ELE705: Digital Signal Processing & Processors Syllabus for EL 7th Sem 2017 Pattern Mumbai University (Elective-1)

Digital Signal Processing & Processors detailed syllabus scheme for Electronics & Electrical Engineering (EL), 2017 regulation has been taken from the MU official website and presented for the Bachelor of Engineering students. For Course Code, Course Title, Test 1, Test 2, Avg, End Sem Exam, Team Work, Practical, Oral, Total, and other information, do visit full semester subjects post given below.

For 7th Sem Scheme of Electronics & Electrical Engineering (EL), 2017 Pattern, do visit EL 7th Sem Scheme, 2017 Pattern. For the Elective-1 scheme of 7th Sem 2017 regulation, refer to EL 7th Sem Elective-1 Scheme 2017 Pattern. The detail syllabus for digital signal processing & processors is as follows.

Digital Signal Processing & Processors Syllabus for Electronics & Electrical Engineering BE 7th Sem 2017 Pattern Mumbai University

Course Objectives:

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
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Course Outcomes:

Students will be able to understand concept of digital filters

1. Students will be able to decide the selection and design of digital filters
2. Students will understand the effect of hardware limitation
3. Students will be understand need of DSP processors
4. Students will be able to understand the use and application of DSP processors

1. Discrete Fourier Transform and Fast Fourier Transform

1. Discrete Fourier Series:Properties of discrete Fourier series, DFS representation of periodic sequences.
2. Discrete Fourier transforms:Properties of DFT, linear convolution of sequences using DFT, computation of DFT, relation between Z-transform and DFS 10
3. Fast Fourier Transforms:Fast Fourier transforms (FFT), Radix-2 decimation in time and decimation in frequency FFT algorithms, inverse FFT, and composite FFT

2. IIR Digital Filters 10

1. Mapping of S-plane to Z-plane, impulse invariance method, bilinear Z transformation (BLT) method, frequency warping, prewarping
2. Analog filter approximations: Butter worth and Chebyshev, design of IIR digital filters from analog filters, design examples
3. Analog filter approximations: Butter worth and Chebyshev, design of IIR digital filters from analog filters, design examples

3. FIR Digital Filters 10

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
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4. Finite Word Length Effects in Digital Filters 08

1. Number representation, fixed point, sign magnitude, Ones complement, twos complement forms, floating point numbers.
2. to truncation and rounding, Input quantization error, Product quantization error, co-efficient quantization error, zero-input limit cycle oscillations, overflow limit cycle oscillations, scaling
3. IIR digital filters, finite word length effects in FIR digital filters, quantization effects in the computation of the DFT- quantization errors in FFT algorithms

5. Introduction to DSP Processors 08

1. Introduction to fixed point and floating point DSP processor, multiplier and multiplier accumulator (MAC), modified bus structures and memory access schemes in DSPs, multiple access memory, multiport memory, VLIW architecture, pipelining, special addressing modes, on-chip peripherals
2. Features of TMS 320c67xx DSP processor, architecture of TMS 320c67xx DSP processor, architecture features: computational units, bus architecture memory, data addressing, address generation unit, program control, program sequencer, pipelining, interrupts, features of external interfacing, on-chip peripherals, hardware timers, host interface port, clock generators, SPORT

6. Application of DSP processors 06

1. Speech processing: speech analysis, speech coding, sub band coding, channel vocoder, homomorphic vocoder, digital processing of audio signals.
2. Radar signal processing: Radar principles, radar system and parameter considerations, signal design

Assessment:

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
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End Semester Examination:

1. Question paper will comprise of 6 questions, each carrying 20 marks.
2. The students need to solve total 4 questions.
3. Question No.1 will be compulsory and based on entire syllabus.
4. Remaining question (Q.2 to Q.6) will be set from all the modules.

Text Books:

1. Proakis J., Manolakis D., “Digital Signal Processing”, 4th Edition, Pearson Education
2. Oppenheim A., Schafer R., Buck J., “Discrete Time Signal Processing”, 2nd Edition, Pearson Education.
3. Babu R., “Digital Signal Processing”, 4th Edition, Scitech Publications.
4. B. Venkata Ramani and M. Bhaskar, Digital Signal Processors, Architecture, Programming and Applications, Tata McGraw Hill, 2004.
5. L. R. Rabiner and B. Gold, Theory and Applications of Digital Signal Processing, Prentice-Hall of India, 2006.
6. B. Kumar, Digital Signal Processing, New Age International Publishers, 2014.

Recommended Books:

1. S. Salivahanan, A. Vallavaraj, , Tata McGraw-Hill Education, 2001
2. A. Nagoor Kani, Digital Signal Processing, Tata McGraw Hill Publishing Company in 2012

For detail Syllabus of all subjects of Electronics & Electrical Engineering (EL) 7th Sem 2017 regulation, visit EL 7th Sem Subjects of 2017 Pattern.