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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| Format: | Book |
| Language: | English |
| Published: |
London, UK
The Institution of Engineering and Technology
2014
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| 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


