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Signal Processing and Integrated Circuits

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ISBN-10: 0470710268

ISBN-13: 9780470710265

Edition: 2012

Authors: Hussein Baher

List price: $61.95
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Description:

Unusual in combining analog and digital signal processing, this essential text offers a recap of introductory issues, before addressing advanced level topics in signal processing; this textbook brings together the entire area of signal processing as it is taught in postgraduate curricula. A large number of solved examples are included throughout, as well as unsolved problems at the end of each chapter; answers to some of these are provided at the back of the book. These problems constitute both analytical exercises, and computer–based problems involving software such as MATLAB.Takes a computational approach, using examples and MATLAB throughout, to help readers understand the mathematical complexities of signal processing.Recognizes the importance of understanding the early analog signals and techniques in the study of modern digital signal processing.Contains 4 new chapters focused around applications, showing the importance of signal processing techniques for industry, including semiconductor, telecom, and audio/video.New edition includes an increased focus on discrete–time signal processing.Companion website containing key diagrams and equations for use by course instructors.
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Book details

List price: $61.95
Copyright year: 2012
Publisher: John Wiley & Sons, Limited
Publication date: 4/10/2012
Binding: Hardcover
Pages: 472
Size: 7.00" wide x 10.00" long x 1.25" tall
Weight: 1.848
Language: English

