Introduction : Basic elements of DSP system,Advantages and disadvantage of DSP over
analog processing,Application of Digital signal processing.
Discrete time Signal and Systems: Elementary discrete time signals, Manipulation of
discrete time signals, Classification of discrete time LTI system using convolution sum
method, properties of LTI system, Analysis of LTI system using Difference equqtion.
Z-Transform: Direct Z-Transform and importance of ROC, properties of Z-Transform,
Inverse Z-transform methods, Rational Z-transform function representation, system function
of LTI systems in Z-domain, one sided Z –Transform.
Discrete Fourier Transform: Frequency domain sampling and reconstruction of discrete
time signal, DFT as linear transformation, properties of DFT, use of DFT in linear filtering,
Fast fourier transform(FFT),decimation in time ,decimation in frequency algorithm,Goertzel
algorithm.
Implementation of Discrete time system: Structures for realisation of discrete time system,
Direct form,cascade form, parallel form and lattice form structures for FIR and IIR systems,
Representation of numbers, Quantisation of filter coefficients.
Design of digital filters: Fundamentals of filter design, Design of FIR filter using Window
method,Design of IIR filter by Impulse invariance, bilinear transformation and matched Z
transform technique.Analog amd digital domain frequency transformation.
DSP processor architecture fundamentals: Study of ADSP and TMS series of processor
architectures.