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 Home | Back EE 831 Advanced Digital Signal Processing
 Campus PNEC Programs PG Session Fall Semester 2016 Course Title Advanced Digital Signal Processing Course Code EE 831 Credit Hours 3-0 Pre-Requisutes Control Systems (UG level), Signals & Systems (UG level), Familiarity with numerical processing package such as MATLAB Course Objectives This course will introduce the basic concepts and techniques for processing signals on a computer. By the end of the course, student will be familiar with the most important methods of DSP, including digital filter design and transform-domain processing. The course emphasizes intuitive understanding and practical implementations of the theoretical concepts. Detail Content Course overview and discrete-time signals and systems Course at a glance Discrete-time sequences Discrete-time systems Linear time-invariant systems (LTI) Impulse response Convolution in time Properties of LTI systems Difference equation and introduction to digital filters Linear constant-coefficient equations Stability Introduction to FIR-filters Introduction to IIR-filters Fourier transform and frequency response Fourier transform of sequence Properties of Fourier transform Frequency response of LTI systems Inverse Fourier transform Fourier transform theorems Sampling and reconstruction Periodic sampling Frequency-domain representation of sampling Reconstruction of band-limited signals Changing the sampling rate of discrete signals The z-transform and its inverse Bilateral z-transform Properties of z-transform Inversion System representation in z-domain Solutions to difference equations Basic structures of IIR and FIR filters Filter structures Signal flow graph representation FIR and IIR systems Transformed forms The Discrete Fourier Transform (DFT) Discrete Fourier series Sampling and reconstruction in the z-domain DFT properties Linear and circular convolution Filter design techniques – IIR filters Analog prototypes Imulse invariance Bilinear transformation Filter transformation All pass systems Minimum phase systems Linear phase systems Lowpass/highpass/bandpass/bandstop transformation Fast Fourier Transform (FFT) and FFT analysis Block convolution Geortzel algorithm Decimation in time and in frequency, FFT analysis Text/Ref Books Recommended Book: Discrete Time Signal Processing Alan V. Oppenheim, Ronald W. Schafer and John R. Buch Publisher: Prentice Hall Edition Number: 2 Reference Books: Digital Signal Processing John G. Proakis, Dimitris K. Manolakis Edition Number: 4 Digital Signal Processing Sanjit K. Mitra Publisher: McGraw Hill Edition Number: 3 Time Schedule Fall Semester 2014 Faculty/Resource Person Dr SajjadHaiderZaidi PhD Electrical Engineering (Michigan State University, US)