Practical 7




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SEMESTER VI




SL.

NO

COURSE

CODE

COURSE TITLE



L


T


P


C

PRACTICAL

1

CP9241

Project Work (Phase II)

0

0

24

12

TOTAL

0

0

24

12



LIST OF ELECTIVES

M.E. COMPUTER AND COMMUNICATION


SL.

NO

COURSE CODE

COURSE TITLE



L


T


P


C



CU9221

Wireless Mobile Communication

3

0

0

3



CP9252

Microwave Circuits

3

0

0

3



AP9251

Digital Image Processing

3

0

0

3



AP9252

Neural Networks and Its Applications

3

0

0

3



VL9261

ASIC Design

3

0

0

3



AP9224

Embedded Systems

3

0

0

3



CP9253

High Speed Switching Architectures

3

0

0

3



CP9266

Non linear Fiber Optics

3

0

0

3



VL9264

Digital Speech Signal Processing

3

0

0

3



CP9256

Communication Network Security

3

0

0

3



NE9254

Software Engineering Methodologies

3

0

0

3



CL9257

XML and Web Services

3

0

0

3



CS9221

Data Base Technology

3

0

0

3



CU9222

Multimedia Compression Techniques

3

0

0

3



CP9259

Wireless Sensor Networks

3

0

0

3



CP9260

Operating System Design

3

0

0

3



CP9267

Visual Programming

3

0

0

3



CS9263

Adhoc Networks

3

0

0

3



CP9264

Distributed Computing

3

0

0

3



CP9262

Object Oriented System Design

3

0

0

3






Special Elective

3

0

0

3



MA9210 APPLIED MATHEMATICS FOR COMMUNICATION ENGINEERS

L T P C

3 1 0 4

UNIT I SPECIAL FUNCTIONS 9

Bessel's equation – Bessel function – Recurrence relations - Generating function and orthogonal property for Bessel functions of first kind – Fourier-Bessel expansion.


UNIT II MATRIX THEORY 9

Some important matrix factorizations – The Cholesky decomposition – QR factorization – Least squares method – Singular value decomposition - Toeplitz matrices and some applications.


UNIT III ONE DIMENSIONAL RANDOM VARIABLES 9

Random variables - Probability function – moments – moment generating functions

and their properties – Binomial, Poisson, Geometric, Uniform, Exponential, Gamma

and Normal distributions – Function of a Random Variable.


UNIT IV TWO DIMENSIONAL RANDOM VARIABLES 9

Joint distributions – Marginal and Conditional distributions – Functions of two dimensional random variables – Regression Curve – Correlation.


UNIT V QUEUEING MODELS 9

Poisson Process – Markovian queues – Single and Multi-server Models – Little’s formula - Machine Interference Model – Steady State analysis – Self Service queue.


1   2   3   4   5   6   7   8   9   ...   13

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