JNTUH B.Tech 4th year (4-1) Digital Signal Processing gives you detail information of Digital Signal Processing R13 syllabus It will be help full to understand you complete curriculum of the year.
Objectives
This course is an essential course that provides design techniques for processing all type of signals in various fields. The main objectives are:
- To provide background and fundamental material for the analysis and processing of digital signals.
- To familiarize the relationships between continuous-time and discrete- time signals and systems.
- To study fundamentals of time, frequency and Z-plane analysis and to discuss the inter-relationships of these analytic method.
- To study the designs and structures of digital (hR and FIR) filters from analysis to synthesis for a given specifications.
- The impetus is to introduce a few real-world signal processing applications.
- To acquaint in FFT algorithms, Multi-rate signal processing techniques and finite word length effects.
UNIT -I
Introduction: Introduction to Digital Signal Processing: Discrete Time Signals & Sequences, Linear Shift Invariant Systems, Stability, and Causality, Linear Constant Coefficient Difference Equations, Frequency Domain Representation of Discrete Time Signals and Systems Realization of Digital Filters: Applications of Z — Transforms, Solution of Difference Equations of Digital Filters, System Function, Stability Criterion, Frequency Response of Stable Systems, Realization of Digital Filters — Direct, Canonic, Cascade and Parallel Forms.
UNIT -II
Discrete Fourier series: DFS Representation of Periodic Sequences, Properties of Discrete Fourier Series, Discrete Fourier Transforms: Properties of DFT, Linear Convolution of Sequences using DFT, Computation of DFT: Over-Lap Add Method, Over-Lap Save Method, Relation between DTFT, DFS, DFT and Z-Transform.
Fast Fourier Transforms: Fast Fourier Transforms (FFT) – Radix-2 Decimation-in-Time and Decimation-in-Frequency FFT Algorithms, Inverse FFT, and FFT with General Radix-N.
UNIT -III
IIR Digital Filters: Analog filter approximations — Butterworth and Chebyshev, Design of hR Digital Filters from Analog Filters, Step and Impulse Invariant Techniques, Bilinear Transformation Method, Spectral Transformations.
TEXT BOOKS
- Digital Signal Processing, Principles, Algorithms, and Applications: John G. Proakjs, Dimitrjs G. Manolakis, Pearson Education I PHI, 2007.
- Discrete Time Signal Processing — A. V. Oppenheim and R.W. Schaffer, PHI, 2009
- Fundamentals of Digital Signal Processing — Loney Ludeman, John Wiley, 2009
REFERENCE BOOKS
- Digital Signal Processing — Fundamentals and Applications Li Tan, Elsevier, 2008
- Fundamentals of Digital Signal Processing using MATLAB Robed J. Schilling, Sandra L. Harhs, Thomson, 2007
- Digital Signal Processing S.Salivahanan A.Vallavaraj and C.Gnanapriya, TMH, 2009
- Discrete Systems and Digital Signal Processing with MATLAB Taan S. EIAII, CRC press, 2009,
- Digital Signal Processing A Practical approach, Emmanuel C.ifeachor and Barñe W. Jervis, 2° Edition, Pearson Education, 2009,
- Digital Signal Processing. Nagoor Khani, TMG, 2012
Course Outcomes
- On completion of this subject, the student should be able to:
- Perform time, frequency and Z -transform analysis on signals and Systems.
- Understand the inter relationship between T and various transforms.
- Understand the significance of various filter structures and effects of roundoff errors.
- Design a digital filter for a given specifications
- Understand the fast computation of FT and appreciate the FFT processing.
- Understand the trade offs between normal and multi rate DSP techniques and finite length word effects.
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