Digital communications principles and systems

This book aims to provide post graduate students and practising engineers with a thorough understanding in the core principles and design issues of digital communications to meet the industry demand for in-depth expertise in digital transmission techniques. This book describes the engineering concep...

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Bibliographic Details
Main Author: Otung, Ifiok (Author)
Format: Book
Language:English
Published: London, UK The Institution of Engineering and Technology 2014
Series:IET telecommunications series 58
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Table of Contents:
  • Machine generated contents note: 1.Overview of digital communication
  • In Chapter One
  • 1.1.Introduction
  • 1.2.Building blocks of a digital communication system
  • 1.2.1.Transmitter and receiver
  • 1.2.2.Analogue and digital communication systems
  • 1.2.3.Information source .2.4.Information sink
  • 1.2.5.Channel
  • 1.3.Signal processing tasks
  • 1.3.1.Source coding
  • 1.3.2.Multiplexing
  • 1.3.3.Channel coding
  • 1.3.4.Line coding
  • 1.3.5.Carrier modulation
  • 1.3.6.Spread spectrum
  • 1.3.7.Synchronisation
  • 1.3.8.Filtering operations
  • 1.4.Why digital communication?
  • 1.4.1.The digital revolution
  • 1.4.2.Advantages of digital over analogue communication
  • 1.4.3.Disadvantages of digital communication
  • 1.5.Summary
  • 2.Linear channels and systems
  • In Chapter Two
  • 2.1.Introduction
  • 2.2.Linearity and system classifications
  • 2.3.Time-domain characterisation of LTI systems
  • 2.4.Frequency-domain characterisation of LTI systems
  • 2.5.Output spectral density of LTI systems
  • 2.6.LTI system bandwidth
  • 2.6.1.3-dB and null-bandwidths
  • 2.6.2.Noise-equivalent bandwidth
  • 2.7.Distortionless transmission
  • 2.8.Multipath distortion
  • 2.9.Terrestrial mobile radio channel
  • 2.10.Summary
  • 2.11.References
  • 3.Non-linear systems
  • In Chapter Three
  • 3.1.Introduction
  • 3.2.Memoryless non-linear systems
  • 3.3.Non-linear systems with memory
  • 3.4.Simulation of non-linear systems
  • 3.5.Intermodulation distortion
  • 3.6.Summary
  • 3.7.Reference
  • 4.Sampling of base band and band pass signals
  • In Chapter Four
  • 4.1.Introduction
  • 4.2.The sampling concept and theorem
  • 4.3.Sampling a sinusoidal signal
  • 4.4.Base band signal sampling and alias distortion
  • 4.5.Band pass signal sampling
  • 4.6.Mathematical basis of sampling
  • 4.7.Non-instantaneous sampling and aperture effect
  • 4.8.Anti-alias filter
  • 4.9.Summary
  • 4.10.Reference
  • 5.Quantisation and PCM
  • In Chapter Five
  • 5.1.Introduction
  • 5.2.Concept and classes of quantisation
  • 5.3.Uniform quantisation
  • 5.3.1.Quantisation design parameters and trade-offs
  • 5.3.2.Shortcomings of uniform quantisation
  • 5.4.Non-uniform quantisation
  • 5.4.1.Ideal log-companding
  • 5.4.2.A-law companding
  • 5.4.3.μ-Law companding
  • 5.4.4.Specification of companding
  • 5.4.5.Companding gain and penalty
  • 5.5.PCM
  • 5.5.1.A-law and μ-law PCM
  • 5.5.2.SQNR of A-law and μ-law PCM
  • 5.6.Lossy compression
  • 5.6.1.Waveform coders
  • 5.6.2.Vocoder
  • 5.6.3.Hybrid coder
  • 5.7.Summary
  • 5.8.References
  • 6.Source coding and lossless data compression
  • In Chapter Six
  • 6.1.Introduction
  • 6.2.Classes and features of data compression
  • 6.3.Information content and entropy
  • 6.4.Prefix and non-prefix variable-length codes
  • 6.4.1.Source coding theorem and code efficiency
  • 6.4.2.The code space concept
  • 6.5.Huffman coding
  • 6.5.1.Encoding process
  • 6.5.2.Decoding process
  • 6.5.3.Weaknesses of Huffman coding
  • 6.6.Lempel-Ziv coding
  • 6.6.1.Run-length encoding (RLE)
  • 6.6.2.Lempel-Ziv encoding process
  • 6.6.3.Lempel-Ziv decoding process
  • 6.6.4.Strengths and drawbacks of Lempel-Ziv
