MATLAB Implementation of Communication Principles: Huffman Coding Algorithm
A communication principles experiment demonstrating the implementation process of Huffman coding with detailed explanations and code-related descriptions
Implementation of Huffman Coding for Digital Image Compression
Huffman coding implementation for digital image compression and decompression, providing significant assistance in both the encoding step of compression and the decoding step of decompression for digital images.
Huffman Coding Binary Tree Algorithm
Huffman Coding Binary Tree Algorithm for Image and File Compression with Implementation Details
Huffman Encoding and Decoding for Text Files
Implementation of Huffman encoding and decoding for given text files using memoryless source coding, with comprehensive analysis and algorithm explanations
JPEG Image Compression Algorithm
The JPEG image compression algorithm employs 8x8 Discrete Cosine Transform (DCT), utilizes quantization tables for coefficient quantization, and implements Huffman encoding for final compression
Basic JPEG Compression Source Code
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.
Huffman Coding Implementation Program
MATLAB-based Huffman coding program for efficient lossless data compression, featuring probability analysis, tree construction, and binary encoding/decoding operations
MATLAB Implementation of EZW Encoding and Decoding Algorithm
MATLAB-based EZW encoding and decoding implementation featuring wavelet transformation for images, EZW algorithm for scanning wavelet coefficient matrices, and entropy encoding (Huffman coding) for efficient compression
MATLAB Code Implementation for Simulation Assignment
MATLAB simulation assignment covering three key communication systems topics: 1. Huffman coding implementation for data compression 2. QPSK modulation and demodulation techniques 3. Hamming channel coding for error correction
MATLAB Image Processing Implementation with Code Examples
MATLAB Image Processing: Implementing Huffman coding, wavelet transform, and edge detection using Sobel and Laplacian-Gaussian methods for grayscale images. Code demonstrations include image compression techniques and feature extraction algorithms.