Explore MATLAB source code curated for "带通滤波器" with clean implementations, documentation, and examples.
Complete DSB modulation and demodulation system simulation featuring Gaussian white noise injection and bandpass filtering, demonstrating signal processing chain implementation
Implementation of a bandpass filter requiring configuration of half-order, high/low cutoff frequencies, and sampling frequency parameters, packaged as a reusable MATLAB function. The accompanying RAR file contains sample EMG signal data for testing.
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.
Implementation of Butterworth and Chebyshev bandpass filters for audio processing, featuring input/output WAV file handling with 300-3300Hz frequency retention, widely applicable in audio filtering applications with MATLAB/Python code examples
MATLAB Experiment Documentation: Design and Implementation of Multiple Bandpass Filters with Practical Code Examples
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.
Design and implementation example of a bandpass filter with detailed demonstration for 30-50MHz frequency range, including MATLAB code implementation approach and parameter selection methodology
This program demonstrates QPSK and OQPSK signal generation, I/Q component extraction, spectral analysis, envelope characteristics, bandpass filtering effects, and spectrum transformations through nonlinear amplifiers. Includes practical code implementation for digital modulation analysis.
A wavelet packet-based bandpass filter design program featuring fast wavelet transform algorithms and reconstruction methods. The implementation demonstrates signal bandpass filtering through wavelet transforms, utilizing orthogonal wavelet packets to decompose complex-frequency signals into distinct frequency bands. The program enables targeted frequency extraction using wavelet packet decomposition coefficients, followed by signal reconstruction through inverse wavelet packet transforms to achieve precise frequency component isolation.
This program has been organized into a Word document and implemented using MATLAB programming language. The digital filter designed in this implementation is a bandpass filter, with all design parameters clearly specified in the documentation. The program has been verified as correct and executable, capable of generating graphical outputs. This implementation demonstrates proper filter design methodology using MATLAB's signal processing toolbox functions.