Telecommunications Breakdown Concepts of Communication Transmitted via Software-Defined Radio

ISBN-10: 0131430475

ISBN-13: 9780131430471

Edition: 2004

List price: $79.20
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Book details

List price: $79.20
Copyright year: 2004
Publisher: Prentice Hall PTR
Publication date: 9/2/2003
Binding: Mixed Media
Pages: 400
Size: 7.50" wide x 9.00" long x 0.75" tall
Weight: 1.430

William A. Sethares is a Professor in the Department of Electrical and Computer Engineering at the University of Wisconsin, Madison. He is the author of Rhythm and Transforms (2007) and Tuning, Timbre, Spectrum, Scale (2005).

To the Instructor
When Is a Digital Radio Like an Onion?
A Digital Radio
A Digital Radio
An Illustrative Design
The Complete Onion
The Component Architecture Layer
A Telecommunication System
Electromagnetic Transmission of Analog Waveforms
Upconversion at the Transmitter
Frequency Division Multiplexing
Filters that Remove Frequencies
Analog Downconversion
Analog Core of Digital Communication System
Sampling at the Receiver
Digital Communications Around an Analog Core
Pulse Shaping
Decisions and Error Measures
Coding and Decoding
A Telecommunication System
For Further Reading
The Five Elements
Finding the Spectrum of a Signal
The First Element: Oscillators
The Second Element: Linear Filters
The Third Element: Samplers
The Fourth Element: Static Nonlinearities
The Fifth Element: Adaptation
For Further Reading
The Idealized System Layer
Modelling Corruption
When Bad Things Happen to Good Signals
Linear Systems: Linear Filters
The Delta "Function"
Convolution in Time: It's What Linear Systems Do
Convolution <=> Multiplication
Improving SNR
For Further Reading
Analog (De)modulation
Amplitude Modulation with Large Carrier
Amplitude Modulation with Suppressed Carrier
Quadrature Modulation
Injection to Intermediate Frequency
For Further Reading
Sampling with Automatic Gain Control
Sampling and Aliasing
Downconversion via Sampling
Exploring Sampling in MATLAB
Interpolation and Reconstruction
Iteration and Optimization
An Example of Optimization: Polynomial Minimization
Automatic Gain Control
Using an AGC to Combat Fading
For Further Reading
Digital Filtering and The DFT
Discrete Time and Discrete Frequency
Practical Filtering
For Further Reading
Bits to Symbols to Signals
Bits to Symbols
Symbols to Signals
Receive Filtering: From Signals to Symbols
Frame Synchronization: From Symbols to Bits
Stuff Happens
An Ideal Digital Communication System
Simulating the Ideal System
Flat Fading: A Simple Impairment and a Simple Fix
Other Impairments: More "What Ifs"
The Adaptive Component Layer
Carrier Recovery
Phase and Frequency Estimation via an FFT
Squared Difference Loop
The Phase Locked Loop
The Costas Loop
Decision-Directed Phase Tracking
Frequency Tracking
For Further Reading
Pulse Shaping and Receive Filtering
Spectrum of the Pulse: Spectrum of the Signal
Intersymbol Interference
Eye Diagrams
Nyquist Pulses
Matched Filtering
Matched Transmit and Receive Filters
Timing Recovery
The Problem of Timing Recovery
An Example
Decision-Directed Timing Recovery
Timing Recovery via Output Power Maximization
Two Examples
For Further Reading
Linear Equalization
Multipath Interference
Trained Least-Squares Linear Equalization
An Adaptive Approach to Trained Equalization
Decision-Directed Linear Equalization
Dispersion-Minimizing Linear Equalization
Examples and Observations
For Further Reading
What is Information?
Channel Capacity
Source Coding
Channel Coding
Encoding a Compact Disc
For Further Reading
The Integration Layer
Mix'n'match Receiver Design
How the Received Signal Is Constructed
A Design Methodology for the M[superscript 6] Receiver
The M[superscript 6] Receiver Design Challenge
For Further Reading
Transforms, Identities, and Formulas
Trigonometric Identities
Fourier Transforms and Properties
Energy and Power
Z-Transforms and Properties
Integral and Derivative Formulas
Matrix Algebra
Simulating Noise
Envelope of a Bandpass Signal
Relating the Fourier Transform to the DFT
The Fourier Transform and Its Inverse
The DFT and the Fourier Transform
Power Spectral Density
Relating Difference Equations to Frequency Response and Intersymbol Interference
Sketching the Frequency Response from the Z-Transform
Measuring Intersymbol Interference
Averages and Averaging
Averages and Filters
Derivatives and Filters
Differentiation Is a Technique, Approximation Is an Art
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