Implementation of FIR Filters Using MATLAB
Using MATLAB to design FIR filters with various windowing methods including rectangular window, Hanning window, Hamming window, and equiripple approach, with detailed code implementation examples.
FIR Filter Design Using Window Function Method
Designing FIR filters with window function method (Rectangular, Hanning, Hamming, Blackman, and Kaiser Windows) - Implementation approaches and MATLAB code examples
MATLAB Implementation of Various Digital Filters
MATLAB implementations of various digital filters using window functions including Rectangular, Hamming, Hanning, and Kaiser windows, with code examples and algorithm explanations.
Discrete Spectrum Correction Source Code for Single Frequency Component (Energy Center of Gravity Correction Method)
Source code for discrete spectrum correction of single-frequency harmonic signals using energy center of gravity correction method. Supports rectangular window and Hanning window selection. The code has been thoroughly tested and verified.
Comparing Characteristics of Five Window Functions
MATLAB program for comparing five window functions: generates graphical plots for rectangular, Hamming, triangular, Hanning, and Blackman windows. Simulation results demonstrate that rectangular window achieves the narrowest transition band but exhibits the worst stopband minimum attenuation, while Blackman window provides the best stopband attenuation at the expense of the widest transition band.