  • 6.7.Arithmetic coding
  • 6.7.1.Arithmetic encoding process
  • 6.7.2.Arithmetic decoding
  • 6.7.3.Arithmetic precision issue
  • 6.7.4.Adaptive model
  • 6.7.5.Weaknesses of arithmetic coding
  • 6.8.Summary
  • 6.9.References
  • 7.Line codes
  • In Chapter Seven
  • 7.1.Introduction
  • 7.2.Classes and efficiency of line codes
  • 7.3.Power spectral density of line codes
  • 7.3.1.Autocorrelation and spectral density
  • 7.3.2.PSD of random binary waveforms
  • 7.3.3.PSD of general line code waveforms
  • 7.4.Basic line codes
  • 7.4.1.Nonreturn to zero (NRZ) line codes
  • 7.4.2.Return to zero (RZ) line codes
  • 7.4.3.Biphase line codes
  • 7.5.Advanced codes
  • 7.5.1.Run length limited (RLL) line codes
  • 7.5.2.Block line codes
  • 7.6.Summary
  • 7.7.Reference
  • 8.Transmission through band limited AWGN channels
  • In Chapter Eight
  • 8.1.Introduction
  • 8.2.ISI and bandwidth constraint on symbol rate
  • 8.2.1.Nyquist filtering
  • 8.2.2.Raised cosine filtering
  • 8.2.3.Square root raised cosine filtering
  • 8.2.4.Duobinary signalling
  • 8.3.Noise constraint on bit rate
  • 8.3.1.Characterisation of a discrete memoryless channel
  • 8.3.2.Mutual information and channel capacity
  • 8.3.3.Channel coding theorem and information capacity law
  • 8.4.The matched filter
  • 8.4.1.Heuristic approach
  • 8.4.2.Mathematical basis
  • 8.4.3.Matched filter as a correlator
  • 8.5.Eye diagram
  • 8.6.Summary
  • 8.7.References
  • 9.Transmitted digital signals
  • In Chapter Nine
  • 9.1.Introduction
  • 9.2.Geometric representation of signals
  • 9.2.1.Orthogonality of signals
  • 9.2.2.Signal space
  • 9.3.Symbols in digital transmission systems
  • 9.3.1.Base band systems
  • 9.3.2.Modulated systems
  • 9.4.Complex representation of signals
  • 9.4.1.The Hilbert transform
  • 9.4.2.Canonical and envelope representations
  • 9.4.3.Application to noise
  • 9.5.Signal correlation
  • 9.5.1.Correlation of M-ary ASK symbols
  • 9.5.2.Correlation of M-ary PSK symbols
  • 9.5.3.Correlation of M-ary FSK symbols
  • 9.5.4.Impact of symbol correlation
  • 9.6.Coherent detection
  • 9.6.1.Correlation receiver
  • 9.6.2.Noise rejection in M-ary FSK
  • 9.7.Digital modulators
  • 9.7.1.M-ary ASK modulator
  • 9.7.2.M-ary PSK modulator
  • 9.7.3.M-ary QAM modulator
  • 9.7.4.M-ary FSK modulator
  • 9.8.Summary
  • 9.9.References
  • 10.Noise impact in digital transmission
  • In Chapter Ten
  • 10.1.Introduction
  • 10.2.Random signals
  • 10.2.1.Random process
  • 10.2.2.Random signal parameters
  • 10.2.3.Stationarity and ergodicity
  • 10.2.4.Additive white Gaussian noise
  • 10.3.System noise quantification
  • 10.3.1.Noise temperature and noise factor
  • 10.3.2.Overall system noise temperature
  • 10.3.3.Carrier-to-noise ratio
  • 10.4.Basic analysis of noise impact
  • 10.5.BER of binary transmission systems
  • 10.5.1.PSK and bipolar base band
  • 10.5.2.ASK and unipolar base band
  • 10.5.3.FSK
  • 10.5.4.Identical symbols
  • 10.6.BER of M-ary transmission systems
  • 10.6.1.Gray coding and BER
  • 10.6.2.M-ary ASK
  • 10.6.3.M-ary PSK
  • 10.6.4.M-ary QAM
  • 10.6.5.M-ary FSK
  • 10.7.Summary
  • 10.8.Reference
  • 11.Error control coding
  • In Chapter Eleven
  • 11.1.Introduction
  • 11.2.General terminologies and classes
  • 11.3.ARQ techniques
  • 11.3.1.Stop and wait ARQ
  • 11.3.2.Go-back-N ARQ
  • 11.3.3.Continuous ARQ with selective repeat
  • 11.3.4.Sliding window flow control
  • 11.4.Effectiveness of error control codes
  • 11.4.1.Error detection
  • 1.4.2.Error correction
  • 11.4.3.Interleaving and concatenation
  • 1.5.Linear block codes
  • 11.5.1.General concepts
  • 11.5.2.Cyclic codes
  • 11.5.3.Reed-Solomon code
  • 11.6.Summary
  • 11.7.Reference
  • 12.Digital transmission link analysis and design
  • In Chapter Twelve
  • 12.1.Introduction
  • 12.2.Link analysis
  • 12.3.Link design