DSP Syllabus PDF

EC T63-DIGITAL SIGNAL PROCESSING COURSE OBJECTIVE To introduce the advantages of digital signal processing, the theory and applications of IIR and FIR filters. To impart knowledge on the various types of errors that affect signals during digital signal processing....

EC T63-DIGITAL SIGNAL PROCESSING COURSE OBJECTIVE To introduce the advantages of digital signal processing, the theory and applications of IIR and FIR filters. To impart knowledge on the various types of errors that affect signals during digital signal processing. To introduce the concepts of power spectral density estimation for random signals, applications of multirate sampling and the architecture of DSP processors. COURSE OUTCOME On successful completion of the module students will be able to: Apply knowledge of mathematics, science and engineering to understand the advantages of digital signal processing, the theory and applications of IIR and FIR filters. Identify, formulate, and solve engineering problems related to various types of errors that affect signals during digital signal processing. Apply formulae and solve problems in power spectral density estimation for random signals, applications of multirate sampling and the architecture of DSP processors. UNIT- I IIR Filter Design: IIR filters - advantages and disadvantages - Design of IIR filters from analog Butterworth and Chebyschev filters - Impulse invariance and bilinear transformation methods of IIR digital filter design Realization of IIR filters Direct form I, II, cascade, parallel and ladder realization. (12) UNIT- II FIR Filter Design:FIR filters Introduction - Symmetric and asymmetric FIR filters Linear phase FIR filters Design of FIR using frequency sampling techniques Design of FIR filters using windowing technique. Realization of FIR filters Transversal, linear phase and polyphase realization structures. (12) UNIT- III Finite Word Length Effects: Fixed point and binary floating point number representations Truncation and rounding errors - Quantization noise quantization noise power input quantization error coefficient quantization error product quantization error - Overflow limit cycle -Scaling to prevent overflow Limit cycle oscillations. (12) 100  UNIT- IV Spectrum Estimation and Multirate Signal Processing: Periodogram estimation nonparametric methods Bartlett and Welch methods parametric methods AR, MA and ARMA models. Principles of multirate DSP Decimation and Interpolation by integer factors subband coding of speech signals QMF filters. (12) UNIT- V Digital Signal Processors: Introduction to programmable DSP processors Von- Neumann architecture- Harvard architecture- VLIW architecture MAC unit- pipelining.- Special addressing modes in P-DSPs- On chip peripherals, PDSPs with RISC and CISC- Architecture and addressing modes of TMS320C50 and TMS320C6X. (12) Text Books: 1. John G. Proaki edition 2008. 2.. Reference Books: 1. McGraw Hill, Third Edition, 2005. 2. Edition, 2014. Web References: 1. https://engineering.purdue.edu/~bouman/ece438/lecture/module 2. http://freevideolectures.com/Course/2339/Digital-Signal-Processing- IITKharagpur 3. http://www.analog.com/en/content/beginners_guide_to_dsp/fca.html 4. http://www.mathworks.in/academia/student_center/tutorials/signal-processing- switchyard.html 101