An Adapted Multi-Carrier OFDM Function for BER Analysis
A modified multi-carrier OFDM function I adapted that directly generates Bit Error Rate (BER) performance metrics for OFDM systems.
Conjugate Gradient Method
Conjugate Gradient Method for unconstrained optimization - this implementation requires knowledge of both the objective function and its gradient to solve optimization problems efficiently. The algorithm is particularly suitable for large-scale problems due to its iterative nature and memory efficiency.
Gaussian White Noise Generation Function
This MATLAB function generates Gaussian white noise through customizable parameter settings, enabling users to create specific white noise signals while providing insights into random signal generation methodologies.
Image Super-Resolution Reconstruction Tool with Functional Implementation
A comprehensive program for image super-resolution reconstruction featuring detailed function implementations, algorithm execution, and an intuitive graphical user interface design
MATLAB Genetic Algorithm Toolbox Functions and Practical Examples Guide
Comprehensive Explanation of MATLAB Genetic Algorithm Toolbox Functions with Implementation Examples and Code Descriptions
Image Denoising Using Dyadic Wavelet Decomposition and Reconstruction
This function implements image denoising through dyadic wavelet decomposition and reconstruction, employing multi-scale analysis to separate noise from image features while preserving important details.
Adding Various Random Noise to Images Using MATLAB
This guide demonstrates how to add different types of random noise to images using MATLAB, covering function implementations, proper usage of randn function, and clarifying the distinction between 'send' and 'state' concepts in programming context. Includes practical code examples for noise generation algorithms.
Canny Edge Detection
The file canny.m in the "canny edge detection" folder contains the implementation code for Canny edge detection. compare.m and connect.m are auxiliary functions used within this code. clique.jpg is the original image, while step1.jpg, step2.jpg, step3.jpg, and threshold 80 and 100.jpg represent results from four processing stages. all.jpg displays the final output of the Canny edge detection process.
MATLAB Implementation of Adaptive Threshold Algorithm
Writing and calling an adaptive threshold function in MATLAB with code implementation details
Finding Function Minimum Using Genetic Algorithm
An example demonstrating function minimization through genetic algorithm implementation, including selection, crossover, and mutation operations