MATLAB FIR Filter Design Program with Code Implementation

This document presents an FIR filter design program implemented in MATLAB. The program features a user-friendly graphical interface where users can configure various filter parameters including cutoff frequencies, filter order, window functions, and design method selection. Through interactive controls, users can dynamically adjust parameters and immediately visualize the filter's frequency response using MATLAB's freqz function. The program incorporates multiple FIR design algorithms: the window method (using hamming, hanning, or kaiser windows), frequency sampling technique, and Parks-McClellan optimal equiripple design. Each method is implemented with appropriate MATLAB functions like fir1 for window-based designs, fir2 for frequency sampling, and firls for least-squares approach. Additionally, the program provides comprehensive filter performance evaluation tools, including magnitude response analysis, phase characteristics examination, and impulse response verification. Users can optimize filter parameters through real-time visualization of passband ripple, stopband attenuation, and transition band characteristics. The implementation also includes export functionality to generate filter coefficients in standard formats. This MATLAB-based FIR filter design program serves as a powerful and accessible tool for signal processing applications, enabling users to achieve optimal filtering results through systematic design, evaluation, and refinement processes. The object-oriented architecture ensures easy extensibility for additional filter types and design methods.