytically, by following the windowing filter design method. Evaluate the equations in MATLAB to get your impulse response. You may use freqz( ) to plot your frequency response, but you should not use fdatool( ), or fir1( ) or any other ready-made filter design function. Use the rectangular window and another window of your choosing. Also, show the spectrogram of the input (raw signal) and the processed signal with your filter. You can concatenate the input and output and do one spectrogram, or you can use two different spectrograms. It is wanted to see the impact of the filter on the input signal.

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