About the Author
Preface
Perspective
Analog, Digital and Mixed-mode Signal Processing
Digital Signal Processing
Moore's Law and the "Cleverness" Factor
System on a Chip
Analog and Mixed-mode Signal Processing
Scope
Analog (Continuous-Time) And Digital Signal Processing
Analog Continuous-time Signals and Systems
Introduction
The Fourier Series in Signal Analysis and Function Approximation
Definitions
The Time and Discrete Frequency Domains
Convolution
Parseval's Theorem and Power Spectrum
The Gibbs' Phenomenon
Window Functions
The Fourier Transformation and Generalized Signals
Definitions and Properties
Parseval's Theorem and Energy Spectra
Correlation Functions
The Unit Impulse and Generalized Signals
The Impulse Response and System Function
Periodic Signals
The Uncertainty Principle
The Laplace Transform and Analog Systems
The Complex Frequency
Properties of the Laplace Transform
The System Function
Elementary Signal Processing Building Blocks
Realization of the Elementary Building Blocks using Operational Amplifier Circuits
Realization of Analog System Functions
General Principles and the Use of Op Amp Circuits
Realization Using OTAs and Gm - C Circuits
Conclusion
Problems
Design of Analog Filters
Introduction
Ideal Filters
Amplitude-oriented Design
Maximally Flat Response in both Pass-band and Stop-band
Chebyshev Response
Elliptic Function Response
Frequency Transformations
Low-pass to Low-pass Transformation
Low-pass to High-pass Transformation
Low-pass to Band-pass Transformation
Low-pass to Band-stop Transformation
Examples
Phase-oriented Design
Phase and Delay Functions
Maximally Flat Delay Response
Passive Filters
Active Filters
Use of MATLAB� for the Design of Analog Filters
Butterworth Filters
Chebyshev Filters
Elliptic Filters
Bessel Filters
Examples of the use of MATLAB�
A Comprehensive Application: Pulse Shaping for Data Transmission
Conclusion
Problems
Discrete Signals and Systems
Introduction
Digitization of Analog Signals
Sampling
Quantization and Encoding
Discrete Signals and Systems
Digital Filters
Conclusion
Problems
Design of Digital Filters
Introduction
General Considerations
Amplitude-oriented Design of IIR Filters
Low-pass Filters
High-pass Filters
Band-pass Filters
Band-stop Filters
Phase-oriented Design of IIR Filters
General Considerations
Maximally Flat Group-delay Response
FIR Filters
The Exact Linear Phase Property
Fourier-coefficient Filter Design
Monotonic Amplitude Response with the Optimum Number of Constraints
Optimum Equiripple Response in both Passband and Stopband
Comparison Between IIR and FIR Filters
Use of MATLAB� for the Design of Digital Filters
Butterworth IIR Filters
Chebyshev IIR Filters
Elliptic IIR Filters
Realization of the Filter
Linear Phase FIR Filters
A Comprehensive Application: Pulse Shaping for Data Transmission
Optimal Design
Use of MATLAB� for the Design of Data Transmission Filters
Conclusion
Problems
The Fast Fourier Transform and its Applications
Introduction
Periodic Signals
Non-periodic Signals
The Discrete Fourier Transform
The Fast Fourier Transform Algorithms
Decimation-in-time Fast Fourier Transform
Decimation-in-frequency Fast Fourier Transform
Radix 4 Fast Fourier Transform
Properties of the Discrete Fourier Transform
Linearity
Circular Convolution
Shifting
Symmetry and Conjugate Pairs
Parseval's Relation and Power Spectrum
Circular Correlation
Relation to the z -transform
Spectral Analysis Using the FFT
Evaluation of the Fourier Integral
Evaluation of the Fourier Coefficients
Spectral Windows
Continuous-time Signals
Discrete-time Signals
Fast Convolution, Filtering and Correlation Using the FFT
Circular (Periodic) Convolution
Non-periodic Convolution
Filtering and Sectioned Convolution
Fast Correlation
Use of MATLAB�
Conclusion
Problems
Stochastic Signals and Power Spectra
Introduction
Random Variables
Probability Distribution Function
Probability Density Function
Joint Distributions
Statistical Parameters
Analog Stochastic Processes
Statistics of Stochastic Processes
Stationary Processes
Time Averages
Ergodicity
Power Spectra of Stochastic Signals
Signals through Linear Systems
Discrete-time Stochastic Processes
Statistical Parameters
Stationary Processes
Power Spectrum Estimation
Continuous-time Signals
Discrete-time Signals
Conclusion
Problems
Finite Word-length Effects in Digital Signal Processors
Introduction
Input Signal Quantization Errors
Coefficient Quantization Effects
Effect of Round-off Accumulation
Round-off Accumulation without Coefficient Quantization
Round-off Accumulation with Coefficient Quantization
Auto-oscillations: Overflow and Limit Cycles
Overflow Oscillations
Limit Cycles and the Dead-band Effect
Conclusion
Problems
Linear Estimation, System Modelling and Adaptive Filters
Introduction
Mean-square Approximation
Analog Signals
Discrete Signals
Linear Estimation, Modelling and Optimum Filters
Optimum Minimum Mean-square Error Analog Estimation
Smoothing by Non-causal Wiener Filters
Causal Wiener Filters
The Matched Filter
Discrete-time Linear Estimation
Non-recursive Wiener Filtering
Adaptive Filtering Using the Minimum Mean Square Error Gradient Algorithm
The Least Mean Square Error Gradient Algorithm
Adaptive IIR Filtering and System Modelling
An Application of Adaptive Filters: Echo Cancellers for Satellite Transmission of Speech Signals
Conclusion
Analog Mos Integrated Circuits For Signal Processing
MOS Transistor Operation and Integrated Circuit Fabrication
Introduction
The MOS Transistor
Operation
The Transconductance
Channel Length Modulation
PMOS Transistors and CMOS Circuits
The Depletion-type MOSFET
Integrated Circuit Fabrication
Wafer Preparation
Diffusion and Ion Implantation
Oxidation
Photolithography
Chemical Vapour Deposition
Metallization
MOSFET Processing Steps
Layout and Area Considerations for IC MOSFETs
Noise In MOSFETs
Shot Noise
Thermal Noise
Flicker (1/f) Noise
Modelling of Noise
Problems
Basic Integrated Circuits Building Blocks
Introduction
MOS Active Resistors and Load Devices
MOS Amplifiers
NMOS Amplifier with Enhancement Load
Effect of the Substrate
NMOS Amplifier with Depletion Load
The Source Follower
High Frequency Considerations
Parasitic Capacitances
The Cascode Amplifier
The Current Mirror
The CMOS Amplifier
Conclusion
Problems
Two-stage CMOS Operational Amplifiers
Introduction
Op Amp Performance Parameters
Feedback Amplifier Fundamentals
The CMOS Differential Amplifier
The Two-stage CMOS Op Amp
The dc Voltage Gain
The Frequency Response
The Nulling Resistor
The Slew Rate and Settling Time
The Input Common-mode Range and CMRR
Summary of the Two-stage CMOS Op Amp Design Calculations
A Complete Design Example
Practical Considerations and Other Non-ideal Effects in Operational Amplifier Design
Power Supply Rejection
dc Offset Voltage
Noise Performance
Conclusion
Problems
High Performance CMOS Operational Amplifiers and Operational Transconductance Amplifiers
Introduction
Cascode CMOS Op Amps
The Folded Cascode Op Amp
Low-noise Operational Amplifiers
Low-noise Design by Control of Device Geometries
Noise Reduction by Correlated Double Sampling
Chopper-stabilized Operational Amplifiers
High-frequency Operational Amplifiers
Settling Time Considerations
Fully Differential Balanced Topology
Operational Transconductance Amplifiers
Conclusion
Problems
Capacitors, Switches and the Occasional Passive Resistor
Introduction
MOS Capacitors
Capacitor Structures
Parasitic Capacitances
Capacitor-ratio Errors
The MOS Switch
A Simple Switch
Clock Feed-through
The CMOS Switch: Transmission Gate
MOS Passive Resistors
Conclusion
Switched-Capacitor And Mixed-Mode Signal Processing
Design of Microelectronic Switched-capacitor Filters
Introduction
Sampled and Held Signals
Amplitude-oriented Filters of the Lossless Discrete Integrator Type
The State-variable Ladder Filter
Strays-insensitive LDI Ladders
An Approximate Design Technique
Filters Derived from Passive Lumped Prototypes
Cascade Design
Applications in Telecommunications: Speech Codecs and Data Modems
CODECs
Data Modems
Conclusion
Problems
Non-ideal Effects and Practical Considerations in Microelectronic Switched-capacitor Filters
Introduction
Effect of Finite Op Amp Gain
Effect of Finite Bandwidth and Slew Rate of Op Amps
Effect of Finite Op Amp Output Resistance
Scaling for Maximum Dynamic Range
Scaling for Minimum Capacitance
Fully Differential Balanced Designs
More on Parasitic Capacitances and Switch Noise
Pre-filtering and Post-filtering Requirements
Programmable Filters
Layout Considerations
Conclusion
Integrated Sigma-Delta Data Converters: Extension and Comprehensive Application of Analog and Digital Signal Processing
Motivation and General Considerations
The First-order Converter
The Second-order Converter
Decimation and Digital Filtering
Principles
Decimator Structures
Simulation and Performance Evaluation
A Case Study: Fourth-order Converter
Conclusion
Answers to Selected
Problems
References
Index