Fundamentals of communication systems 2nd Edition by John G Proakis, Masoud Salehi ISBN 0133354857 9780133354850 by Proakis, John G;salehi, Masoud 9780133354850, 9781292015682, 0133354857, 1292015683 instant download after payment.

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ISBN 10: 0133354857 
ISBN 13: 9780133354850
Author: John G Proakis, Masoud Salehi

This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. For a one/two-semester senior or first-year graduate level course in analog and digital communications. This text is also a suitable reference for electrical engineers for all basic relevant topics in digital communication system design. With an emphasis on digital communications, Communication Systems Engineering, introduces the basic principles underlying the analysis and design of communication systems. In addition, this text gives a solid introduction to analog communications and a review of important mathematical foundation topics.

Fundamentals of communication systems 2nd Table of contents:

Chapter 1 Introduction
1.1 Historical Review
1.2 Elements of an Electrical Communication System
1.2.1 Digital Communication System
1.2.2 Early Work in Digital Communications
1.3 Communication Channels and Their Characteristics
1.4 Mathematical Models for Communication Channels
1.5 Summary and Further Reading
Chapter 2 Signals and Linear Systems
2.1 Basic Concepts
2.1.1 Basic Operations on Signals
Time Shifting.
Time Reversal.
Time Scaling.
2.1.2 Classification of Signals
Continuous-Time and Discrete-Time Signals.
Real and Complex Signals.
Deterministic and Random Signals.
Periodic and Nonperiodic Signals.
Causal and Noncausal Signals.
Even and Odd Signals.
Hermitian Symmetry for Complex Signals.
Energy-Type and Power-Type Signals.
Solution
2.1.3 Some Important Signals and Their Properties
The Sinusoidal Signal.
The Complex Exponential Signal.
The Unit-Step Signal.
The Rectangular Pulse.
The Triangular Signal.
The Sinc Signal.
The Sign or the Signum Signal.
The Impulse or Delta Signal.
Solution
2.1.4 Classification of Systems
Discrete-Time and Continuous-Time Systems.
Linear and Nonlinear Systems.
Time-Invariant and Time-Varying Systems.
Causal and Noncausal Systems.
2.1.5 Analysis of LTI Systems in the Time Domain
The Convolution Integral.
2.2 Fourier Series
2.2.1 Fourier Series and Its Properties
Solution
Solution
Solution
Positive and Negative Frequencies.
Fourier Series for Real Signals.
Solution
Fourier-Series Expansion for Even and Odd Signals.
Solution
2.2.2 Response of LTI Systems to Periodic Signals
Solution
2.2.3 Parseval's Relation
Solution
2.3 Fourier Transform
2.3.1 From Fourier Series to Fourier Transforms
Solution
Solution
Solution
Fourier Transform of Real, Even, and Odd Signals.
Signal Bandwidth.
2.3.2 Basic Properties of the Fourier Transform
Linearity.
Solution
Duality.
Solution
Solution
Shift in Time Domain.
Solution
Solution
Scaling.
Solution
Convolution.
Solution
Solution
Modulation.
Solution
Solution
Solution
Solution
Parseval's Relation.
Solution
Autocorrelation.
Differentiation.
Solution
Differentiation in Frequency Domain.
Solution
Integration.
Solution
Moments.
Solution
Solution
2.3.3 Fourier Transform for Periodic Signals
Solution
2.3.4 Transmission over LTI Systems
Solution
Solution
2.4 Filter Design
Solution
2.5 Power and Energy
2.5.1 Energy-Type Signals
Solution
Solution
2.5.2 Power-Type Signals
2.6 Hubert Transform and Its Properties
Solution
2.7 Lowpass and Bandpass Signals
2.8 Summary and Further Reading
Problems
Computer Problems
Chapter 3 Amplitude Modulation
3.1 Introduction to Modulation
3.2 Amplitude Modulation
3.2.1 Double-Sideband Suppressed-Carrier AM
Spectrum of the DSB-SC AM Signal.
Solution
Solution
Power Content of DSB-SC Signals.
Solution
Demodulation of DSB-SC AM Signals.
3.2.2 Conventional Amplitude Modulation
Spectrum of the Conventional AM Signal.
Solution
Power for the Conventional AM Signal.
Solution
Demodulation of Conventional DSB-AM Signals.
3.2.3 Single-Sideband AM
Solution
Demodulation of SSB-AM Signals.
