Automatically exported from code.google.com/p/speech-recognition-java-hidden-markov-model-vq-mfcc
-
Updated
Oct 1, 2026 - Java
Automatically exported from code.google.com/p/speech-recognition-java-hidden-markov-model-vq-mfcc
A Java program that implments Vector Quantization LBG Algorithm on greyscale RAW images, user determines the compression level.
Compress image to pixels by vector quantizations
LBG (Linde–Buzo–Gray) Vector quantization compression and decompression implementation for gray-scale images
Automatically exported from code.google.com/p/mouse-gesture-recognition-java-hidden-markov-model
A Java program that implements Vector Quantization
Operating System Algorithms and security Algorithms [AES , DES , ... ] and Multimedia Algorithms [Adaptive Huffman Algorithm, LZ78 , LZ88 , LZW, Vector Quantization Algorithm, ...]
Java-based image compression and decompression system using Vector Quantization (VQ) in both RGB and YUV color spaces, featuring a modular design, k-means codebook generation, and a simple GUI for testing and visualization.
This is the Implementation for the Vector Quantization Algorithm using java.
Vector quantization image compression in Java using the LBG algorithm and K-means clustering - codebook generation, block-based encoding/decoding, and compressed-output benchmarking (Information Theory course).
This repository implements the LZ77, LZ78, Huffman, Vector Quantization, and Arithmetic coding algorithms for data compression and decompression.
Vector Quantization image compression using the LBG algorithm with K-Means refinement in Java -- configurable block sizes, codebook generation, MSE analysis, and compression ratio evaluation.
⚡ Hardware-accelerated low-bit quantization (INT8, INT4, 1-Bit Binary) and SIMD vector distance substrate for Java.
Data compression algorithms implemented from scratch: LZ77, LZ78, Huffman (Standard & Adaptive), Vector Quantization, Image DPCM.
To associate your repository with the vector-quantization topic, visit your repo's landing page and select "manage topics."