Fall, 2014Course Description
Catalog Description: (4 units) Discrete time signals and systems: Fourier and Z transforms, DFT, 2-dimensional versions. Digital signal processing topics: flow graphs, realizations, FFT, quantization effects, linear prediction. Digital filter design methods: windowing, frequency sampling, S-to-Z methods, frequency-transformation methods, optimization methods, 2-dimensional filter design. Prerequisites: EECS 120, or instructor permission. Course objectives: To develop skills for analyzing and synthesizing algorithms and systems that process discrete time signals, with emphasis on realization and implementation. Why should you care? Digital signal processing is one of the most important and useful tools an electrical engineer could have. It impacts all modern aspects of life and sciences; from communication, entertainment to health and economics. Instructor
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″Discrete Time Signal Processing,″ by A.V. Oppenheim and R.W. Schafer, Prentice Hall, Third Edition. Book Store Link
“Wavelets and Subband Coding” By Martin Vetterli and Jelena Kovacevic. Freely availabla here. “Fourier and Wavelet Signal Processing” By Martin Vetterli, Jelena Kovacevic and Vivek Goyal. Alpha 2.0 version freely available Here New This Year - HAM radio and Software Defined Radio Labs and Project
Several homeworks/Labs will use the SDR. Each student in the class will receive a dongle and will be able to experiment with its capabilities. The final project will also be based on SDR. Several possibilities are writing an FM receiver, digital radio receiver, Police scanner, GPS receiver, NOAA weather alert receiver or satelite imagery and more. In addition, each student will get a Baofeng UV-5r hand held radio. This will be used in Labs and the final project in the class. Every student in the class will take a HAM radio licensing exam, and be licensed by the FCC to operate the radios. Resources:
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