PAPR Reduction in OFDM Systems Using Clipping Technique with MATLAB Implementation
MATLAB source code implementing clipping technique for Peak-to-Average Power Ratio (PAPR) reduction in Orthogonal Frequency Division Multiplexing (OFDM) systems
Explore MATLAB source code curated for "方法" with clean implementations, documentation, and examples.
MATLAB source code implementing clipping technique for Peak-to-Average Power Ratio (PAPR) reduction in Orthogonal Frequency Division Multiplexing (OFDM) systems
This MATLAB program implements Wiener filtering for noise reduction, delivering superior performance compared to spectral subtraction by eliminating sharp noise artifacts without introducing musical noise.
ICA represents a relatively new methodology for image watermarking, implemented using MATLAB with capabilities for both watermark embedding and extraction. The implementation typically involves independent component analysis algorithms for feature separation and watermark signal processing.
Utilizing complex cepstrum domain filtering methodology for effective speech dereverberation implementation.
Implementation of image reconstruction through filtered back projection method with configurable filtering and interpolation options for optimal results.
This source code implements blind image deblurring algorithms, which represent one of the most actively researched approaches in image deblurring methodologies, featuring implementations of kernel estimation and non-blind restoration techniques.
Medical image compression with detailed analysis of its prospects and methodologies, featuring code-based implementation approaches using MATLAB's image processing toolbox - an excellent research paper.
Facial gender recognition system for diverse ethnic groups including Eastern and Western populations. Utilizes Local Gabor Binary Pattern Histogram Sequence (LGBPHS) methodology with robust performance against image noise, illumination variations, and facial angle changes. Achieves particularly high accuracy of 96% for Eastern demographic recognition.
A local energy maximum-based image fusion approach ideal for multi-image integration with algorithm implementation insights
This collection includes five programs that demonstrate different fuzzy clustering methods and their implementation steps for handling fuzzy data, each derived from authoritative international research papers with detailed code explanations.