**E-book**

**1.The Scientist & Engineer’s Guide to Digital Signal Processing by Steven W. Smith.****http://www.dspguide.com/**

2.

2.

**Mixed Signal and DSP Design Techniques edited by Walt Kester.****http://www.analog.com/en/embedded-processing-dsp/learning-and-development/content/mixed_signal_dsp_design_book/fca.html**

these are free e-books and hard cover versions are available for purchase

these are free e-books and hard cover versions are available for purchase

**Question Paper**

**Question paper on CUSAT Dspace here**

**Syllabus**

**2002 admission onwards**

601 Digital Signal Processing

Module I

Introduction to discrete time signals & system - Discrete time signals and systems - Properties of discrete systems - linearity - time invariance - causality - stability - convolution - difference equation representation of discrete systems - The Z transform - properties of Z transform - the inverse Z transform - System function.

601 Digital Signal Processing

Module I

Module II

Discrete Fourier Transform & Fast Fourier Transform. Discrete Fourier series - properties - discrete fourier transform - properties - block convolution decimation in - time FFT algorithms - decimation in - frequency FFT algorithms - FFT algorithms for N a composite number.

**Module III**

FIR Digital Filters Realizations - direct - cascade - lattice forms - hardware implementation - FIR filter design using Fourier series - use of window functions - frequency sampling design.

**Module IV**

IIR Digital Filters Realizations - Direct - Cascade - Parallel forms - hardware implementation - Analog filter approximations - Butterworth and chebychev approximations - The method of mapping of differentials - impulse invariant transformation - Bilinear transformation - Matched Z transform technique.

**Module V**

Finite word length effects in digital filters - Fixed point arithmetic - Floating point arithmetic - Block floating point arithmetic - Truncation - Rounding - Quantization error in analog to digital conversion - finite register length effects in IIR & FIR filters Limit cycles. Digital signal processing application (Only brief description required) Soft ware implementation of digital filters- Architecture of typical DSP processor .

**Reference :**

1) Oppenheim & Ronald W Schafer," Digital Signal Processing", Prentice Hall India

2) .Andreas Antoniou , "Digital Filters Analysis & Design", Prentice Hall India

3) R Rabiner & B. Gold , "Theory & Application of Digital Signal processing", Prentice Hall India

4) Andreas Antoniou , "Digital Signal Processing", Prentice Hall India

5) John G Proakis & Dimitris G Manolakis ,"Digital Signal Processing ", Prentice Hall India

6) Sanjit K.Mithra , , "Digital Signal Processing", Tata Mc Graw Hill.

7) Douglas K.Lindner, "Introduction to signals &Systems" Mc Graw Hill.

2006 onwards

1) Oppenheim & Ronald W Schafer," Digital Signal Processing", Prentice Hall India

2) .Andreas Antoniou , "Digital Filters Analysis & Design", Prentice Hall India

3) R Rabiner & B. Gold , "Theory & Application of Digital Signal processing", Prentice Hall India

4) Andreas Antoniou , "Digital Signal Processing", Prentice Hall India

5) John G Proakis & Dimitris G Manolakis ,"Digital Signal Processing ", Prentice Hall India

6) Sanjit K.Mithra , , "Digital Signal Processing", Tata Mc Graw Hill.

7) Douglas K.Lindner, "Introduction to signals &Systems" Mc Graw Hill.

2006 onwards

**CS/EE 602 DIGITAL SIGNAL PROCESSING**

**Module 1**

Introduction to signals & systems- Discrete time signals and systems- Properties of discrete systems-linearity, time invariance-causality-stability-convolution-difference equation representation of discrete systems -The Z transform-properties of Z transform- the inverse z transform-System Transfer function.

**Module 2**

Frequency domain representation of discrete time signals. Discrete Fourier series(DFS)-properties Discrete Time Fourier Transform (DTFT) properties, Discrete Fourier Transform(DFT) properties& Fast Fourier Transform( FFT) Decimation in Time & Decimation in Frequency algorithms.

**Module 3**

FIR digital Filters: Transfer function. Generalized Difference equation representation. Concept of windowing. Non Recursive realization structures-direct (Tapped delay line structure) –cascade realization- Liner phase realization.

IIR Digital Filters : - Transfer function. Difference equation representation. Recursive Realizations Direct form I , Direct form II –Cascade Realization-Parallel realization – Comparison of IIR & FIR filters in terms of computational complexity, memory requirement, hardware complexity, stability .

**Module 4**

Finite word length effects in digital filters- fixed point arithmetic -Floating point arithmetic- Block floating point arithmetic - Truncation-Rounding - Quantization error in analog to digital conversion-Limit cycles. General DSP architecture- features _ On chip subsystems- memory organization-Addressing modes- Instruction types - TMS320C54X fixed point processor- TMS320C4X floating point processor

Applications of DSP

**Text:**

- P.Ramesh Babu: Digital signal Processing,SCITEC Pub., 3rd ed
- Sanjit K. Mithra, : " Digital Signal Processing", Tata Mc- Graw Hill

**References:**

- John G Proakis & Dimitris G Manolakis : "Digital Signal Processing", PHI, New Delhi
- Oppenheim & Ronald W Schafer : "Digital Signal Processing", Prentice Hall India
- Steven W. Smith, Digital Signal Processing-A practical guide for Engineers and Scientists , Elsivier India Pvt.Ltd, 2006
- Avatar Singh, Digital Signal Processing Implementations, Edition 1

**Type of questions for University Examination**

*- 8 short answer questions of 5 marks each. 2 questions from each module*

**Question 1***– There will be two choices from each module .Answer one question from each module of 15 marks*

**Question 2-5**