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Unit - 1 Random Processes & Noise

Unit 1

Random Processes Noise

1.1 Introduction

1.2 Mathematical definition of a random process

1.3 Stationary processes

1.4 Mean

1.5 Correlation Covariance function

1.6 Ergodic processes

1.7 Transmission of a random process through a LTI filter

1.8 Power spectral density

1.9 Mathematical Representation of Noise Some Sources of Noise

1.10 Frequencydomain Representation of Noise

1.11 Superposition of Noises

1.12 Linear Filtering of Noise

1.13 Quadrature Components of Noise

1.14 Representation of Noise using Orthonormal Coordinates

Unit - 2 Digital Modulation-I

Unit 2

Digital ModulationI

2.1 Baseband Signal Receiver Probability of Error

2.2 Optimal Receiver Design

2.3 Digital Modulation Generation Reception Signal Space Representation and Probability of Error Calculation for Binary Phase Shift Keying BPSK

2.4 Binary Frequency Shift Keying BFSK

2.5 Quadrature Phase Shift Keying QPSK

2.6 Mary Phase Shift Keying MPSK

Unit - 3 Digital Modulation-II

Unit 3

Digital ModulationII

3.1 Generation Reception Signal Space Representation and Probability of Error Calculation for Quadrature Amplitude Shift Keying QASK

3.2 Mary FSK MFSK

3.3 Minimum Shift Keying MSK

3.4 Pulse Shaping to reduce Interchannel and Intersymbol Interference some Issues in transmission and reception.

3.5 Orthogonal Frequency Division Multiplexing OFDM

3.6 Comparison of digital modulation systems

Unit - 4 Spread Spectrum Modulation

Unit 4

Spread Spectrum Modulation

4.1 Use of Spread Spectrum

4.2 Direct sequence DS spread spectrum

4.3 Spread Spectrum and Code Division Multiple Access CDMA

4.4 Ranging Using DS Spread Spectrum

4.5 Frequency Hopping FH Spread Spectrum

4.6 Pseudorandom PN Sequences Generation and Characteristics

4.7 Synchronization in Spread Spectrum Systems

Unit - 5 Information Theoretic Approach To Communication System

Unit 5

Information Theoretic Approach to Communication System

5.1 Introduction to information theory

5.2 Entropy and its properties

5.3 Source coding theorem

5.4 Huffman coding

5.5 ShannonFano coding

5.6 Discrete memory less channel

5.7 Mutual information

5.8 Channel capacity

5.9 Channel coding theorem

5.10 Differential entropy and mutual Information for continuous ensembles

5.11 Information Capacity theorem

Unit - 6 Error-Control Coding

Unit 6

ErrorControl Coding

6.1 Linear Block Codes Coding

6.2 Syndrome and error detection

6.3 Error detection and correction capability

6.4 Standard array and syndrome decoding

6.5 Cyclic Codes Coding Decoding

6.6 Convolutional Codes Coding Decoding

6.7 Introduction to Turbo Codes LDPC Codes

Download ECE Third Year syllabus pdf
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Other Subjects of third-year
Cellular networks
Integrated circuits
Linear control systems
Power devices & circuits
Digital signal processing
Computer networks and security
Microprocessors & microcontrollers
Electronics instruments and measurement
Probability theory and stochastic processes
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