Advanced Digital Signal Processing Detailed Syllabus for Power & Energy Systems M.Tech first year first sem is covered here. This gives the details about credits, number of hours and other details along with reference books for the course.
The detailed syllabus for Advanced Digital Signal Processing M.Tech 2017-2018 (R17) first year first sem is as follows.
M.Tech. I Year I Sem.
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 digita 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- Nonparametric 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:
- Digital Signal Processing principles –algorithms and Applications- john G. Proakis –PHI – 3rd edition 2002.
- Digital Time Signal Processing: Alan V. Oppenheim, Ronald W ,Shafer – PHI 1996 1st Edition reprint
- Advanced Digital Signal Processing – Theory and Applications – Glenn Zelniker, Fred J. Taylor.
REFERENCE BOOKS
- Digital Signal Processing – S Salivahanan. A Vallavaraj C. Gnanapriya –TMH – 2nd reprint 2001.
- Digital Signal Processing – Sanjit K. Mitra – TMH second edition.
- Theory and Applications of Digital Signal Processing – Lourens R Rebinarand Bernold.
- Digital Filter Analysis and Design Auntoniam – TMH
- Digital Signal Processing – J.S. Chitode – First Edition, 2008, Technical Publications.
For all other M.Tech 1st Year 1st Sem syllabus go to JNTUH M.Tech Power & Energy Systems 1st Year 1st Sem Course Structure for (R17) Batch.
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