Converting RGB Format Images to YUV Format with 4:2:0 Sampling
Transform .rgb format images to .yuv format using 4:2:0 chroma subsampling, implementing color space conversion algorithms with code examples
Explore MATLAB source code curated for "采样" with clean implementations, documentation, and examples.
Transform .rgb format images to .yuv format using 4:2:0 chroma subsampling, implementing color space conversion algorithms with code examples
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.
A comprehensive STFT example with duration 1000, sampling rate 250, demonstrating Short-Time Fourier Transform (STFT) signal processing technique for time-frequency analysis
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.
A comprehensive MATLAB GUI design example demonstrating audio signal recording, sampling, filtering, reconstruction, and spectral characteristic analysis with detailed code implementation and algorithm explanations.
Sampling of voice signals, spectral analysis, and design of low-pass and high-pass filters (including IIR and FIR) for processing and analysis
Complete procedures for Latin Hypercube Sampling, including basic sampling, correlated sampling, and implementation methodologies.
Code implementations for compressed sensing sampling and reconstruction algorithms, featuring mathematical optimization and signal processing techniques
Fundamental Rao-Blackwellized Particle Filter Source with Algorithm Implementation Details