EC208 Digital Signal Processing

Course Name: 

EC208 Digital Signal Processing


B.Tech (ECE)




Programme Core (PC)

Credits (L-T-P): 

(3-1-0) 4


Time domain analysis of discrete-time systems - Basic discrete time signals, operations and properties, mathematical view, Introduction to sampling, Nyquist theorem. Systems – properties, linear time invariant systems, impulse response, convolution, causality and stability. Difference equations. Transform domain analysis of discrete-time systems -Z Transform – definition and properties, ROC, transfer function, poles and zeroes, application to discrete systems. 

Representation of systems – signal flow graph, realization of z-domain transfer function. Frequency domain analysis of discrete-time systems -Fourier series and fourier transform. Relation between continuous and discrete time spectra, aliasing, reconstruction. DFS properties, Properties and applications of DTFT. Relationship between time, Z and frequency domains, Relation between frequency domain representation in continuous and discrete domain. Sampling in frequency domain, DFT, Properties of DFT. Linear convolution using DFT. FFT- DIT and DIF, Basics of Multirate signal processing Decimation and interpolation. Digital Filter Design- Characteristics of Digital Filters, Filter structures, FIR filter design – window method, frequency sampling method, Relation between S and Z domains, IIR filter design – Butterworth and Chebyshev


J. G. Proakis and D. G. Manolakis, Digital Signal Processing Principles, Algorithms and Applications Fourth Edition, 2011
A. V. Oppenheim and R.W. Schafer, Discrete Time Signal Processing, 2002
Paolo Prandoni and Martin Vetterli, Signal Processing for Communications, (, 2013
Ifeachor and Jervis, DSP – A practical approach, Pearson, 2002


Electronics and Communication Engineering(ECE)

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Prof. N. Shekar V. Shet, Professor and Head, 
Department of ECE, NITK, Surathkal
P. O. Srinivasnagar,
Mangalore - 575 025 Karnataka, India.

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