采样 Resources

Showing items tagged with "采样"

Record personal voice signals using audio recording functions. Perform sampling operations with specified rates using functions like `audiorecorder()` in MATLAB. Plot time-domain waveforms using `plot()` and spectrograms using `spectrogram()` functions. Implement noise addition through random signal generation and denoising using filtering techniques like Wiener filtering or wavelet denoising. Compare pre/post-filtering signals through waveform comparison and spectral analysis. Achieve audio playback using `sound()` function with variable sampling rates for fast/slow playback effects.

MATLAB 282 views Tagged

Given a signal x(t), sampling it to obtain x(n), will spectral aliasing occur? This project uses FFT to analyze its spectrum. The implementation involves: 1. Programming to plot the signal waveform; 2. Performing FFT on x(n) with N=16 and plotting the magnitude-frequency characteristic curve; 3. Performing FFT on x(n) with N=1024 and plotting the magnitude-frequency characteristic curve; 4. Analyzing the results from steps 2 and 3. The design debug report requires: working principle summary, design approach, challenges and solutions, results analysis, and program code with operational steps.

MATLAB 274 views Tagged

Complete procedures for Latin Hypercube Sampling, including basic sampling, correlated sampling, and implementation methodologies.

MATLAB 216 views Tagged