MATLAB Code for Solving Poisson's Equation Using Finite Element Method
MATLAB implementation of finite element method for Poisson's equation solution with comprehensive code description
Explore MATLAB source code curated for "matlab代码" with clean implementations, documentation, and examples.
MATLAB implementation of finite element method for Poisson's equation solution with comprehensive code description
Complete MATLAB implementation of dark channel prior image enhancement algorithm with full source code, based on the original research by the algorithm's proposer.
Color image segmentation with excellent performance. This function applies k-means clustering to input RGB images (dimensions m x n x 3). It requires two primary inputs: IMGIN (input image) and NCLUSTERS (number of clusters), and implements an interactive color segmentation workflow using k-means algorithm with user-defined color selection through interactive prompts.
Complete BCH code simulation program fully implemented in MATLAB, featuring comprehensive parameter configuration and performance analysis capabilities - highly valuable for channel coding researchers and practitioners.
A complete MATLAB median filtering program covering nearly all filter types, featuring implementation of various kernel sizes (3x3, 5x5, adaptive) and boundary handling methods, including test results on the standard LENA image dataset.
MATLAB implementation based on interior point methods for solving L2-L1 and L2-TV optimization problems, featuring Iteratively Reweighted Least Squares (IRLS) algorithm with code structure explanations
OFDM simulation program capable of calculating Bit Error Rate (BER), ideal for beginners learning digital communications. Includes practical code implementation for modulation, demodulation, and error rate analysis.
Edge Detection Implementation: 1. Create a monochrome image containing color blocks and lines, apply low-pass filtering to generate a degraded image with blurred edges, then detect edges using any two edge detection algorithms to produce binary result images. Extract boundary coordinates from the results and compare with original coordinate data to analyze detection errors. 2. Object Extraction: Capture a black/white or color photo containing target objects, apply an edge detection algorithm for automatic object extraction, and analyze the results with implementation insights on MATLAB functions like edge(), imfilter(), and bwboundaries().
Simulation of communication systems featuring Reed-Solomon codes, a type of error-correcting code widely used in telecommunications. This MATLAB-based implementation provides practical simulation capabilities with detailed code structure including encoder/decoder functions, error injection mechanisms, and performance metrics calculation for real-world communication scenarios.
MATLAB code implementation for designing and applying a bandpass filter using Butterworth filter design method, complete with signal generation, filtering demonstration, and visualization.