LSB Steganography Implementation for WAV Audio Files
LSB-based information hiding in WAV audio files using binary images as hidden data, implemented with MATLAB programming including signal processing and bit manipulation techniques
Professional MATLAB source code with comprehensive documentation and examples
LSB-based information hiding in WAV audio files using binary images as hidden data, implemented with MATLAB programming including signal processing and bit manipulation techniques
A speech signal reconstruction algorithm based on compressed sensing, implementing the Backpropagation (BP) neural network algorithm for signal recovery and reconstruction.
A comprehensive graduation project featuring a complete Hidden Markov Model (HMM) speech recognition system with integrated signal enhancement preprocessing module, implementing feature extraction and pattern matching algorithms.
• Plot the noisy speech signal in both time-domain and frequency-domain representations • Perform time-frequency analysis of noise-corrupted speech signals • Design and implement appropriate digital filters for speech denoising using signal processin
The enframe function and other essential utilities for MATLAB-based speech signal processing are not included in the standard MATLAB installation and require downloading specialized toolboxes. These toolboxes, available from official sources, can be