Signal processing and integrated circuits

Author:

Language: Anglais

Approximative price 78.81 €

In Print (Delivery period: 12 days).

Add to cartAdd to cart
Publication date:
416 p. · Hardback
This book provides a balanced account of analog, digital and mixed-mode signal processing with applications in telecommunications. Part I Perspective gives an overview of the areas of Systems on a Chip (Soc) and mobile communication which are used to demonstrate the complementary relationship between analog and digital systems. Part II Analog (continuous-time) and Digital Signal Processing contains both fundamental and advanced analysis, and design techniques, of analog and digital systems, including analog and digital filter design, FFT algorithms, stochastic signals as well as linear estimation and adaptive filters. Part III Analog MOS Integrated Circuits for Signal Processing covers basic MOS transistor operation and fabrication through to the design of complex integrated circuits such as high performance Op Amps, Operational Transconductance Amplifiers (OTA's) and Gm-C circuits. Part IV Switched-capacitor and Mixed-mode Signal Processing outlines the design of switched-capacitor filters, and concludes with sigma- delta data converters as an extensive application of analog and digital signal processing
  • Contains the fundamentals and advanced techniques of continuous-time and discrete-time signal processing.
  • Presents in detail the design of analog MOS integrated circuits for signal processing, with application to the design of switched-capacitor filters.
  • Uses the comprehensive design of integrated sigma-delta data converters to illustrate and unify the techniques of signal processing.
  • Uses solved examples, end of chapter problems and MATLAB® throughout the book, to help readers understand the mathematical complexities of signal processing.

The treatment is at the senior undergraduate to graduate and professional levels with sufficient junior-level coverage to make the book a self contained reference.

PART I

PERSPECTIVE

1. Analog, Digital and Mixed-mode Signal Processing

1.1 Digital Signal Processing

1.2 Moore's Law and the "Cleverness" Factor

1.3 System on a Chip

1.4 Analog and Mixed-mode Signal Processing

1.5 Scope

PART II

ANALOG (CONTINUOUS-TIME) AND DIGITAL SIGNAL PROCESSING

2. Analog Signals and Systems

2.1 Introduction

2.2 The Fourier Series in Spectral analysis and Function Approximation

2.2.1 Definitions

2.2.2 Signals as Functions of Time

2.2.3 The Time and Discrete Frequency Domains

2.2.4 Parseval's Theorem and Power Spectrum

2.2.5 The Gibbs' Phenomenon

2.2.6 Window Functions

2.3 The Fourier Transformation

2.3.1 Definitions and Properties

2.3.2 Parseval's Theorem and Energy Spectra

2.3.3 Correlation Functions

2.3.4 The Unit Impulse and Generalized Signals

2.3.5 The Impulse Response and System Function

2.3.6 Periodic Signals

2.3.7 The Uncertainty Principle

2.4 The Laplace Transform and Analog Systems

2.4.1 The Complex Frequency

2.4.2 Properties of the Laplace Transform

2.4.3 The System Function

2.5 Elementary Signal Processing Building Blocks

2.6 Realization of Analog System Functions

2.6.1 General Principles and the use of Op Amp Circuits

2.6.2 The Use of Operational Transconductance Amplifiers (OTAs) and Gm-C Circuits

2.7 Conclusion

Problems.

3. Design of Analog Filters

3.1 Introduction

3.2 The Filter Design Problem

3.3 Amplitude-oriented Design

3.3.1 Maximally-flat Amplitude Response in Both bands (Butterworth)

3.3.2 Chebyshev Response

3.3.3 Elliptic Function Response

3.4 Frequency Transformations

3.4.1 Low-pass to Low-pass Transformation

3.4.2 Low-pass to High-pass Transformation

3.4.3 Low-pass to Band-pass transformation

3.4.4 Low-pass to Band-stop Transformation

3.5 Examples

3.6 Phase-oriented Design

3.6.1 Phase and Delay Functions

3.6.2 Maximally-flat Delay Response

3.7 Passive Filters

3.8 Active Filters

3.9 Use of MATLAB® for the Design of Analog Filters

3.9.1 Butterworth Filters

3.9.2 Chebyshev Filters

3.9.3 Elliptic Filters

3.9.4 Bessel Filters

3.10 Examples of the Use of MATLAB®

3.11 A Comprehensive Application: Design of Pulse -shaping Filters for Data Transmission

3.12 Conclusion

Problems

4. Discrete Signals and Systems

4.1 Introduction

4.2 Digitization of Analog Signals

4.2.1 Sampling

4.2.2 Quantization

4.2.3 Encoding

4.3 Discrete Signals and Systems

4.4 Digital Filters

4.5 Conclusion

Problems

5. Design of Digital Filters

5.1 Introduction

5.2 General Considerations

5.3 Amplitude-oriented Design of IIR Filters

5.3.1 Low-pass Filters

5.3.2 High-pass Filters

5.3.3 Band-pass Filters

5.3.4 Band-stop Filters

5.4 Phase-oriented Design of IIR Filters

5.4.1 General Considerations

5.4.2 Maximally Flat group Delay Response

5.5 FIR Filters

5.5.1 The Exact Linear Phase Property

5.5.2 Fourier Coefficient Design

5.5.3 Monotonic Response with the Optimum Constraints

5.5.4 Optimum Equiripple Response in both Bands

5.6 Comparison between IIR and FIR Filters

5.7 Use of MATLAB® for the Design of Digital...