Page 62 - REC :: B.E. EEE CURRICULUM & SYLLABUS - R2017

Dept of EEE, REC

DISCRETE TIME SYSTEMS AND SIGNAL
EE17505 L T P C
PROCESSING
2 2 0 3

OBJECTIVES:
 To classify signals and systems and their representation.
 To analyze the discrete time systems.
 To understand various transformation technique and their representation and their computation.
 To understand filters and their design for digital implementation.
 To understand a programmable digital signal processor and quantization effects.

UNIT I DISCRETE TIME SIGNAL AND SYSTEM 12
Classification of systems: Continuous, discrete, linear, causal, stable, dynamic, recursive, time variance;
classification of signals: continuous and discrete, energy and power; mathematical representation of
signals; sampling techniques, quantization, quantization error, Nyquist rate, aliasing effect, Antialiasing
filter, Solution of difference equation by z-transform, application to discrete systems.

UNIT II DISCRETE FOURIER TRANSFORM & COMPUTATION 12
Discrete Time Fourier transforms, Discrete Fourier Transform- properties- Circular convolution,
magnitude and phase representation - Computation of DFT using FFT algorithm – DIT &DIF using radix
2 FFT – Butterfly structure- inverse FFT.

UNIT III DESIGN OF IIR FILTERS 12
Analog filter design – Butterworth and Chebyshev approximations; digital filter design using impulse
invariant and bilinear transformation – Warping and pre warping, realization of IIR filter using direct
form, cascade form and parallel form.

UNIT IV DESIGN OF FIR FILTERS 12
Amplitude and phase response of FIR filters–Linear phase characteristics, FIR design using Fourier
series method - Gibbs phenomenon- Window - Need and choice of windows – Windowing technique
for the design of linear phase FIR filters, FIR design using frequency sampling method, Realization of
IIR filters using direct form, cascade form and linear phase form.

UNIT V DIGITAL SIGNAL PROCESSORS 12
Introduction – Architecture – Features – Addressing Formats – Functional modes - Introduction to
Commercial Digital Signal Processors – TMS320C5X - TMS320C54X - Motor controller processor
TMS320F2407.
TOTAL (L:45+T:15): 60 PERIODS

OUTCOMES:
On completion of the course, the students will be able to
 understand classification of signal and systems, analyse the discrete time systems using z
transform.
 compute the harmonics present in the signals using FFT
 design the analog and digital IIR filters.

Curriculum and Syllabus | B.E. Electrical and Electronics Engineering | R2017 Page 62