JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

Prerequisite

Digital signal processing

Course Objectives:

• 1. To emphasize the advanced concepts of digital signal processing and the mathematical basis of discrete time signal analysis.
• 2. To introduce the implementation of DSP algorithms and power spectrum analysis.

Course Outcomes

Upon the completion of this course, the students will be able to

• 1. Solve the various types of practical problems of DSP processors.
• 2. Develop DSP based real time systems.
• 3. Design and analyze various filters.

UNIT - I

Digital Filter Structures: Block diagram representation – Equivalent Structures – FIR and IIR digital filter Structures AII pass Filters - tunable IIR Digital Sine-cosine generator - Computational complexity of digital filter structures.

UNIT - II

Digital Filter Design: Preliminary considerations- Bilinear transformation method of IIR filter design – design of Low pass high pass – Band pass, and Band stop- IIR digital filters – Spectral transformations of IIR filters – FIR filter design – based on Windowed Fourier series – design of FIR digital filters with least – mean square-error – constrained Least –square design of FIR digital filters.

UNIT - III

DSP Algorithm Implementation: Computation of the discrete Fourier transform- Number representation – Arithmetic operations – handling of overflow – Tunable digital filters – function approximation.

UNIT - IV

Analysis of Finite Word Length Effects: The Quantization process and errors-Quantization of fixed –point and floating –point Numbers – Analysis of coefficient Quantization effects – Analysis of Arithmetic Round-off errors- Dynamic range scaling – signal –to- noise in Low –order IIR filters- Low – Sensitivity Digital filter – Reduction of Product round-off errors feedback – Limit cycles in IIR digital filter – Round – off errors in FFT Algorithms.

UNIT - V

Power Spectrum Estimation: Estimation of spectra from Finite Duration Observations signals- Non- parametric methods for power spectrum Estimation- parametric method for power spectrum Estimation- Estimation of spectral form-Finite duration observation of signals- Non-parametric methods for power spectrum estimation – Walsh methods – Blackman and torchy method.

TEXT BOOKS:

• 1. Sanjit K. Mitra, Digital signal processing – TMH second edition
• 2. Alan V. Oppenheim, Ronald W, Shafer, Discrete Time Signal Processing – PHI 1996 1ST Edition reprint
• 3. John G. Proakis, Digital Signal Processing principles – Algorithms and Applications – PHI – 3RD edition 2002. R19 M.TECH CONTROL ENGINEERING. / CONTROL SYSTEM

REFERENCES:

• 1. S Salivahanan. A. Vallavaraj C. Gnanapriya, Digital Signal Processing – TMH – 2nd reprint 2001.
• 2. Lourens R Rebinarand Bernold, Theory and Applications of Digital Signal Processing.
• 3. Auntoniam, Digital Filter Analysis and Design, TMH. R19 M.TECH CONTROL ENGINEERING. / CONTROL SYSTEM M. Tech – I Year – II Sem. (Control Engg. / Control Sys.)