Matlab-Based Speech Signal Design and Processing
The specific content of this design revolves around speech signal processing utilizing MATLAB, with the Discrete Fourier Transform (DFT) as its cornerstone algorithm. DFT facilitates the discretization of signals in both the digital and frequency domains, enabling the manipulation of discrete signals by general-purpose computers. Subsequently, noise signals are introduced, and appropriate filters are employed to suppress these noises, translating digital signal processing theories into practical applications. This project bridges the gap between theoretical knowledge and real-world usage, demonstrating the efficacy of DFT in enhancing signal quality.
Authors
- Guotao Chen
Publication Details
- Published
- 2024-09-27
- DOI
- https://doi.org/10.1109/iciscae62304.2024.10761893
- Primary Topic
- Speech and Audio Processing
- Type
- article
- Field-Weighted Citation Impact
- 0.00