3.2.4 Vestigial-Sideband AM
Solution
3.3 Implementation of Amplitude Modulators and Demodulators
3.4 Signal Multiplexing
3.4.1 Frequency-Division Multiplexing
3.4.2 Quadrature-Carrier Multiplexing
3.5 Am Radio Broadcasting
3.6 Summary and Further Reading
Appendix 3A: Derivation of the Expression for SSB-AM Signals
Problems
Computer Problems
Chapter 4 Angle Modulation
4.1 Representation of FM and PM Signals
Solution
4.2 Spectral Characteristics of Angle-Modulated Signals
4.2.1 Angle Modulation by a Sinusoidal Signal
Solution
4.2.2 Angle Modulation by an Arbitrary Message Signal
Solution
4.3 Implementation of Angle Modulators and Demodulators
4.4 FM Radio Broadcasting
4.5 Summary and Further Reading
Problems
Computer Problems
Chapter 5 Probability and Random Processes
5.1 Review of Probability and Random Variables
5.1.1 Sample Space, Events, and Probability
5.1.2 Conditional Probability
Solution
Solution
5.1.3 Random Variables
Important Random Variables.
Bernoulli random variable.
Binomial random variable.
Solution
Uniform random variable.
Gaussian or normal random variable.
Solution
5.1.4 Functions of a Random Variable
Solution
Solution
Statistical Averages.
5.1.5 Multiple Random Variables
Solution
Solution
Multiple Functions of Multiple Random Variables.
Solution
Jointly Gaussian Random Variables.
5.1.6 Sums of Random Variables
5.2 Random Processes: Basic Concepts
Solution
5.2.1 Statistical Averages
Definition 5.2.1.
Definition 5.2.2.
5.2.2 Wide-Sense Stationary Processes
Definition 5.2.3.
Definition 5.2.4.
Solution
5.2.3 Multiple Random Processes
Definition 5.2.5.
Definition 5.2.6.
Definition 5.2.7.
Solution
5.2.4 Random Processes and Linear Systems
Solution
Solution
5.2.5 Power Spectral Density of Stationary Processes
Theorem [Wiener-Khinchin]
Solution
Solution
Power Spectra in LTI Systems.
5.2.6 Power Spectral Density of a Sum Process
5.3 GAUSSIAN AND WHITE PROCESSES
5.3.1 Gaussian Processes
Definition 5.3.1.
Solution
Definition 5.3.2.
Property 1.
Property 2.
Solution
5.3.2 White Processes
Definition 5.3.3.
Properties of the Thermal Noise.
5.3.3 Filtered Noise Processes
Properties of the In-Phase and Quadrature Processes.
Solution
Noise Equivalent Bandwidth.
Solution
5.4 Summary and Further Reading
Problems
Computer Problems
Chapter 6 Effect of Noise on Analog Communication Systems
6.1 Effect of Noise on Amplitude Modulation Systems
6.1.1 Effect of Noise on a Baseband System
Solution
6.1.2 Effect of Noise on DSB-SC AM
6.1.3 Effect of Noise on SSB AM
6.1.4 Effect of Noise on Conventional AM
Solution
6.2 Effect of Noise on Angle Modulation
Solution
6.2.1 Threshold Effect in Angle Modulation
Solution
6.2.2 Preemphasis and Deemphasis Filtering for FM
Solution
6.3 Comparison of Analog-Modulation Systems
6.4 Effects of Transmission Losses and Noise in Analog Communication Systems
6.4.1 Characterization of Thermal Noise Sources
6.4.2 Effective Noise Temperature and Noise Figure
Solution
6.4.3 Transmission Losses
Solution
Solution
Solution
6.4.4 Repeaters for Signal Transmission
Solution
6.5 Summary and Further Reading
Problems
Computer Problems
Chapter 7 Analog-to-Digital Conversion
7.1 Sampling of Signals and Signal Reconstruction from Samples
7.1.1 The Sampling Theorem
Sampling Theorem.
Solution
Solution
7.2 Quantization
7.2.1 Scalar Quantization
Solution
Definition 7.2.1.
Solution
Uniform Quantization.
Nonuniform Quantization.
Solution
7.2.2 Vector Quantization
7.3 Encoding
7.4 Waveform Coding
7.4.1 Pulse Code Modulation
Uniform PCM.
Solution
Nonuniform PCM.
7.4.2 Differential Pulse Code Modulation
Solution
7.4.3 Delta Modulation
Adaptive Delta Modulation.
