IT6502 DIGITAL SIGNAL PROCESSING SYLLABUS
REGULATION 2013
UNIT I SIGNALS
AND SYSTEMS
Basic elements
of DSP – concepts of frequency in Analog and Digital Signals – sampling theorem
– Discrete – time signals, systems – Analysis of discrete time LTI systems – Z
transform – Convolution – Correlation.
UNIT II
FREQUENCY TRANSFORMATIONS
Introduction to
DFT – Properties of DFT – Circular Convolution - Filtering methods based on DFT
– FFT Algorithms - Decimation – in – time Algorithms, Decimation – in –
frequency Algorithms – Use of FFT in Linear Filtering – DCT – Use and
Application of DCT.
UNIT III IIR
FILTER DESIGN
Structures of
IIR – Analog filter design – Discrete time IIR filter from analog filter – IIR
filter design by Impulse Invariance, Bilinear transformation, Approximation of
derivatives – (LPF, HPF, BPF, BRF) filter design using frequency translation.
UNIT IV FIR
FILTER DESIGN
Structures of
FIR – Linear phase FIR filter – Fourier Series - Filter design using windowing
techniques (Rectangular Window, Hamming Window, Hanning Window), Frequency
sampling techniques.
UNIT V FINITE
WORD LENGTH EFFECTS IN DIGITAL FILTERS
Binary fixed
point and floating point number representations – Comparison - Quantization
noise – truncation and rounding – quantization noise power- input quantization
error- coefficient quantization error – limit cycle oscillations-dead band-
Overflow error-signal scaling.
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