Audio and Image Processing with MATLAB

Resource Overview

This comprehensive MATLAB-based toolkit provides robust implementations for various audio and image processing tasks. The audio processing module includes Linear Predictive Coding (LPC), Fast Fourier Transform (FFT), formant analysis, and spectral processing with complete source code. The image processing component offers multiple algorithms with detailed reference implementations. The package features an intuitive GUI interface for easy operation and customization.

Detailed Documentation

This MATLAB-based toolkit enables users to perform diverse audio and image processing operations through well-structured code implementations. For audio processing, the package incorporates key algorithms including: Linear Predictive Coding (LPC) for speech analysis and compression, Fast Fourier Transform (FFT) implementations for frequency domain analysis, formant tracking algorithms for vocal tract characterization, and comprehensive spectral processing routines. The image processing module contains multiple implementation approaches with complete source code and reference examples, covering fundamental to advanced techniques. The system architecture employs MATLAB's GUI development framework to create an intuitive interface that simplifies parameter configuration and visualization. All algorithms are implemented with modular design principles, allowing easy customization and integration. Whether you're a beginner exploring signal processing concepts or an experienced developer seeking ready-to-use implementations, this toolkit provides efficient solutions with educational reference code to accelerate your project development.