7.5 Analysis-Synthesis Techniques
7.6 Digital Audio Transmission and Digital Audio Recording
7.6.1 Digital Audio in Telephone Transmission Systems
7.6.2 Digital Audio Recording
7.7 The JPEG Image-Coding Standard
7.8 Summary and Further Reading
Problems
Computer Problems
Chapter 8 Digital Modulation Methods in an Additive White Gaussian Noise Channel
8.1 Geometric Representation of Signal Waveforms
8.2 Binary Modulation Schemes
8.2.1 Binary Antipodal Signaling
Solution
Binary Amplitude-Shift Keying.
8.2.2 Binary Orthogonal Signaling
Binary Pulse Position Modulation.
Binary Frequency-Shift Keying.
Solution
8.3 Optimum Receiver for Binary Modulated Signals in Additive White Gaussian Noise
8.3.1 Correlation-Type Demodulator
Binary Antipodal Signals.
Solution
Solution
Solution
Binary Orthogonal Signals.
Solution
Solution
Solution
8.3.2 Matched-Filter-Type Demodulator
Binary Antipodal Signals.
Solution
Binary Orthogonal Signals.
Properties of the Matched Filter.
Frequency-Domain Interpretation of the Matched Filter.
Solution
8.3.3 The Performance of the Optimum Detector for Binary Signals
Binary Antipodal Signals.
Binary Orthogonal Signals.
Performance of General Binary Equiprobable Signaling.
Solution
8.4 M-ary Digital Modulation
8.4.1 The Optimum Receiver for M-ary Signals in AWGN
The Signal Demodulator.
Solution
Solution
The Optimum Detector.
Solution
8.4.2 A Union Bound on the Probability of Error
8.5 M-ary Pulse Amplitude Modulation
Solution
8.5.1 Carrier-Modulated PAM for Bandpass Channels (M-ary ASK)
Solution
8.5.2 Demodulation and Detection of Amplitude-Modulated PAM Signals
8.5.3 Probability of Error for M-ary PAM
Solution
8.6 Phase-Shift Keying
8.6.1 Geometric Representation of PSK Signals
Solution
8.6.2 Demodulation and Detection of PSK Signals
8.6.3 Probability of Error for Phase-Coherent PSK Modulation
Solution
8.6.4 Differential Phase Encoding and Differential Phase Modulation and Demodulation
Differential Phase-Shift Keying.
8.6.5 Probability of Error for DPSK
8.7 Quadrature Amplitude-Modulated Digital Signals
8.7.1 Geometric Representation of QAM Signals
Solution
8.7.2 Demodulation and Detection of QAM Signals
8.7.3 Probability of Error for QAM
Solution
8.8 Carrier-Phase Estimation
8.8.1 The Phase-Locked Loop
Effect of Additive Noise on Phase Estimation.
8.8.2 The Costas Loop
8.8.3 Carrier-Phase Estimation for PAM
8.8.4 Carrier-Phase Estimation for PSK
8.8.5 Carrier-Phase Estimation for QAM
8.9 Symbol Synchronization
8.9.1 Early-Late Gate Synchronizers
8.9.2 Minimum Mean Square Error Method
8.9.3 Maximum-Likelihood Method
8.9.4 Spectral-Line Method
8.9.5 Symbol Synchronization for Carrier-Modulated Signals
8.10 Regenerative Repeaters
Solution
8.11 Summary and Further Reading
Problems
Computer Problems
Chapter 9 Multidimensional Digital Modulation
9.1 M-ary Orthogonal Signals
Solution
9.1.1 Probability of Error for M-ary Orthogonal Signals
9.1.2 A Union Bound on the Error Probability of M-ary Orthogonal Signals
9.2 Biorthogonal Signals
Solution
9.2.1 Probability of Error for M-ary Biorthogonal Signals
9.3 Simplex Signals
9.3.1 Probability of Error for M-ary Simplex Signals
9.4 Binary-Coded Signals
Solution
9.4.1 Probability of Error for Binary-Coded Signals
9.5 Frequency-Shift Keying
9.5.1 Demodulation of M-ary FSK
9.5.2 Optimum Detector for Noncoherent Binary FSK
9.5.3 Probability of Error for Noncoherent Detection of M-ary FSK
Solution
9.6 Modulation Systems With Memory
9.6.1 Continuous-Phase FSK
Minimum-Shift Keying.
