BP Neural Network Data Prediction with MATLAB Implementation
Implementation of Backpropagation Neural Networks for data forecasting using MATLAB, featuring code architecture and algorithmic workflows.
Explore MATLAB source code curated for "Matlab实现" with clean implementations, documentation, and examples.
Implementation of Backpropagation Neural Networks for data forecasting using MATLAB, featuring code architecture and algorithmic workflows.
MATLAB implementation of the Artificial Immune Algorithm with ready-to-execute code
MATLAB implementation of bilinear interpolation for motion compensation and image reconstruction processing.
MATLAB implementation of CRC check code using generator polynomial [1 1 0 0 1 1], featuring validated accuracy and ready-to-use functionality with bitwise operations and polynomial division algorithms.
MATLAB implementation of 2D dyadic wavelet transform with code examples and algorithm explanation
This is a MATLAB implementation of the C4.5 algorithm featuring efficient decision tree construction with information gain ratio calculations and pruning techniques. The code includes functionalities for handling both discrete and continuous attributes, making it suitable for various classification tasks.
Detailed explanation of notch filter algorithm principles and design methodology, accompanied by MATLAB implementation. A thoroughly tested and reliable code example with comprehensive technical descriptions.
MATLAB implementation of adaptive dynamic threshold segmentation, example usage: i = imread('xxx'); thresh_tool(i). This implementation features automatic threshold adjustment based on image characteristics for improved segmentation results.
Implementation of histogram optimization-based image dehazing using MATLAB with algorithm analysis and code descriptions
Self-developed algorithm for extracting MFCC (Mel-frequency cepstral coefficients) parameters from audio signals, implemented in MATLAB with comprehensive code documentation. Welcome researchers and developers to reference and utilize this implementation.