JNTUK B.Tech 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
The student will be able to
- Define and use Discrete Fourier Transforms (DFTs)
- Use Z – transforms and discrete time Fourier transforms to analyze a digital system.
- Understand simple finite impulse response filters
- Learn the design procedures used for filter bank
- Learn to program a DSP processor to filter signals
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.
UNIT II : DISCRETE FOURIER SERIES & FOURIER TRANSFORMS: Properties of discrete Fourier series, DFS representation of periodic sequences, Discrete Fourier transforms: Properties of DFT, linear convolution of sequences using DFT,Computation of DFT, Fast Fourier transforms (FFT) – Radix-2 decimation in time and decimation in frequency FFT Algorithms, Inverse FFT.
UNIT III : REALIZATION OF DIGITAL FILTERS: Review of Z-transforms, Applications of Z – transforms, solution of difference equations – digital filters, Block diagram representation of linear constant-coefficient difference equations, Basic structures of IIR systems, Transposed forms, Basic
structures of FIR systems, System function,
UNIT IV : IIR & FIR DIGITAL FILTERS: Analog filter approximations – Butter worth and Chebyshev, Design of IIR Digital filters from analog filters, Design Examples: Analog-Digitaltransformations Characteristics of FIR Digital Filters, frequency response. Design of FIR Digital Filters using Window Techniques, Frequency Sampling technique, Comparison of IIR & FIR filters.
UNIT V : MULTIRATE DIGITAL SIGNAL PROCESSING: Decimation, interpolation, sampling rate conversion, Implementation of sampling rate conversion.
UNIT VI : INTRODUCTION TO DSP PROCESSORS: Introduction to programmable DSPs: Multiplier and Multiplier Accumulator (MAC), Modified Bus Structures and Memory Access schemes in DSPs Multiple access memory ,multiport memory, VLSI architecture, Pipelining, Special addressing modes, On-Chip Peripherals. Architecture of TMS 320C5X- Introduction, Bus Structure, Central Arithmetic Logic Unit, Auxiliary Register, Index Register, Block Move Address Register, Parallel Logic Unit, Memory mapped registers, program controller, Some flags in the status registers, On- chip registers, On-chip peripherals.
TEXT BOOKS
- Digital Signal Processing, Principles, Algorithms, and Applications: John G. Proakis, Dimitris G.Manolakis,Pearson Education / PHI, 2007.
- Discrete Time Signal Processing – A.V.Oppenheim and R.W. Schaffer, PHI.
- Digital Signal Processors – Architecture, Programming and Applications,, B.Venkataramani, M.Bhaskar, TATA McGraw Hill, 2002.
- Digital Signal Processing – K Raja Rajeswari, I.K. International Publishing House.
Reference Books
- Digital Signal Processing: Andreas Antoniou, TATA McGraw Hill , 2006
- Digital Signal Processing: MH Hayes, Schaum’s Outlines, TATA Mc- Graw Hill, 2007.
- DSP Primer – C. Britton Rorabaugh, Tata McGraw Hill, 2005.
- Fundamentals of Digital Signal Processing using Matlab – Robert J. Schilling, Sandra
L. Harris,Thomson, 2007. - Digital Signal Processing – Alan V. Oppenheim, Ronald W. Schafer, PHI Ed., 2006
OUTCOMES
After going through this course the student will be able to
- Estimate the spectra of signals that are to be processed by a discrete time filter, and to verify the performance of a variety of modern and classical spectrum estimation techniques.
- Design and simulate a digital filter
- Design new digital signal processing systems.
- Design and realize FIR, IIR filters
- Program a DSP processor to filter signals
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