Page 65 - R2017 Final_BE Biomedical Curriculum and Syllabus - REC

Department of BME, REC

REFERENCES
1. “Technical Communication – Principles and Practice,” Second Edition – Meenakshi Raman
and Sangeetha Sharma, Oxford University Press, December, 2011.
2. “Interpersonal Skills: How to develop Interpersonal Skills for work and home,” Henry Lee
(Kindle Edition)
3. “Teaching the Core Skills of Listening and Speaking,” Erik Palmer (Kindle Edition)

SEMESTER VI

BM17601 DIGITAL SIGNAL PROCESSING TECHNIQUES L T P C
3 2 0 4

OBJECTIVES:
• To learn discrete Fourier transform and its properties
• To know the characteristics of IIR and FIR filters learn the design of infinite and finite
impulse response filters for filtering undesired signals
• To understand Finite word length effects
• To study the concept of Multirate and adaptive filters

UNIT I DISCRETE FOURIER TRANSFORM 15
Discrete Signals and Systems- A Review – 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.

UNIT II FINITE IMPULSE RESPONSE (FIR) FILTER 15
Introduction to FIR filter - phase delay and group delay – linear phase transfer function. Design of
FIR filter using Fourier method, Rectangular window, Hanning window, Hamming window, Kaiser
window. Design using frequency sampling technique. Structure realization of FIR system – direct
form, cascade form, linear phase FIR system.

UNIT III INFINITE IMPULSE RESPONSE (IIR) FILTER 15
Introduction to IIR filter - Impulse-invariant transformation technique – Bilinear transformation
technique – frequency transformation in digital domain - design of Butterworth filter and Chebyshev
filter (type-1) (restricted to 3rd order). Structure realization of IIR system – lattice structure and
lattice-ladder structure.

UNIT IV ANALOG TO DIGITAL CONVERSION & QUANTIZATION ERROR 15
Sampling of analog signals- Sampling theorem- ADC - Quantization of continuous amplitude
signals, Sinusoidal signal- Fixed point and floating point number representations –Quantization-
Truncation and Rounding errors - Quantization noise – coefficient quantization error – Product
quantization error - Overflow error – Round off noise power - limit cycle oscillations due to product
round off and overflow errors – Principle of scaling

UNIT V BASICS OF RANDOM SIGNAL PROCESSING 15
(ONLY QUALITATIVE ANALYSIS)
Introduction to probability function, joint probability, conditional probability – estimation parameters
– joint distribution function, probability density function, ensemble average – mean squared value,
variance, standard deviation, moments, correlation, covariance, Orthogonality, auto-covariance,
auto-correlation, cross-covariance and cross-correlation – stationarity – ergodic – white noise –

Curriculum and Syllabus | B.E Biomedical Engineering | R 2017 Page 65