带通 Resources

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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.

MATLAB 270 views Tagged

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.

MATLAB 198 views Tagged

% y = filter(sig, fmin, fmax, fs) % Performs ideal filtering on a signal to achieve low-pass or band-pass filtering functionality % sig: input signal to be filtered % fmin: lower cutoff frequency (when fmin=0, implements low-pass filter; when fmin>0, implements band-pass filter) % fmax: upper cutoff frequency (must satisfy fmax > fmin) % fs: sampling frequency of the input signal % y: filtered output signal

MATLAB 195 views Tagged

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.

MATLAB 243 views Tagged

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.

MATLAB 206 views Tagged