Continuous-Phase Modulation.
9.6.2 Spectral Characteristics of CPFSK Signals
9.7 Comparison of Modulation Methods
9.8 Summary and Further Reading
Problems
Computer Problems
Chapter 10 Digital Transmission through Bandlimited AWGN Channels
10.1 Characterization of Bandlimited Channels and Signal Distortion
Solution
10.1.1 Intersymbol Interference in Signal Transmission
10.1.2 Digital Transmission through Bandlimited Bandpass Channels
10.2 The Power Spectrum of Digitally Modulated Signals
Solution
Solution
10.3 Signal Design for Bandlimited Channels
Solution
10.3.1 Design of Bandlimited Signals for Zero ISI—The Nyquist Criterion
Nyquist Condition for Zero ISI.
Solution
10.3.2 Design of Bandlimited Signals with Controlled ISI—Partial-Response Signals
10.4 Detection of Partial-Response Signals
10.4.1 Symbol-by-Symbol Detection
Solution
Solution
10.4.2 Probability of Error for Symbol-by-Symbol Detection
10.4.3 Maximum-Likelihood Sequence Detection of Partial-Response Signals
10.4.4 Error Probability of the Maximum-Likelihood Sequence Detector
10.5 System Design in the Presence of Channel Distortion
10.5.1 Design of Transmitting and Receiving Filters for a Known Channel
Solution
10.5.2 Channel Equalization
Maximum-Likelihood Sequence Detection.
Linear Equalizers.
Solution
Solution
Adaptive Equalizers.
Decision-Feedback Equalizer.
10.6 Summary and Further Reading
APPENDIX 10A: Power Spectrum of Modulated Signals
10A.1 The Power Spectrum of the Baseband Signal
10A.2 The Power Spectrum of the Carrier Modulated Signals
Problems
Computer Problems
Chapter 11 Multicarrier Modulation and OFDM
11.1 Orthogonal Frequency-Division Multiplexing
11.2 Modulation and Demodulation in An OFDM System
Solution
Solution
11.3 An OFDM System Implemented via the FFT Algorithm
Solution
Solution
11.4 Spectral Characteristics of OFDM Signals
11.5 Peak-to-Average Power Ratio in OFDM Systems
Solution
11.6 Applications of OFDM
11.6.1 Digital Subscriber Lines
11.6.2 Wireless LANs
11.6.3 Digital Audio Broadcasting
11.7 Summary and Further Reading
Problems
Computer Problems
Chapter 12 An Introduction to Information Theory
12.1 Modeling Information Sources
12.1.1 Measure of Information
Definition 12.1.1.
Solution
Solution
12.1.2 Joint and Conditional Entropy
Definition 12.1.2.
Definition 12.1.3.
Solution
Definition 12.1.4.
Solution
12.1.3 Mutual Information
Definition 12.1.5.
Solution
12.1.4 Differential Entropy
Definition 12.1.6.
Solution
Solution
12.2 The Source Coding Theorem
12.3 Source Coding Algorithms
12.3.1 The Huffman Source Coding Algorithm
Huffman Coding Algorithm.
Solution
12.3.2 The Lempel-Ziv Source Coding Algorithm
12.4 Modeling of Communication Channels
12.5 Channel Capacity
12.5.1 Gaussian Channel Capacity
Bandlimited Gaussian Waveform Channels.
Solution
12.6 Bounds on Communication
12.7 Summary and Further Reading
Problems
Computer Problems
Chapter 13 Coding for Reliable Communications
13.1 The Promise of Coding
13.2 Linear Block Codes
Definition 13.2.1.
Definition 13.2.2.
Definition 13.2.3.
Definition 13.2.4.
Definition 13.2.5.
Theorem 13.2.1.
13.2.1 Decoding and Performance of Linear Block Codes
Soft-Decision Decoding.
Solution
Hard-Decision Decoding.
Theorem 13.2.2.
Theorem 13.2.3.
Solution
Solution
13.2.2 Some Important Linear Block Codes
13.2.3 Error Detection versus Error Correction
13.2.4 Burst-Error-Correcting Codes
13.3 Convolutional Codes
13.3.1 Basic Properties of Convolutional Codes
Encoding.
Solution
The Transfer Function.
Solution
Catastrophic Convolutional Codes.
