Digital Signal Processing detailed syllabus scheme for B.Tech Electronics Engineering (EL), 2017 onwards has been taken from the DBATU official website and presented for the Bachelor of Technology students. For Subject Code, Course Title, Lecutres, Tutorials, Practice, Credits, and other information, do visit full semester subjects post given below.
For all other DBATU Syllabus for Electronics Engineering 5th Sem 2017, do visit EL 5th Sem 2017 Onwards Scheme. The detailed syllabus scheme for digital signal processing is as follows.
Digital Signal Processing Syllabus for Electronics Engineering (EL) 3rd Year 5th Sem 2017 DBATU
Course Objectives:
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Course Outcomes:
After successfully completing the course students will be able to
- Understand use of different transforms and analyze the discrete time signals and systems.
- Realize the use of LTI filters for filtering different real world signals.
- Capable of calibrating and resolving different frequencies existing in any signal.
- Design and implement multistage sampling rate converter.
Unit 1
DSP Preliminaries
Sampling, DT signals, sampling theorem in time domain, sampling of analog signals, recovery ofanalog signals, and analytical treatment with examples, mapping between analog frequencies todigital frequency, representation of signals as vectors, concept of Basis function and orthogonality. Basic elements of DSP and its requirements, advantages of Digital over Analog signal processing.
Unit 2
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Unit 3
Z transform
Need for transform, relation between Laplace transform and Z transform, between Fourier transform and Z transform, Properties of ROC and properties of Z transform, Relation between pole locations and time domain behavior, causality and stability considerations for LTI systems, Inverse Z transform, Power series method, partial fraction expansion method, Solution of difference equations.
Unit 4
IIR Filter Design
Concept of analog filter design (required for digital filter design), Design of IIR filters from analog filters, IIR filter design by approximation of derivatives, , IIR filter design by impulse invariance method, Bilinear transformation method, warping effect. Characteristics of Butterworth filters, Chebyshev filters and elliptic filters, Butterworth filter design, IIR filter realization using direct form, cascade form and parallel form, Finite word length effect in IIR filter design
Unit 5
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Unit 6
Multirate DSP and Introduction to DSP Processor
Concept of Multirate DSP, Sampling rate conversion by a non-integer factor, Design of two stage sampling rate converter, General Architecture of DSP, Case Study of TMS320C67XX, Introduction to Code composer studio. Application of DSP to Voice Processing, Music processing, Image processing and Radar processing.
Reference/Text Book:
- John G. Proakis, Dimitris G. Manolakis, Digital Signal Processing: Principles, algorithms and applications Fourth edition, Pearson Prentice Hall.
- S. Salivahanan, C. Gnanpriya, Digital Signal processing, McGraw Hill.
- Ifaeachor E.C, Jervis B. W., Digital Signal processing: Practical approach, Pearson publication.
- Dr. Shaila Apte, Digital Signal Processing Wiley India Publication, second edition.
- K. A. Navas, R. Jayadevan, Lab Primer through MATLAB, PHI.
- Li Tan, Jean Jiang, Digital Signal Processing: Fundamentals and applications Academic press.
For detail syllabus of all other subjects of Electronics Engineering (EL) 5th Sem 2017 regulation, visit EL 5th Sem Subjects syllabus for 2017 regulation.