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EE253_F11_Greensheet - San Jos State University College of...

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San José State University, College of Engineering, Electrical Engineering Department, EE253, Digital Signal Processing I, Fall 2011 Instructor: Prof. Essam A. Marouf Office Location: ENG 353 Telephone: (408) 924-3969 Email: [email protected] Office Hours: M&W 2:00-4:00 pm Class Days/Time: M&W 4:30-5:45 pm Classroom: ENG303 Prerequisites: EE210: Linear Systems, or equivalent (basic knowledge of signals, systems, and transforms) EE253 Website There will be a website for this course hosted by SJSU D2L (Desire-2-Learn), accessible through your account on http://sjsu.desire2learn.com . All handouts will be posted there (except for the Lecture Notes; available as a course reader at the university bookstore or at Maple Press -- TBD). Only officially registered students can access the website. Course Description 1- Review of time and frequency analysis of discrete-time signals and systems 2- Signal conversion from the anolog to the digital domains and back. 3- The Discrete Fourier Transform (DFT) and its properties. 4- The Fast Fourier Transform (FFT) implementation of the DFT. Application to fast computation of convolution and correlation. 5- Spectral analysis of deterministic signals. Spectral resolution and leakage. 6- Spectrogram analysis of non-stationary signals. 7- Analysis of various classical discrete-time filters (LP, HP, BP, BS, comb, notch, multi- notch, allpass filters). 8- Design and implementation of FIR filters (LP, HP, BP, BS, Hilbert-transformers, differentiators) using the window and optimal algorithms. 9- Design and implementation of IIR filters based on analog filter prototypes and the bilinear transformation. Frequency transformations. 10- Introduction to multirate signal processing: decimation, interpolation, and sample rate conversion. Efficient implementations. 11- Implications of quantization effects on digital filter design
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EE253, F11: Greensheet 2 Learning Objectives (LO) LO1: Understand practical limitations on conversion of signals from the analog world to the digital world and back LO2: Apply the FFT to reliably move signals between time and frequency domains. Analytically characterize achieved spectral resolution and leakage performance. LO3: Use frequency domain algorithms to compute convolution and correlation LO4: Analyze digital filter specified using polynomial coefficients or poles/zeros . Design simple filters based on direct pole/zero placement in the z-plane. LO5: Understand basic algorithms for digital filter design. Effectively use computer-aided design tools (Matlab) to design most filter types. LO6: Analyze sensitivity of digital filters realization choices to quantization effects LO7: Assess, analytically and/or computationally, achieved filter design performance. LO8: Relate studied algorithms to real-life signal processing applications. Required & Recommended Texts/Software Textbooks 1. Discrete-Time Signal Processing , 3rd Ed., A. V. Oppenheim & R.W. Schafer, Pearson, 2010. Referred to as O&S in the class notes. The main text for the course. Required .
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