Explore MATLAB source code curated for "PDF" with clean implementations, documentation, and examples.
Implementation of the Sequential Minimal Optimization (SMO) algorithm for Support Vector Machines (SVM). Includes MATLAB source code files, PDF documentation on SVM theory, and detailed Word documentation explaining the source code implementation.
Implementation of Parzen window non-parametric probability density function estimation for 2D datasets, featuring 3D visualization results. Includes complete documentation, program execution instructions, MATLAB source code, and graphical outputs. Developed as a pattern recognition assignment focusing on kernel density estimation techniques.
Comparing Probability Density Functions (PDFs) and Gaussian distributions in communication theory with histogram visualization techniques and code implementation insights
dtw - DTW algorithm demonstration program mfcc.m - MFCC parameter calculation program dtw.m - Basic DTW algorithm implementation dtw2.m - Optimized DTW algorithm testdtw.m - DTW algorithm testing program vad.m - Endpoint detection program cdhmm - Continuous Gaussian Mixture HMM demonstration pdf.m - Gaussian probability density function mixture.m - Gaussian mixture output probability inithmm.m - HMM parameter initialization getparam.m - Observation sequence parameter calculation viterbi.m - Viterbi algorithm for speech recognition
This resource package contains a comprehensive PDF book on Finite Element Analysis and Applications, accompanied by corresponding MATLAB source code implementations for practical learning.
Kalman Filter Program Package - Includes Kalman Filter Theory PDF & Various Kalman Filter Implementations with Code Examples and Algorithm Explanations
This project implements an OFDM transmitter with a graphical user interface (GUI) and visualizes key performance metrics including Probability Density Function (PDF), Peak-to-Average Power Ratio (PAPR), Cumulative Distribution Function (CDF), and Complementary Cumulative Distribution Function (CCDF)
Fast ICA, a rapid independent component analysis algorithm with complete research papers available in two formats (PDF and PS), featuring efficient implementation and signal separation capabilities.
Comprehensive Kalman Filter package including theoretical PDF documentation and multiple implementation examples in various programming languages
Implementation of the SMO algorithm for Support Vector Machine (SVM) with MATLAB source code files, SVM PDF documentation, and source code Word documentation. The project includes complete working examples demonstrating optimization steps and kernel function implementations.