Explore MATLAB source code curated for "低通滤波器" with clean implementations, documentation, and examples.
Implementation of Butterworth low-pass filter for noise-affected image smoothing and Butterworth high-pass filter for image sharpening using frequency-domain filtering techniques with adjustable cutoff frequency and filter order parameters.
Implementation of FIR low-pass, band-pass, and high-pass filters optimized for speech frequency bands, including code-based design methodologies for voice signal processing applications.
Implementing various filters including high-pass and low-pass using MATLAB to create a voice transformation system with code-based parameter adjustments.
This MATLAB program generates low-pass filters specifically designed for digital image processing applications, featuring customizable parameters and efficient algorithm implementation.
MATLAB low-pass filter implementation that can be directly executed in MATLAB environment with real-time visualization capabilities
MATLAB implementation for decomposing linear FM signals into I and Q components with low-pass filter output, including signal generation, quadrature processing, and filter design considerations.
This program allows visualization of multiwavelet scaling functions by inputting known low-pass filter coefficients, implementing wavelet transform algorithms to generate graphical representations.
Designing FIR bandpass, lowpass, and highpass filters using the window function method enables customization of filter characteristics by adjusting program parameters. This approach provides flexibility in meeting diverse signal processing requirements through algorithmic parameter modifications.
Below is the original MATLAB program for designing a Butterworth low-pass filter, demonstrating key signal processing implementation techniques.
Design of a frequency synthesizer based on MATLAB Simulink, with core components including phase detector, low-pass filter, and voltage-controlled oscillator, analyzing circuit implementation and MATLAB modeling approaches