Implementation of Fuzzy Control in MATLAB
This program demonstrates how to implement fuzzy control in MATLAB through custom development, without relying on MATLAB's built-in Fuzzy Logic Toolbox.
Explore MATLAB source code curated for "实现" with clean implementations, documentation, and examples.
This program demonstrates how to implement fuzzy control in MATLAB through custom development, without relying on MATLAB's built-in Fuzzy Logic Toolbox.
Support Vector Machine implementation using MATLAB programming language, featuring straightforward code examples and detailed documentation in Word format
A MATLAB program that divides an image into 88 blocks, with adjustable coefficients enabling custom segmentation into any number of blocks
This article discusses the principles and implementation of M-ary Quadrature Amplitude Modulation (MQAM) modulation and demodulation, performance comparisons between MQAM, OFDM, and MPSK, and MQAM performance in noisy channels along with improvement techniques such as channel coding and frequency-domain equalization. Simulation experiments are conducted on communication channels with known characteristics to verify MQAM feasibility and effectiveness. The implementation can be modeled using MATLAB's Communications Toolbox functions like qammod and qamdemod for modulation/demodulation operations, with error rate analysis performed through bertool for system validation.
Experimental results visualization of active speech signal separation using MATLAB-based three-channel blind source separation implementation
MATLAB implementation of dynamic object tracking in videos with effective results, previously tested with included demo programs featuring algorithms like optical flow and Kalman filtering.
Comprehensive Kalman filter design and implementation using MATLAB, featuring detailed algorithm documentation and practical demonstration through room temperature control. This serves as an excellent learning routine covering key functions like prediction and update steps, state-space modeling, and covariance matrix handling.
MATLAB implementation of the fundamental differential evolution algorithm, featuring vectorized operations for population handling and mutation strategies. Successfully debugged and tested in MATLAB 7.0 environment, demonstrating robust optimization performance through crossover and selection mechanisms.
Implementation and simulation of equalizers in MIMO channel modeling with performance analysis, including algorithm selection and system evaluation metrics
Implementation of data classification through BP neural network using MATLAB programming approach