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E-grāmata: Digital Communication: Principles and System Modelling

  • Formāts: PDF+DRM
  • Sērija : Signals and Communication Technology
  • Izdošanas datums: 02-Aug-2010
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Valoda: eng
  • ISBN-13: 9783642127434
  • Formāts - PDF+DRM
  • Cena: 106,47 €*
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  • Formāts: PDF+DRM
  • Sērija : Signals and Communication Technology
  • Izdošanas datums: 02-Aug-2010
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Valoda: eng
  • ISBN-13: 9783642127434

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"Digital Communications" presents the theory and application of the philosophy of Digital Communication systems in a unique but lucid form. The book inserts equal importance to the theory and application aspect of the subject whereby the authors selected a wide class of problems.

The Salient features of the book are:

1. The foundation of Fourier series, Transform and wavelets are introduces in a unique way but in lucid language.

2. The application area is rich and resemblance to the present trend of research, as we are attached with those areas professionally.

3. A CD is included which contains codes and MATLAB, with illuminating uncommon and common applications along with a large number of image, signal and speech demos for better understanding of the subject.

4. Elegant exercise section is designed in such a way that, the readers can get the flavor of the subject and get attracted towards the future scopes of the subject.

5. Unparallel tabular, flow chart based and pictorial methodology description will be there for sustained impression of the proposed design/algorithms in mind.



This illuminating book presents the theory and application of the philosophy of Digital Communication systems. The book inserts equal importance to the theory and application aspect of the subject whereby the authors selected a wide class of problems.

Recenzijas

From the reviews:

The reviewed book deals with the principal aspects of digital communication systems operation. The material in the book is presented in an encyclopedic way. Basic definitions and mathematical models are followed by illustrations and simple examples or case studies. This makes the book quite useful to readers willing to familiarize themselves with the basics of transmission, modulation, digital signal processing, and information and coding theory. this is an interesting and useful book, with a lot of illustrations and examples. (Stig-Olof Londen, Zentralblatt MATH, Vol. 1206, 2011)

