Adaptive Wavelet Denoising with Thresholding
MATLAB source code for threshold-based adaptive wavelet denoising - beginner-friendly implementation with valuable signal processing techniques for newcomers
Explore MATLAB source code curated for "参考价值" with clean implementations, documentation, and examples.
MATLAB source code for threshold-based adaptive wavelet denoising - beginner-friendly implementation with valuable signal processing techniques for newcomers
This source code simulates encoding/decoding performance under erasure channels, incorporating practical development experience and learning insights, providing high reference value with detailed algorithm implementations and comparative analysis.
This repository provides a reference implementation of OFDM (Orthogonal Frequency Division Multiplexing) under the IEEE 802.11 protocol standard, featuring detailed code-level insights into modulation/demodulation techniques and frame structure handling.
High-quality adaptive genetic algorithm source code with significant reference value, featuring self-adjusting parameters and robust optimization capabilities
Face detection implementation based on AdaBoost algorithm using the original source code developed by Viola et al. This classic approach features cascade classifier structure with Haar-like features and integral image optimization, providing excellent reference value for beginners in computer vision.
This hysteresis control model for SVG static var generators provides practical implementation insights, serving as the author's introductory SIMULINK project with significant educational value. The model demonstrates fundamental control principles through simple yet effective logic gates and comparator implementations, making it suitable for beginners studying reactive power compensation systems.
A Practical Guide to Wavelet Analysis: Complete workflow for analyzing 1D signals with Continuous Wavelet Transform (CWT), featuring concrete implementation examples, algorithm explanations, and code descriptions. Highly valuable reference for signal processing applications!
Complete implementation for selecting image regions of interest with ready-to-use code structure, featuring fundamental image processing operations for practical reference and adaptation
The LS-SVMlab toolbox and sample programs provide excellent reference value for implementing Least Squares Support Vector Machines, including key algorithmic components and practical code demonstrations.
Complete PCA-based face recognition system implemented in MATLAB with detailed usage documentation. This program demonstrates key computer vision algorithms including eigenface computation, dimensionality reduction, and classification techniques, serving as excellent reference material for pattern recognition studies.