Welcome to the Selected Topics on Digital Signal Processing repository!
This repository provides a collection of resources and code examples for various selected topics in digital signal processing (DSP). Whether you are a student exploring DSP concepts or a researcher in need of practical implementations, this repository aims to be a valuable reference.
Digital Signal Processing is a vital field that deals with the analysis, manipulation, and synthesis of digital signals. This repository focuses on specific topics within DSP and provides comprehensive explanations, code implementations, and examples.
The repository currently covers the following selected topics in Digital Signal Processing:
- Wiener Filter
- Steepest Descent Filter
- LMS Filter
- Speech Synthesis
- Channel Estimation & Equalizer
- Noise Canceller
- Uniform Scalar Quantizer
- Nonuniform SQ
- Vector Quantizer
- Transform Coding
- Audio Processing Techniques
Each topic is accompanied by clear explanations, code implementations in MATLAB, and practical examples to aid in understanding and applying the concepts.
To utilize the resources and code examples provided in this repository, clone the repository or download the desired topic's folder. Each topic folder contains documentation, code files, and example datasets.
Feel free to explore the code implementations, experiment with different parameters, and apply the techniques to your own digital signal processing projects. The documentation within each topic folder provides insights into the theory and practical usage of the implemented algorithms.
This repository is licensed under the MIT License. You are free to use, modify, and distribute the code in this repository for both commercial and non-commercial purposes. See the LICENSE file for more details.
Enjoy exploring the selected topics on Digital Signal Processing and applying them to your signal analysis and processing tasks!