1 Preview and Introduction
1(14)
1.1 Process of Communication
1(2)
1.2 General Definition of Signal
3(3)
1.3 Time-Value Definition of Signals-Analog and Digital
6(2)
1.3.1 Continuous Time Continuous Valued Signal
7(1)
1.3.2 Discrete Time Continuous Valued Signal
7(1)
1.3.3 Discrete Time Discrete Valued Signal
7(1)
1.4 Analog and Digital Communication Systems
8(2)
1.5 Elements of Digital Communication System
10(1)
1.6 MATLAB Programs
11(4)
1.6.1 Time and Frequency Domain Representation of Signals
11(1)
1.6.2 CTSV, DTCV, DTDV Signals
12(1)
References
13(2)
2 Waveform Endcoding
15(40)
2.1 Introduction
15(1)
2.2 Pulse Code Modulation (PCM)
15(20)
2.2.1 Process of Sampling
16(6)
2.2.2 Process of Quantization
22(2)
2.2.3 PCM Transmitter and Receiver
24(3)
2.2.4 Quantization Error
27(2)
2.2.5 Signal to Noise Ratio (SNR) for Quantized Pulses
29(1)
2.2.6 Non-uniform Quantization: Companding
30(5)
2.3 Differential Pulse Code Modulation (DPCM)
35(6)
2.3.1 Cumulative Error in PCM
35(1)
2.3.2 Prevention of Cumulative Error by Applying Feedback
36(2)
2.3.3 How We Can Predict the Future?
38(2)
2.3.4 Analysis of DPCM
40(1)
2.4 Delta Modulation
41(3)
2.4.1 Drawbacks of Delta Modulation
43(1)
2.5 Adaptive Delta Modulation
44(3)
2.5.1 Song Algorithm
44(2)
2.5.2 Space-Shuttle Algorithm
46(1)
2.6 Sigma-Delta Modulation (SDM)
47(2)
2.6.1 Noise Performance
48(1)
2.7 Linear Predictive Coder (LPC)
49(4)
2.7.1 Concept
49(1)
2.7.2 Genetic Algorithm Based Approach
50(3)
2.8 MATLAB Programs
53(2)
2.8.1 Aliasing
53(1)
References
54(1)
3 Digital Baseband Signal Receivers
55(22)
3.1 Introduction
55(1)
3.2 Integrate and Dump Type Filter
56(7)
3.2.1 Noise Power and Variance
59(2)
3.2.2 Figure of Merit
61(1)
3.2.3 Probability of Error
61(2)
3.3 The Optimum Filter
63(4)
3.4 The Matched Filter
67(5)
3.4.1 Impulse Response
67(1)
3.4.2 Probability of Error
67(3)
3.4.3 Properties of Matched Filter
70(2)
3.5 The Correlator
72(2)
3.6 Simulink Communication Block Set Example
74(3)
References
75(2)
4 Digital Baseband Signal Transmitter
77(18)
4.1 Introduction
77(1)
4.2 Elements of Digital Baseband Communication System
77(3)
4.2.1 Formatting
78(1)
4.2.2 Regenerative Repeater
78(2)
4.3 Properties and Choice of Digital Formats
80(1)
4.4 Line Coding
81(2)
4.5 Power Spectrum Density of Different Digital Formats
83(12)
4.5.1 Unipolar-NRZ
86(1)
4.5.2 Unipolar-RZ
87(1)
4.5.3 Polar-NRZ
88(1)
4.5.4 Polar-RZ
89(1)
4.5.5 Bipolar-NRZ
90(1)
4.5.6 Split-Phase (Manchester)
91(2)
References
93(2)
5 Equalization
95(16)
5.1 Inter-Symbol Interference (ISI)
95(2)
5.2 Nyquist Criterion for Distortion Less Transmission (Zero ISI)
97(6)
5.2.1 Criteria in Frequency Domain
98(2)
5.2.2 Concept of Ideal Nyquist Channel
100(1)
5.2.3 Limitations of Ideal Solution: Raised Cosine Spectrum
101(2)
5.3 Eye Pattern
103(1)
5.3.1 Information Obtained from Eye Pattern
104(1)
5.4 System Design for Known Channel
104(2)
5.5 Linear Equalizer
106(2)
5.5.1 Linear Transversal Filter
106(2)
5.6 Adaptive Equalizer
108(3)
References
110(1)
6 Digital Modulation Techniques
111(32)
6.1 Introduction
111(1)
6.2 Amplitude Shift Keying (ASK)
112(6)
6.2.1 Mathematical Model
113(2)
6.2.2 ASK Modulator
115(2)
6.2.3 Binary ASK Demodualtor
117(1)
6.3 Frequency Shift Keying (FSK)
118(4)
6.3.1 Mathematical Model
118(1)
6.3.2 BFSK Modulator
119(2)
6.3.3 FSK Demodulator
121(1)
6.4 Binary Phase Shift Keying (BPSK)
122(3)
6.4.1 Mathematical Model
123(1)
6.4.2 BPSK Modulator
124(1)
6.4.3 BPSK Demodulator
125(1)
6.5 Differential Phase Shift Keying (DPSK)
125(2)
6.5.1 DPSK Modulator
125(2)
6.5.2 DPSK Demodulator
127(1)
6.6 Quadrature Phase Shift Keying (QPSK)
127(7)
6.6.1 Mathematical Model
127(4)
6.6.2 QPSK Modulator
131(1)
6.6.3 QPSK Demodulator
131(1)
6.6.4 Offset QPSK (OQPSK)
132(2)
6.7 Minimum Shift Keying (MSK)
134(2)
6.8 Probability of Error for Different Modulation Schemes
136(3)
6.8.1 Probability of Error in ASK
136(1)
6.8.2 Probability of Error in FSK
137(1)
6.8.3 Probability of Error in PSK
138(1)
6.9 MATLAB Programs
139(4)
6.9.1 QPSK Waveform
139(1)
6.9.2 MSK Waveform
140(1)
References
141(2)
7 Spread Spectrum Modulation
143(26)
7.1 Introduction
143(1)
7.2 Processing Gain
144(1)
7.3 Pseudo-Noise (PN) Sequence
145(4)
7.3.1 Concept: A Hypothetical Experiment
145(1)
7.3.2 Generation of PN Sequence
146(1)
7.3.3 Properties of PN Sequence
147(2)
7.4 Direct Sequence Spread Spectrum (DSSS)
149(6)
7.4.1 Concept
149(2)
7.4.2 DSSS with Coherent BPSK
151(1)
7.4.3 Probability of Error Calculation
152(3)
7.5 Frequency-Hopped Spread Spectrum
155(4)
7.5.1 Concept
155(2)
7.5.2 FHSS with FSK
157(2)
7.5.3 Rate of Hopping: Fast and Slow
159(1)
7.6 Application of Spread Spectrum
159(4)
7.6.1 GPS (Global Positioning System)
159(4)
7.7 CDMA (Code Division Multiple Access)
163(6)
7.7.1 Orthogonal Chip Sequence
163(2)
7.7.2 Gold Sequence
165(1)
7.7.3 Principle of Operation
166(1)
References
166(3)
8 Information Theory
169(22)
8.1 Introduction
169(2)
8.2 Entropy
171(2)
8.3 Rate of Information
173(1)
8.4 Information Sources
173(3)
8.5 Discrete Memoryless Channel (DMC)
176(1)
8.5.1 Channel Representation
176(1)
8.5.2 The Channel Matrix
176(1)
8.6 Special Channels
177(5)
8.6.1 Lossless Channel
177(1)
8.6.2 Deterministic Channel
178(1)
8.6.3 Noise-Less Channel
179(1)
8.6.4 Binary Symmetric Channel (BSC)
179(3)
8.7 Mutual Information
182(1)
8.8 Channel Capacity
183(2)
8.8.1 Gaussian Channel: Shanon-Hartley Theorem
183(2)
8.9 Entropy Coding
185(3)
8.9.1 Shanon-Fano Coding
186(1)
8.9.2 Huffman Coding
187(1)
8.10 MATLAB Code
188(3)
8.10.1 Convergence of Pe in Cascaded BSC
188(1)
References
189(2)
9 Error Control Coding
191(22)
9.1 Introduction
191(1)
9.2 Scope of Coding
192(1)
9.3 Linear Block Code
193(3)
9.3.1 Coding Technique Using Generator Matrix
193(2)
9.3.2 Syndrome Decoding
195(1)
9.4 Convolutional Code
196(8)
9.4.1 Encoder
196(3)
9.4.2 State Diagram
199(1)
9.4.3 Code Tree
200(1)
9.4.4 Trellis Diagram
200(2)
9.4.5 Decoding of Convolutional Code by Viterbi
202(2)
9.5 Cyclic Code
204(3)
9.5.1 Concept and Properties
204(2)
9.5.2 Encoder and Decoder
206(1)
9.5.3 Meggitt Decoder
207(1)
9.6 BCH Code
207(6)
9.6.1 Simplified BCH Codes
208(2)
9.6.2 General BCH Codes
210(1)
9.6.3 Properties
210(1)
References
211(2)
Appendix A Elementary Probability Theory 213(12)
Appendix B Convolution and Correlation-Some Case Studies 225(12)
Appendix C Frequently Used MATLAB Functions 237(8)
Index 245