JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

Prerequisite

Digital Signal Processing

Course Learning Objectives

• To Comprehend characteristics of discrete time signals and systems
• To analyze and process signals using various transform techniques
• To identify various factors involved in design of digital filters
• To illustrate the effects of finite word length implementation.

Course Outcomes

• Analyze and process signals in the discrete domain
• Design filters to suit specific requirements for specific applications
• Perform statistical analysis and inferences on various types of signals
• Design multi rate signal processing of signals through systems.
• Analyze binary fixed point and floating-point representation of numbers and arithmetic operations

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 Implémentation : 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:

rd

• 1. Digital Signal Processing principles –algorithms and Applications- john G. Proakis –PHI – 3 edition 2002. st
• 2. Digital Time Signal Processing: Alan V. Oppenheim, Ronald W ,Shafer – PHI 1996 1 Edition reprint
• 3. Advanced Digital Signal Processing – Theory and Applications – Glenn Zelniker, Fred J. Taylor.

REFERENCE BOOKS

• 1. Digital Signal Processing – S Salivahanan. A Vallavaraj C. Gnanapriya –TMH – 2nd reprint 2001.
• 2. Digital Signal Processing – Sanjit K. Mitra – TMH second edition.
• 3. Theory and Applications of Digital Signal Processing – Lourens R Rebinarand Bernold.
• 4. Digital Filter Analysis and Design Auntoniam - TMH
• 5. Digital Signal Processing – J.S. Chitode – First Edition, 2008, Technical Publications.