3-2 DSP JNTUA SPECTRUM

 

DIGITAL SIGNAL PROCESSING

 Course Objectives:

 • Program a DSP chip to filter signals using either assembly language or a C compiler for the chip. 

• Use Z transforms and discrete time Fourier transforms to analyze a digital system. 

Course Outcomes: 

At the end of the course, the student should be able to: 

 Formulate engineering problems in terms of DSP tasks. 

 Apply engineering problems solving strategies to DSP problems. 

 Design and test DSP algorithms. 

 Analyze digital and analog signals and systems. 

 Analyze and compare different signal processing strategies. 

UNIT-I 

Review of discrete-time signals and systems – Time domain analysis of discrete-time signals & systems, Frequency domain analysis of discrete-time signals and systems. Discrete Fourier Transform: Frequency-domain sampling and reconstruction of discrete-time signals, Discrete Fourier Transform (DFT), The DFT as a linear transformation, Relationship of the DFT to other transforms, Properties of DFT, Linear filtering methods based on DFT, Frequency analysis of signals using the DFT. 

UNIT-II 

Efficient computation of the DFT – Direct computation of DFT, Divide and conquer approach to computation of DFT, Radix-2, Radix-4, and Split radix FFT algorithms, Implementation of FFT algorithms, Applications of FFT algorithms – Efficient computation of the DFT of two real sequences, 2N point real sequences, Use of the FFT algorithm in linear filtering and correlation, A linear filtering approach to computation of the DFT- the Goertzel, and the Chirp-z transform algorithms, Quantization errors in the computation of DFT. 

UNIT-III 

Structures for the realization of discrete-time systems, Structures for FIR systems - Direct form, Cascade form, Frequency sampling, and Lattice structures, Structures for IIR systems – Direct form, Signal flow graphs & Transposed, Cascade form, Parallel form and Lattice structures, Conversion from Lattice structure to direct form, lattice – Ladder structure. 

UNIT-IV 

General considerations – Causality and its implications, Characteristics of practical Frequency Selective Filters, Design of Finite Impulse Response (FIR) filters – Symmetric and asymmetric FIR filters, Design of linear phase FIR filters using windows, Design of linear phase FIR filters by the frequency sampling method, Design of optimum equi-ripple linear phase FIR filters, Comparison of design methods for linear phase FIR filters, Design of Impulse Invariance Response (IIR) filters from analog filters – IIR filter design by approximation of derivatives, by Impulse invariance, and by bilinear transformation methods, Characteristics of commonly used analog filters, Design examples of both FIR and IIR filters, Frequency transformation in the analog and digital domains, Illustrative problems. 

UNIT-V 

Introduction, Decimation, and interpolation, Sampling rate conversion by a rational factor, Implementation of sampling rate conversion, Multistage implementation of sampling rate conversion, Sampling rate conversion of bandpass signals, Sampling rate conversion by arbitrary factor, Applications of multirate signal processing. 

TEXT BOOKS:

 1. John G. Proakis, Dimitris G. Manolakis, “Digital signal processing, principles, Algorithms and applications,” Pearson Education/PHI, 4th ed., 2007. 

2. Sanjit K Mitra, “Digital signal processing, A computer base approach,” Tata McGraw Hill, 3rd edition, 2009. 

REFERENCES: 

1. A.V.Oppenheim and R.W. Schaffer, & J R Buck, “Discrete Time Signal Processing,” 2nd ed., Pearson Education, 2012. 

2. B. P. Lathi, “Principles of Signal Processing and Linear Systems,” Oxford Univ. Press, 2011. 

3. Li Tan, Jean Jiang, “Digital Signal Processing, Fundamentals and Applications,” Academic Press, Second Edition, 2013.