Lathi's trademark user-friendly and highly readable text presents a complete and modern treatment of communication systems. It begins by introducing students to the basics of communication systems without using probabilistic theory. Only after a solid knowledge base--an understanding of how communication systems work--has been built are concepts requiring probability theory covered. This third edition has been thoroughly updated and revised to include expanded coverage of digital communications. New topics discussed include spread-spectrum systems, cellular communication systems, global positioning systems (GPS), and an entire chapter on emerging digital technologies (such as SONET, ISDN, BISDN, ATM, and video compression).

Ideal for the first communication systems course for electrical engineers, Modern Digital and Analog Communication Systems offers students a superb pedagogical style; it consistently does an excellent job of explaining difficult concepts clearly, using prose as well as mathematics. The author makes every effort to give intuitive insights--rather than just proofs--as well as heuristic explanations of theoretical results wherever possible. Featuring lucid explanations, well-chosen examples clarifying abstract mathematical results, and excellent illustrations, this unique text is highly informative and easily accessible to students.

Praise for the previous edition:

"A wise and witty analysis of the process of self-confrontation and growth through writing."--Harvard Educational Review

1. INTRODUCTION

1.1. Communication Systems

1.2. Analog and Digital Messages

1.3. Signal-to-Noise Ratio, the Channel Bandwidth, and the Rate of Communication

1.4. Modulation

1.5. Randomness, Redundancy, and Coding

2. INTRODUCTION TO SIGNALS

2.1. Size of a Signal

2.2. Classification of Signals

2.3. Some Useful Signal Operations

2.4. Unit Impulse Function

2.5. Signals and Vectors

2.6. Signal Comparison: Correlation

2.7. Signal Representation by Orthogonal Signal Set

2.8. Trigonometric Fourier Series

2.9. Exponential Fourier Series

2.10. Numerical Computation of Dn

3. ANALYSIS AND TRANSMISSION OF SIGNALS

3.1. Aperiodic Signal Representatin by Fourier Integral

3.2. Transforms of Some Useful Functions

3.3. Some Properties of the Fourier Transform

3.4. Signal Transmission through a Linear System

3.5. Ideal and Practical Filters

3.6. Signal Distortion over a Communication Channel

3.7. Signal Energy and Energy Spectral Density

3.8. Signal Power and Power Spectral Density

3.9 Numerical Computation of the Fourier Transform: The DFT.

4. AMPLITUDE (LINEAR) MODULATION

4.1. Baseband and Carrier Communication

4.2. Amplitude Modulation: Double Standard (DSB)

4.3. Amplitude Moudulation (AM)

4.4. Quadrature Amplitude Modulation (QAM)

4.5. Amplitude Modulation: Single Sideband (SSB)

4.6. Amplitude Modulation: Vestigial Sideband (VSB)

4.7. Carrier Acquisition

4.8. Superheterodyne AM Receiver

4.9. Television

5. ANGLE (EXPONENTIAL) MODULATION

5.1. Concept of Instantaneous Frequency

5.2. Bandwidth of Angle-Modulated Wave

5.3. Generation of FM Waves

5.4. Demodulation of FM

5.5. Interference in Angle-Modulated Systems

5.6. FM Receiver

6. SAMPLING AND THE PULSE CODE MODULATION

6.1. Sampling Theorem

6.2. Pulse-Code Modulation

6.3. Differential Pulse Code Modulation (DPCM)

6.4. Delta Modulation

7. PRINCIPLES OF DIGITAL DATA TRANSMISSION

7.1. A Digital Communication System

7.2. Line Coding

7.3. Pulse Shaping

7.4. Scrambling

7.5. Regenerative Repeater

7.6. Detection-Error Probability

7.7. M-ary Communication

7.8. Digital Carrier Systems

7.9. Digital Multiplexing

8. EMERGING DIGITAL COMMUNICATION TECHNOLOGIES

8.1. The North American Hierarchy

8.2. Digital Services

8.3. Broadband Digital Communication: SONET

8.4. Digital Switching Technologies

8.5. Broadband Services for Entertainment and Home Office Applications

8.6. Video Compression

8.7. High Definition Television (HDTV)

9. SOME RECENT DEVELOPMENTS AND MISCELLANEOUS TOPICS

9.1. Cellular Telephone (Mobile Radio) System

9.2. Spread Spectrum Systems

9.3. Transmission Media

9.4. Hybrid Circuit: 2-Wire to 4-Wire Conversion

9.5. Public Switched Telephone Network

10. INTRODUCTION TO THEORY OF PROBABILITY

10.1. Concept of Probability

10.2. Random Variables

10.3. Statistical Average (Means)

10.4. Central Limit Theorem

10.5. Correlation

10.6. Linear Mean Square Estimation

11. RANDOM PROCESSES

11.1. From Random Variable to Random Process

11.2. Power Spectral Density of a Random Process

11.3. Multiple Random Processes

11.4. Transmission of Random Processes through Linear Systems

11.5. Bandpass Random Processes

11.6. Optimum Filtering: Wiener-Hopf Filter

12. BEHAVIOR OF ANALOG SYSTEMS IN THE PRESENCE OF NOISE

12.1. Baseband Systems

12.2. Amplitude-Modulated Systems

12.3. Angle-Modulated Systems

12.4. Pulse-Modulated Systems

12.5. Optimum Preemphasis-Deemphasis Systems

13. BEHAVIOR OF DIGITAL COMMUNICATION SYSTEMS IN THE PRESENCE OF NOISE

13.1. Optimum Threshold Detection

13.2. General Analysis: Optimum Binary Receiver

13.3. Carrier Systems: ASK, FSK, PSK, and DPSK

13.4. Performance of Spread Speactrum Systems

13.5. M-ary Communication

13.6. Synchronization

14. OPTIMUM SIGNAL DETECTION

14.1. Geometrical Representation of Signals: Signal Space

14.2. Gaussian Random Process

14.3. Optimum Receiver

14.4. Equivalent Signal Sets

14.5. Nonwhite (Colored) Channel Noise

14.6. Other Useful Performance Criteria

15. INTRODUCTION TO INFORMATION THEORY

15.1. Measure of Information

15.2. Source Encoding

15.3. Error-Free Communication over a Noisy Channel

15.4. Channel Capacity of a Discrete Memoriless Channel

15.5. Channel Capacity of a Continuous Channel

15.6. Practical Communication Systems in Light of Shannon's Equation

16. ERROR CORRECTING CODES

16.1. Introduction

16.2. Linear Block Codes

16.3. Cyclic Codes

16.4. Burst-Error-Detecting and Correcting Codes

16.5. Interlaced Codes for Burst-and Random-Error Correction

16.6. Convolutional Codes

16.7. Comparison of Coded and Uncoded Systems

Appendices

A. Orthogonality of Some Signal Sets

B. Schwarz Inequality

C. Gram-Schmidt Orthogonalization of a Vector Set

D. Miscellaneous

Index