CS392 - DSP for Computer Science Students
Instructor: Prof. Jonathan Stein
Office: FM208 (1/2 hour before class or by appointment)
email: Jonathan (Y) Stein
Digital Signal Processing: A Computer Science Perspective (DSP-CSP)
to be published by Wiley August 2000
(sorry no outlines presently available)
- Signals. What is a signal? Simple signals.
- Time and frequency. Instantaneous frequency.
- Systems. What is a system? Simple systems.
- Important systems. AGC and VOX. Mixer. PLL.
- Filters. FIR and IIR. Convolution.
- Graphical representations. Manipulation rules. Filter flow diagrams.
- Biological signal processing. Weber, Fechner. Speech production and perception.
- FFT. Everyday uses. DIF and DIT. Graphs.
- Function evaluation. Sine - cosine generation. CORDIC and applications.
- Correlation. System identification. Matched filters.
- Adaptive processing. LMS. Signal separation.
- Communications. Demodulation. FSK. QAM. V.34.
- Speech Compression.
- Speech recognition. DTW. HMM. Neural networks.
Other courses given by Prof. Stein
as easy as pi