Stochastic Resonance Methods and Applications for Weak Signal Detection
Doctoral Dissertation on Stochastic Resonance Techniques for Weak Signal Detection featuring Algorithm Analysis and Implementation Approaches
MATLAB Genetic Algorithm Toolbox and Applications
1. Attachment structure: gatbx.rar contains: (1) gatbx-origin.zip (2) gatbx-toolbox.rar (3) gatbx-example.rar. 2. Debugging was performed using MATLAB version 6.5. The gatbx-toolbox is the toolbox used during debugging - while some enthusiastic researchers have already provided this toolbox, it's reposted here because version 6.5 would generate error messages during debugging, which have been corrected in this version. To use this toolbox, simply add the gatbx and gatbxTest_fns folders from the compressed package to MATLAB's search path. Additionally, gatbx-origin is the original toolbox version provided by Sheffield University without any modifications, allowing for comparison between versions.
Monte Carlo Simulation in Communication Systems: Implementation and Applications
I've noticed some colleagues searching for resources on Monte Carlo simulation applications in communications. Since this method is widely used across communication systems for performance analysis and algorithm validation, I'm sharing my collected materials which include practical MATLAB/Python implementation examples, probability modeling techniques, and error rate evaluation frameworks.
Higher-Order Spectrum Toolbox with Comprehensive Documentation
Complete higher-order spectrum toolbox with documentation covering applications in time-delay estimation, signal detection, and multiple other domains, including implementation examples for bispectral analysis and cumulant-based signal processing algorithms
Support Vector Regression (SVR) Implementation Guide
A practical application of Support Vector Regression machine! Perfect for beginners learning prediction modeling with clear code examples and algorithm explanations.
MATLAB Implementation of Artificial Fish Swarm Algorithm
MATLAB implementation of Artificial Fish Swarm Algorithm, an intelligent optimization technique increasingly applied across various domains with swarm behavior simulation capabilities for solving complex problems.
Classification Algorithm Based on Support Vector Machine (SVM) with Implementation Insights
Support Vector Machine (SVM) classification algorithms represent a relatively recent advancement in pattern recognition within artificial intelligence, offering robust solutions for complex classification tasks through kernel-based transformations and hyperplane optimization.
Calculating Navigation Angles Using Quaternions
This method computes navigation angles by integrating gyroscope and accelerometer signals through quaternion mathematics to achieve precise orientation estimation and avoid gimbal lock issues.
Implementation of Particle Swarm Optimization Algorithm
This MATLAB m-file provides an implementation of Particle Swarm Optimization (PSO) algorithm, where users can customize the objective function directly in the source code and extend functionality through additional parameter configurations.
Theory and Applications of Array Signal Processing
1. MUSIC Algorithm MATLAB Implementation - High-resolution spectral estimation using eigenvalue decomposition and noise subspace 2. ESPRIT Algorithm MATLAB Program - Frequency estimation through rotational invariance properties 3. Root-MUSIC Algorithm MATLAB Code - Polynomial root-solving approach for direction of arrival (DOA) estimation 4. Unitary-ESPRIT Algorithm for 2D Angle Estimation in Planar Arrays - Real-valued computation for multidimensional parameter estimation 5. Spatial Smoothing MUSIC Algorithm MATLAB Implementation - Coherent signal processing using forward/backward averaging 6. Joint Angle and Delay Estimation (JADE) Algorithm MATLAB Program - Spatio-temporal parameter estimation technique 7. Propagator Operator DOA Estimation Algorithm MATLAB Code - Linear computational method for direction finding 8. 2D DOA Estimation for L-shaped Arrays using Augmented Matrix Pencil Method - Enhanced matrix-based approach for two-dimensional localization