13.3.2 Maximum Likelihood Decoding of Convolutional Codes—The Viterbi Algorithm
Solution
13.3.3 Other Decoding Algorithms for Convolutional Codes
13.3.4 Bounds on the Error Probability of Convolutional Codes
Convolutional Codes with Good Distance Properties.
13.4 Good Codes Based on Combination of Simple Codes
13.4.1 Product Codes
13.4.2 Concatenated Codes
13.5 Turbo Codes and Iterative Decoding
Solution
13.5.1 MAP Decoding of Convolutional Codes—The BCJR Algorithm
13.5.2 Iterative Decoding for Turbo Codes
13.5.3 Performance of Turbo Codes
13.6 Low-Density Parity-Check Codes
Solution
13.6.1 Decoding LDPC Codes
The Bit-Flipping Algorithm.
The Sum-Product Algorithm.
13.7 Coding for Bandwidth-Constrained Channels
13.7.1 Combined Coding and Modulation
13.7.2 Trellis-Coded Modulation
Set Partitioning Principles.
Coded Modulation.
Decoding of Trellis-Coded Modulation Codes.
13.8 Practical Applications of Coding
13.8.1 Coding for Deep-Space Communications
13.8.2 Coding for Telephone-Line Modems
13.9 Summary and Further Reading
Problems
Computer Problems
Chapter 14 Data Transmission in Fading Multipath Channels
14.1 Characterization of Physical Wireless Channels
14.2 Channel Models for Time-Variant Multipath Channels
14.2.1 Frequency Nonselective Fading Channel
Slow Fading Frequency Nonselective Channel.
Solution
Frequency Nonselective Rayleigh Fading Channel.
Solution
14.2.2 Frequency Selective Fading Channel
Tapped Delay Line Channel Model.
Solution
14.2.3 Models for the Doppler Power Spectrum
Solution
Jakes' Model for the Doppler Power Spectrum.
Solution
14.2.4 Propagation Models for Mobile Radio Channels
14.3 Performance of Binary Modulation in Rayleigh Fading Channels
14.3.1 Probability of Error in Frequency Nonselective Channels
14.3.2 Performance Improvement Through Signal Diversity
Benefits of Coding in Achieving Signal Diversity.
Solution
14.3.3 The RAKE Demodulator and Its Performance in Frequency Selective Channels
14.3.4 OFDM Signal Transmission in Frequency Selective Channels
Solution
Solution
14.4 Multiple Antenna Systems
14.4.1 Channel Models for Multiple Antenna Systems
14.4.2 Signal Transmission in a Slow Fading Frequency Nonselective MIMO Channel
Solution
14.4.3 Detection of Data Symbols in a MIMO System
Maximum-Likelihood Detector.
Minimum Mean-Square-Error Detector.
Inverse Channel Detector.
14.4.4 Error Rate Performance of the Detectors
Solution
14.4.5 Space-Time Codes for MIMO Systems
Space–Time Block Codes.
The Alamouti STBC.
Solution
Solution
Space–Time Trellis Codes.
14.5 Link Budget Analysis For Radio Channels
Solution
Solution
14.6 Summary and Further Reading
Problems
Computer Problems
Chapter 15 Spread-Spectrum Communication Systems
15.1 Model of a Spread-Spectrum Digital Communication System
15.2 Direct Sequence Spread-Spectrum Systems
15.2.1 Effect of Despreading on a Narrowband Interference
15.2.2 Probability of Error at the Detector
Solution
The Interference Margin.
Solution
15.2.3 Performance of Coded Spread-Spectrum Signals
15.3 Some Applications of DS Spread-Spectrum Signals
15.3.1 Low-Detectability Signal Transmission
Solution
15.3.2 Code Division Multiple Access
Solution
15.3.3 Communication over Channels with Multipath
15.3.4 Wireless LANs
15.4 Generation of PN Sequences
15.5 Frequency-Hopped Spread Spectrum
15.5.1 Slow Frequency-Hopping Systems and Partial-Band Interference
15.5.2 Fast Frequency Hopping
Solution
15.5.3 Applications of FH Spread Spectrum
15.6 Synchronization of Spread-Spectrum Systems
15.6.1 Acquisition Phase
15.6.2 Tracking
15.7 Digital Cellular Communication Systems
15.7.1 The GSM System
15.7.2 CDMA System Based on IS-95
Forward Link.
Reverse link.
15.7.3 Third Generation Cellular Communication Systems and Beyond
15.8 Summary and Further Reading
Problems
Computer Problems
References

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