Explore MATLAB source code curated for "量化" with clean implementations, documentation, and examples.
The Multifractal Detrended Cross-Correlation Analysis (MF-DCCA) method quantifies cross-correlations between time series, with implementations including MF-based detrended fluctuation analysis variants such as MF-X-DFA.
Implementation of 8x8 matrix DCT transformation, quantization, inverse quantization, and inverse DCT transformation for image compression applications
Exploration of double threshold-based speech endpoint detection, including signal quantization techniques, LPCC algorithm implementation, and comprehensive calculation of cepstral parameters.
Complete MATLAB simulation module for Differential Pulse Code Modulation (DPCM) featuring signal sampling, quantization, prediction, encoding, and decoding processes. The implementation includes adaptive quantization algorithms and predictive coding techniques. Available for free download - personally developed with educational applications in mind.
Basic JPEG compression source code implementation including DCT transformation, quantization, zigzag scanning and Huffman encoding. Ideal for digital image processing developers seeking to understand core compression algorithms.
Image compression encoding implementation using Discrete Cosine Transform (DCT), quantization techniques, zigzag scanning, and run-length encoding for efficient image storage and transmission
Implementation of PCM technology through three processes: sampling, quantization, and encoding. Sampling: Low-pass continuous signal sampling demonstrated using x=sin(200*t), m=x./(200*t), m=m.*m to illustrate sampling theorem with time/frequency domain plots; Band-pass continuous signal sampling using x=sin(20*t), m=x./t to demonstrate band-pass sampling theorem with corresponding plots. Quantization: Uniform quantization implemented for sinusoidal signals with 64 quantization levels; Non-uniform quantization applied to sinusoidal signals input to A-law PCM encoder, showing sampling sequence and output code sequence. Encoding: Implementation of A-law 13-segment approximation and international standard PCM logarithmic A-law quantization coding.
Implementation of 8x8 block-based Discrete Cosine Transform (DCT) image processing, including JPEG quantization matrix-based quantization/dequantization and block-based image reconstruction; using a 512×512 8-bit/pixel test image and calculating PSNR for quality assessment
Quantized audio digital watermarking using wavelet transform, featuring complete code for watermark embedding, extraction, and attack simulations with algorithm implementation details.
Performing block partitioning, Discrete Cosine Transform (DCT), and quantization on test images, representing the quantized coefficients in matrix form, with implementation insights using key functions.