Autorentext

SHANTHI PAVAN is a Professor of Electrical Engineering at the Indian Institute of Technology-Madras. A fellow of the Indian National Academy of Engineering (INAE), the Indian National Science Academy (INSA), and IEEE, he has co-authored numerous works, including Understanding Delta-Sigma Data Converters, 2nd Edition (2016, Wiley-IEEE Press). His research focuses on high-performance analog circuit design and data converters.

GABOR C. TEMES, PhD, is a Professor at Oregon State University. He is a Member of the US National Academy of Engineering, a Fellow of the US National Academy of Inventors, and a Member of the European Academy of Sciences and Arts. He has co-authored numerous books and papers, including Incremental Data Converters for Sensor Interfaces (2023, Wiley-IEEE Press). His expertise spans analog integrated circuits, data converters, and mixed-signal design methodologies.

Klappentext

Provides a solid foundation for analog, mixed-signal, and RF circuit design theory and practical application The practice of analog, mixed-signal, and radio frequency (RF) circuit design demands a firm grasp of both theoretical principles and their practical implications. Circuit Analysis for Analog, Mixed-Signal and RF Designers offers engineers and students a comprehensive, unified resource grounded in circuit theory that reflects the realities of modern design. Rather than giving only cursory attention to mathematical underpinnings, this book provides extensive coverage of the analytical tools and methods essential to designing reliable and innovative circuits. With clarity and rigor, authors Shanthi Pavan and Gabor C. Temes illuminate the intuition behind a circuit designer's core tools - combining theory with real-world applications to equip engineers with both the analytical framework and the practical judgment to apply it effectively. Topics covered include:

• Analysis and synthesis of linear circuits
• Noise analysis and calculations in electronic circuits
• Weak nonlinearities in electronic circuits
• Distributed circuits and the scattering matrix
• Linear time-varying circuits and systems, developed from first principles
• Fundamentals of continuous-time filters
• Switched-capacitor circuits, developed from first principles Circuit Analysis for Analog, Mixed-Signal and RF Designers is ideal for graduate-level courses in analog, mixed-signal, and RF circuit design within electrical and computer engineering programs. It is also a critical reference for practicing circuit designers and engineers looking for deeper theoretical insight into their daily design work.

Inhalt

1 Introduction and Basic Concepts 1
1.1 Classification of Circuits 2
1.2 Circuit Components 5
1.3 Kirchhoff's Laws and the Incidence Matrix 8
1.4 Tellegen's Theorem 11
1.5 The Incremental Network and Small-Signal Analysis 14
1.6 Solving Linear Networks using Modified Nodal Analysis 16
1.7 Bilinear Form of a Transfer Function, and the Extra-Element Theorem 32
1.8 Transposed MNA Stamps 37
1.9 Reciprocity and Inter-Reciprocity 40
1.10 Why are Reciprocity and Interreciprocity Useful? 46
1.11 Transfer-Function Sensitivity 50

2 Noise in Linear Time-Invariant Networks 65
2.1 Noise in Network Components 66
2.2 Multiple Noise Sources 73
2.3 Equivalent Noise of a One Port 74
2.4 Total Integrated Noise in RLC Networks 76
2.5 Equivalent Noise Sources in a Two-Port Network 85
2.6 Noise with Impedance Scaling and Differential Operation 92
2.7 The Noise Factor of a Two Port 95
2.8 Example Noise-Factor Calculations 96

3 Weak Nonlinearities in Circuits 111
3.1 Third-Order Nonlinearity 119
3.2 DC Transfer-Curve Derivatives: A Quick Nonlinearity Diagnostic 126
3.3 The Method of Current Injection 128

4 Introduction to Distributed Circuits 163
4.1 The Transmission Line 164
4.2 Transmission-Line Circuit Analysis 167
4.3 The Uniformly Distributed RC Line 179
4.4 Scattering Parameters and the Scattering Matrix 183
4.5 Some Properties of Scattering Matrices 191
4.6 Measuring S-Parameters: The Vector Network Analyzer 193

5 Basics of Linear Time-Varying Circuits and Systems 205
5.1 Motivation 205
5.2 Linearity and Time (In)variance 212
5.3 Linear Time-Varying Systems 213
5.4 Linear Periodically Time-Varying (LPTV) Systems 218
5.5 Calculating Harmonic Transfer Functions 226
5.6 Impedance and Admittance in LPTV Circuits 246
5.7 Thevenin- and Norton-Equivalent Circuits 249
5.8 The N-Path Principle 250

6 LPTV Circuits and Systems: Advanced Topics 271
6.1 Reciprocity and Inter-Reciprocity 271
6.2 A Chopped Amplifier as an LPTV System 294
6.3 Time Domain Implications of Reciprocity and Inter-reciprocity 299
6.4 LPTV Systems With Sampled Outputs 305
6.5 LPTV Systems Driven by a Class of Modulated Signals 318
6.6 Noise in LPTV Networks 323
6.7 Application Examples 340

7 Continuous-Time Filters 351
7.1 Magnitude-Approximation Principles 354
7.2 The Maximally Flat (Butterworth) Approximation 357
7.3 The Chebyshev Approximation 366
7.4 Butterworth versus Chebyshev Filters 374
7.5 Realization of Filters 376
7.6 Noise in Opamp-RC Sections 390
7.7 Dynamic-Range Scaling 397
7.8 Fully-Differential Signal Processing, Integrators and Filters 402
7.9 Effect of Opamp Finite Gain-Bandwidth Product 408
7.10 Transconductance-Capacitance Integrators and Filters 419

8 Switched-Capacitor Circuits and Filters 435
8.1 Switched-Capacitor Filters 442
8.2 Switched-Capacitor Filter Stages 451
8.3 Switched-Capacitor Amplifiers 462
8.4 Nonideal Effects in Switched-Capacitor Circuits 465
8.5 Noise in Switched-Capacitor Circuits 480
8.6 The History of Switched-Capacitor Filters 486

Index