Explore MATLAB source code curated for "原理" with clean implementations, documentation, and examples.
This code demonstrates the core principles of the SPIHT (Set Partitioning in Hierarchical Trees) algorithm for image compression. The implementation excludes Arithmetic Coding for simplicity and currently supports only 128x128 pixel images—generalization for arbitrary image sizes requires additional modifications.
A thorough and systematic overview of firefly algorithm principles and methodologies, featuring general-purpose code patterns that encapsulate key algorithmic steps including brightness calculation, attractiveness modeling, and movement dynamics - making this one of the most comprehensive firefly algorithm guides currently available.
Principles of Fast Independent Component Analysis Algorithm and Implementation in MATLAB with Code Examples
A comprehensive presentation on SAR radar echo simulation, covering fundamental principles, implementation approaches including signal processing algorithms, and simulation outcomes with performance metrics.
A simplified model of phased array ultrasonic flaw detection and imaging system capable of simulating imaging results for three different acoustic beam types, suitable for understanding ultrasonic flaw detection principles with configurable beam parameters and material defect visualization.
Principles of 2FSK Modulation and Demodulation in Digital Communication Systems with Detailed Source Code and Algorithm Explanations
1. Principles and basic methods of digital signal modulation and demodulation 2. Simulink-based simulation of digital signal modulation and demodulation 3. GUI interface design and M-file programming in MATLAB 4. Development of a digital modulation and demodulation demonstration system using MATLAB
Comprehensive guide to genetic algorithm theory, MATLAB implementation using key functions like ga() and custom operations, and practical applications in engineering optimization, machine learning, and data mining
Theory and Practical Applications of Linear Kalman Filtering with Algorithmic Implementation Details
1. Model of image degradation/restoration processing; 2. Mastering the principles and implementation methods of image restoration; 3. Learning to implement image restoration through MATLAB programming, including key algorithms and function usage.