DSP (OBE) Updated - DSP Course Summary PDF

Title DSP (OBE) Updated - DSP Course Summary
Course Digital Logic Design
Institution Nadirshaw Eduljee Dinshaw University of Engineering and Technology
Pages 3
File Size 197.8 KB
File Type PDF
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Summary

DSP Course Summary...


Description

FACULTY OF ENGINEERING SCIENCE AND TECHNOLOGY

Prerequisites:

Signals & Systems

Objectives: This course will introduce the basic concepts and techniques for processing signals on a computer. By the end of the course, students 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. Contents: Signals and Signal Processing, Discrete-Time signals and systems in Time Domain, Discrete-time Signals in Transform Domain, LTI Discrete-time Signals in Transform Domain, Digital Processing of Continuous-Time Signals, Digital Filter Structures and Digital Filter Design. Learning Outcomes:

Sr. No CLO_1 CLO_2 CLO_3

Mapping of CLOs and PLOs Course Learning outcomes PLOs Be able to understand and describe fundamental PLO_1 concepts for the digital systems. Be able to analyze discrete transforms and their PLO_5 modern techniques. Be able to design FIR and IIR filters. PLO_2

Blooms Taxonomy C_2 (Understanding) C_4 (Analysizing) C_6 (Creating)

CLO Assessment Mechanism Assessment tools

CLO_1

CLO_2 20%

CLO_3 35%

Quizzes

25% 25%

20%

15%

40%

10%

-

10%

50%

50%

Assignments Midterm Exam Final Exam

Overall Grading Policy Assessment Items Class Performance (Quizzes, Assignments)

Percentage 20%

FACULTY OF ENGINEERING SCIENCE AND TECHNOLOGY Midterm Exam

30%

Final Exam

50%

LAB (if applicable)

50 Marks

Recommended Book: Digital Signal Processing J.G. Proakis, and D.G. Manolakis, , ISBN: 81-297-0084-0, 3rd ed., Prentice Hall. Reference Books Digital Signal Processing - A computer Based Approach Sanjit K. Mitra, McGraw Hill, ISBN-13: 978-0072513783, 2nd Edition. Discrete-Time Signal Processing A. V. Oppenheim and R. W. Schaffer, ISBN-13: 978-0131988422, 3rd Edition, Prentice Hall B. Digital Signal Processing – A Modern Introduction Ambardar, ISBN: 9780534405090, publisher: Thomson.

Fundamentals of Digital Signal Processing Using MATLAB, R. J. Schilling and S. L. Harris, ISBN-13: 9780840069092, publisher: Thomson.

Course Breakdown Lecture No. 1 2 3 4 5 6 7 8 9 10 11 12 13

Topics Introduction of digital signal processing Classifications of discrete time signals Simple manipulations of discrete time systems Classification of discrete time systems Analysis of discrete time systems Analysis of discrete time linear time invariant systems Discrete time signals into impulses and convolution sum Analysis of casual linear discrete time systems Stability of linear discrete time – invariant systems Analysis of discrete time systems described by the difference equation Solution of the linear constant coefficient difference equation Impulse response of LTI recursive systems Implementation of discrete time systems

FACULTY OF ENGINEERING SCIENCE AND TECHNOLOGY 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48

z-transform Numerical analysis of z-transform and rational z transform Inverse z-transform Properties of z-transform Analysis of z transform in LTI systems Frequency domain analysis Frequency analysis of discrete time signals Frequency domain and time domain signal properties Discrete Time Fourier Transform Mid term examination Frequency domain sampling and reconstruction of Discrete time systems Linear time invariant systems and frequency selective filters. Discrete Fourier transform Ideal sampling and reconstruction of CT signals AD and DA converters Sampling of discrete time signals DFT as linear transform DFT properties Relations with z transform Circular convolution Efficient computation of DFT Divide and conquer approach – DFT Radix-2 FFT algorithms Decimation in frequency Decimation in frequency Implementation and applications of FFT algorithms Moving average filter Lowpass to high pass filter transformations Use of DFT in linear filtering Filtering of long data sequences Overlap-save and Overlap- add method Analysis of overlap save & add method Butterworth and Chebyshev Filters...


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