Digital Audio Watermarking: Embedding and Extraction with MATLAB
Implementing digital audio watermark embedding and extraction using MATLAB, involving the insertion of 2D images into audio signals for content protection and authentication.
SVM-RFE Gene Selection Algorithm
Gene Selection Algorithm | SVM-RFE Gene Selection Algorithm | SVM-RFE Gene Selection Method | SVM-RFE Feature Ranking Technique
Extraction of Curvelet Features for Color or Grayscale Images
This source code implements Curvelet feature extraction from both color and grayscale images, designed for subsequent texture image segmentation tasks. The implementation includes multi-scale directional analysis using Fast Discrete Curvelet Transform (FDCT) via wrapping.
Implementation of Image Digital Watermarking Embedding and Extraction Using DWT
MATLAB program for image digital watermarking embedding and extraction using Discrete Wavelet Transform (DWT), including watermark image and original image files, with robust frequency-domain processing capabilities.
Color Recognition and Segmentation Program
A compact MATLAB-based computer simulation program designed for color identification and segmentation tasks
Formant Identification and Extraction in Speech Signals Using LPC Linear Prediction Method
Formant extraction technique using LPC linear prediction for speech signals is crucial for speech recognition and synthesis systems, involving key algorithms like autocorrelation analysis and root solving of prediction polynomials.
Implementation of Digital Watermarking Technology Using LSB Algorithm
This project implements digital watermarking technology through the Least Significant Bit (LSB) algorithm, featuring complete embedding and extraction functionality. The implementation includes four distinct attack algorithms and utilizes PSNR (Peak Signal-to-Noise Ratio) to measure differences between extracted watermarks and those retrieved after various attacks.
SVM Source Code Implementation in MATLAB
MATLAB-implemented SVM source code for feature classification and extraction, utilizing machine learning algorithms with training-based model development
Background Image Extraction from Video Frame Sequence Using Median Method
Extract frames at regular intervals from a video sequence and apply median-based background extraction to obtain a clean background image with reduced noise and motion blur.
Extraction of Signal Instantaneous Phase and Instantaneous Frequency in MATLAB
MATLAB code implementations for extracting signal instantaneous phase and instantaneous frequency with detailed algorithm explanations and practical application examples