Principles of Adaptive Soft Threshold Denoising
A practical original implementation of adaptive soft threshold denoising algorithm, featuring intelligent noise reduction capabilities with demonstrated problem-solving applications
Explore MATLAB source code curated for "原程序" with clean implementations, documentation, and examples.
A practical original implementation of adaptive soft threshold denoising algorithm, featuring intelligent noise reduction capabilities with demonstrated problem-solving applications
A comprehensive introduction to Kalman filtering with original implementation code for the practical examples discussed in the article, featuring algorithm explanations and key function descriptions.
Original MATLAB source code for Kalman filtering implementation, thoroughly tested with excellent performance results. Available for download with detailed algorithm explanations.
Original implementation of the MUSIC algorithm with enhanced code-related descriptions for signal direction estimation
Below is the original MATLAB program for designing a Butterworth low-pass filter, demonstrating key signal processing implementation techniques.
This book provides systematic MATLAB simulation-based introduction to sliding mode variable structure control theory, methodologies, and application techniques. It incorporates the author's years of teaching and research experience along with recent advancements from domestic and international peers. The 10-chapter content covers sliding mode control development overview, continuous/discrete-time system control, fuzzy/neural sliding mode control, backstepping-based design, dynamic sliding mode control, disturbance estimation-based approaches, Terminal sliding mode, and novel variations. Each method includes MATLAB simulation code with detailed algorithm implementations using Control System Toolbox functions like `ss`, `step`, and custom switching function programming.