| EE 451: Digital Signal
Processing
Required Textbook: Proakis and Manolakis, Digital Signal Processing: Principles, Algorithms, and Applications, 3rd Edition, Prentice Hall, 1996. Recommended Software: MATLAB Student Version Lectures: M W F 11am - 11:50am in Weir 133 Labs: Two lab
sections, one each on Wednesday and Thursday afternoons from 2:00 -
5:00pm in Workman 187 Course Description: Signals play an important role in our everyday life. Digital signal processing (DSP) is a field that is concerned with the representation of such signals by sequences of numbers or symbols and the processing of these sequences. Due to the advances in integrated circuit technology, which offer economical implementations of very complex signal processing algorithms, DSP field has seen an explosive growth in the past three decades. This course will cover the basics in DSP. Applications of DSP will be demonstrated both during lectures and in lab. The course will cover various topics including: discrete-time signals and systems, z-transform, frequency analysis, discrete Fourier transform, and digital filters. Topics Covered: 1.Review of signals and systems. 2.Analysis of discrete-time systems. 3.Difference equations and implementation of discrete-time systems. 4.Z-transforms. 5.Frequency analysis of signals and systems. 6.Discrete-time Fourier transform. 7.Fast Fourier transform algorithms. 8.Structures of FIR and IIR filters. 9.Quantization of filter coefficient and their effects. 10.Design of FIR filters, i.e, linear phase using windows and frequency-sampling methods, optimum equiripple linear-phase FIR filters, differentiators, and hilbert transformers. 11.Design of IIR filters from analog filters. 12.Multirate digital signal processing. 13.Spectral estimation. Grading:
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