Latest Time-Frequency Analysis Techniques
Advanced time-frequency analysis techniques featuring multiple LMD algorithms and implementation programs for fault diagnosis applications.
Lattice Reduction-Based THP Precoding
Lattice reduction techniques for Tomlinson-Harashima precoding under zero-forcing criterion, with enhanced algorithm implementation insights
Novel Support Vector Machine (SVM) Source Code
IEEE-published novel SVM source code with technical utility and implementation insights for machine learning applications
Interleave Division Multiple Access (IDMA) MATLAB Implementation
MATLAB program for Interleave Division Multiple Access (IDMA), a promising technology that enables user signal separation through simple iterative operations. The implementation includes key algorithmic components such as iterative multiuser detection, interleaver design, and interference cancellation mechanisms.
Image Stitching Techniques Using Wavelet Transform
MATLAB implementation of wavelet transform-based image stitching techniques with horizontal stitching capability, featuring multiresolution decomposition and reconstruction algorithms
Image Segmentation Source Code (Matlab)
Matlab source code for image segmentation containing implementations of various common techniques including threshold-based segmentation, edge detection, and region growing algorithms
Image Mosaic Technology with Algorithm Implementation Approaches
Image mosaic technology spatially aligns and matches a sequence of images with overlapping areas, then performs resampling and synthesis to create a complete, high-resolution panoramic image containing information from all input images. This technology has extensive applications in photogrammetry, computer vision, remote sensing image processing, medical image analysis, and computer graphics. The image mosaic process typically consists of three key steps: image acquisition, image registration (alignment), and image blending/synthesis, where image registration serves as the fundamental component. This paper investigates two distinct image registration algorithms: feature-based registration and transform-domain-based registration, with implementation considerations for feature detection, matching, and transformation estimation.
OFDM Simulation Code Implementation
Application Context This code provides an extremely detailed simulation of an OFDM system. To facilitate better understanding for learners, the simulation includes both real and imaginary components of defined functions. It covers pre-demodulation processing, post-demodulation analysis, normalized power calculations, and other critical aspects. This comprehensive simulation approach offers significant educational value for understanding OFDM system implementation. Key Technology OFDM (Orthogonal Frequency Division Multiplexing) is essentially a multicarrier modulation technique derived from MCM (Multi-Carrier Modulation). The modulation and demodulation processes are implemented using IFFT and FFT operations respectively, making it one of the most efficient and widely adopted multicarrier transmission schemes with minimal implementation complexity.
ImageCompressionAndEncryption-master: Hybrid Compression and Encryption Technique Using Circulant Matrix Control
In the multimedia-driven information era, image security has become paramount as image value depends on contained information. This project implements compressive sensing-based encryption with key-controlled circulant matrices, dividing images into blocks for simultaneous compression and encryption through randomized pixel scrambling, addressing traditional key distribution and efficiency challenges.