Filter Design Using Window Method
Designing High-Pass, Low-Pass, and Band-Pass Filters with Window Functions
Digital Bandpass Filter Design using Chebyshev Method
Digital filters are computational systems that process digital signals to modify frequency components by altering their relative proportions or eliminating specific frequencies. Classic digital filters are categorized by their frequency response characteristics into low-pass, high-pass, band-pass, and band-stop types. The magnitude response illustrates amplitude attenuation across frequencies, while the phase response indicates time delays introduced by the filter. This course project introduces Chebyshev digital bandpass filter theory and implements a design using MATLAB's buttord and butter functions to analyze performance metrics through loss function and phase response visualizations.
Designing Low-Pass, Band-Pass, and High-Pass Filters Using Kaiser Window
This MATLAB function implements Kaiser window-based design for low-pass, band-pass, and high-pass filters with unified graphical display. The package includes required impulse functions and impulse response functions, operating with digital frequency values. The implementation allows parameter adjustment for optimal filtering performance, including window length and cutoff frequency configuration.
IIR Filter Design Using Bilinear Transformation Method
Computer program for designing lowpass, bandpass, and highpass IIR digital filters using the bilinear transformation design methodology, featuring implementation of critical filter design algorithms and parameter configuration functions.
Filters and Pseudocolor Transformation
A comprehensive implementation featuring: 1. Universal functions for high-pass, low-pass, band-pass, and band-stop filtering 2. Multiple filter types including Ideal, Butterworth, and Exponential implementations 3. Pseudocolor processing with included design documentation and algorithm explanations.
Low-pass, Band-pass, High-pass, and Band-stop FIR Digital Filters
Designing Low-pass, Band-pass, High-pass, and Band-stop FIR Digital Filters Using MATLAB with Low-pass Sampling
Kaiser Window Filter Design: Low-pass, Band-pass, and High-pass Filters with Integrated Visualization
Implementation of Kaiser window-based low-pass, band-pass, and high-pass filter designs with unified graphical display. The design utilizes impulse functions and impulse response functions included in the compressed package, operating with normalized digital frequency values. Key parameters include cutoff frequencies and ripple coefficients for optimal filter performance.