Digital Signal Processing Using MATLAB
Fayez Gebali, University of Victoria
Uvicbook, 2019
ISBN: 40064006443;
Language: English
Digital Signal Processing (DSP) is a technology that is essential for all types of applications. We find DSP in smartphones, entertainment devices, medical devices, and deep space exploration.
Digital Signal Processing Using MATLAB provides concise and clear coverage of the essential concepts in DSP. Key topics include:
- How an analog signal is converted via sampling to a digital signal ready for processing using DSP algorithms.
- Simple analysis of the errors introduced in the analog-to-digital converter (ADC) front-end
- How to describe important types of signals especially sinusoidal signals
- How to test if the DSP system under study is linear and if it is time invariant or not and how to graphically understand the convolution and correlation algorithms.
- Importance of transforming the signal from the time domain to frequency domain using discrete-time Fourier transform (DTFT), discrete Fourier Transform (DFT, Fast Fourier transform (FFT) and the z-transform.
- Graphic representation of circular convolution that makes understanding this important operation very clear
- Study of important classes of filters (low-pass, high-pass, band-pass, and band-stop)
- Using windows to obtain practical implementation of digital filters
Lecture notes and a solution manual are available to instructors adopting this textbook. Text includes MATLAB files to solve application examples.
