MATLAB M-File Implementation of Radial Basis Function (RBF)
Custom MATLAB M-file implementation of Radial Basis Function (RBF), independent of MATLAB's toolbox functions, providing full algorithm control and customization capabilities.
Explore MATLAB source code curated for "实现" with clean implementations, documentation, and examples.
Custom MATLAB M-file implementation of Radial Basis Function (RBF), independent of MATLAB's toolbox functions, providing full algorithm control and customization capabilities.
Implementation of underwater vessel noise localization with focus on vector array near-field focusing technology and signal processing techniques
Development of a text-independent speaker recognition system using vector quantization (VQ) in MATLAB environment. This system enables real-time identification of speakers from 1-7 second voice recordings through live audio capture. The implementation includes feature extraction using MFCC (Mel-frequency cepstral coefficients), codebook generation via LBG (Linde-Buzo-Gray) algorithm, and pattern matching through distortion measurement. Usage instructions: 1) Launch MATLAB and set Current Directory to VQ folder path (e.g., E:\vq) 2) Execute training commands in Command Window to create speaker models 3) Perform real-time recognition through audio input interface.
MATLAB code implementation of the EM segmentation algorithm with superior results, featuring probabilistic modeling and iterative optimization for image partitioning.
ID3 serves as the cornerstone of decision tree classification methods, forming the basis for advanced techniques like C4.5 and CART. This implementation provides a MATLAB-based solution for ID3 classification, featuring core algorithm components such as entropy calculation, information gain computation, and recursive tree building.
A practical firefly algorithm implementation in MATLAB featuring easy adaptation through test function replacement. Includes guidelines for parameter adjustment such as firefly population size and light absorption coefficient.
This project demonstrates 8QAM modulation implementation using MATLAB simulation software. The orthogonal amplitude modulation approach is employed where the I-coordinate projection of constellation points modulates the in-phase carrier amplitude, while the Q-coordinate projection modulates the quadrature carrier amplitude. The final modulated signal is obtained by summing both amplitude-modulated components. The implementation includes constellation mapping, carrier generation, and signal combination using MATLAB's vector operations and plotting functions.
Implementation and comparison of three distinct DTMF decoding algorithms using MATLAB, featuring code demonstrations and performance analysis
MATLAB implementation of Fuzzy C-Means (FCM) clustering algorithm with detailed code explanation and practical application guidance
Fuzzy Controller: Establishing complex fuzzy rules using MATLAB. Can be implemented through custom programming or utilizing MATLAB's built-in Fuzzy Logic Toolbox for comprehensive fuzzy inference system design.