Analog Communication by V. Chandra SekarAnalog Communication by V. Chandra Sekar

Analog Communication

byV. Chandra Sekar

Paperback | June 26, 2010

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Analog Communication has been specially designed for use by the undergraduate students as well as the faculty of electrical, electronics, and communications engineering. It provides an exhaustive coverage on the fundamental concepts and recent developments in communication theory.The book follows a bottom-up approach by buiding up the basic concepts of conventional modulation systems in the initial chapters and describing the latest trend in communications towards the end. It covers, after a brief introduction on the concepts of communication theory, chapters on Amplitudemodulation, Angle modulation, Pulse modulation and also discusses the concept of TDM, FDM, Delta and adaptive Delta modulations. The book also provides a chapter on Digital communication that contains coverage on the concept of FSK, PSK, QAM etc in a brief manner. A separate chapter on "Noise"highlights the different type of Noise encountered in Communication systems and their effect on various types of Modulation.Written in a lucid manner, the book includes a large number of circuit diagrams, worked out examples, important formulae, and graded questions for practice, thereby, enabling the users to have a sound grasp of the concepts presented in the book and their applications.
V. Chandra Sekar is currently working as the Professor and Head of the Department of Electronics and Communication Engineering in SASTRA University at Kumbakonam, Tamil Nadu. He has over 30 years of combined industry and academic experience. While undertaking various projects of RandD in many organizations of repute, like the TIFR, Bo...
Title:Analog CommunicationFormat:PaperbackDimensions:672 pages, 9.84 × 5.91 × 0 inPublished:June 26, 2010Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0198061854

ISBN - 13:9780198061854


Table of Contents

1. Introduction1.1 What is Communication?1.2 Need for Modulation and types1.3 Transmitter1.4 Receiver1.5 Digital communication system1.6 Multiplexing of signals2. Signals2.1 Basic concepts2.2 Classification of Signals2.3 Typical signals and their properties2.4 Classification of Systems2.5 Fourier Series and transforms2.6 The Laplace Transform2.7 The "Z" Transform2.8 Signal energy, Spectral density2.9 Energy spectral Density2.10 Essential Band Width of a signal2.11 Energy of Modulated Signal2.12 Signal power and power spectral density2.13 Summary3. Amplitude Modulation3.1 Base band Communication3.2 Theory of AM, Frequency spectrum for sinusoidal AM3.3 Frequency spectrum of sinusoidal AM3.4 Amplitude Modulation index3.5 Average power for sinusoidal AM3.6 Modulation by several sine waves3.7 Double sideband suppressed carrier3.8 Single sideband Systems3.9 Independent sideband amplitude modulation3.10 SSB and AM- comparison3.11 VSB, QAM3.12 AM Modulators3.13 Balanced Modulators3.14 SSB Generation3.15 Independent sideband transmitter3.16 AM Demodulators3.17 SSB reception3.18 Demodulation of VSB signals3.19 Detection of ISB signals3.20 Transmitters3.21 Trapezoidal patterns3.22 Receivers3.23 Application of different AM systems3.24 Comparison of various AM systems3.25 Costas loop3.26 Summary3.27 Worked out Examples4. Angle Modulation4.1 Introduction4.2 Instantaneous Frequency4.3 FM and PM signals4.4 Modulation index4.5 Bandwidth requirements for Angle Modulated Waves4.6 Sinusoidal FM - Narrowband and wideband4.7 Spectral characteristics of sinusoidal modulated FM signal4.8 Average power in Sinusoidal FM4.9 Deviation ratio for Non Sinusoidal FM4.10 Phase Modulation4.11 Digital Phase Modulation4.12 FM and PM comparison4.13 FM Generation4.14 Phase modulator4.15 FM Detectors4.16 FM Transmitters and Receivers4.17 Phase Locked Loop4.18 Direct Digital Synthesis (DDS)DDS Application - A case studyPLL CASE STUDY - FREQUENCY SYNTHESZERS4.19 Comparison of Angle modulation vs. AM4.20 Summary4.21 Worked out examples5. Pulse Modulation5.1 Introduction5.2 Sampling Theorem5.3 Pulse Amplitude Modulation.5.4 Pulse Width Modulation5.5 Pulse Position modulation5.6 Generation of PAM5.7 Generation of PWM5.8 Generation of PPM5.9 Pulse Code Modulation.5.10 PCM Transmitter and Transmitter5.11 Delta Modulation5.12 Adaptive Delta Modulation5.13 Noise Consideration in PCM system5.14 Frequency Division Multiplexing (FDM) and Time Division Multiplexing5.15 FDM Transmitter5.16 Analog Carrier System5.17 Time Division Multiplexing5.18 Synchronous TDM Transmitter5.19 Synchronous TDM Receiver5.20 TDM Digital Carrier System5.21 Summary6. Noise6.1 Introduction6.2 Uncorrelated Noise6.3 Thermal Noise (Johnson Noise)6.4 Shot Noise6.5 Partition Noise6.6 Flicker noise6.7 Burst Noise6.8 Transit time noise6.9 Avalanche Noise6.10 Transistor Noise6.11 Signal to Noise ratio6.12 Noise figure6.13 Noise temperature6.14 Measurement of Noise factor and temperature6.15 Noise in a Bandpass system6.16 Noise in AM system6.17 Effect of noise on Angle Modulation system6.18 Pre-emphasis and De-emphasis Circuit6.19 Threshold effect in angle modulation.6.20 Mathematical Representation of Noise6.21 Quadrature component of of Noise6.22 Representation of Noise using Orthogonal Representation6.23 Narrowband Noise6.24 FMFB Technique6.25 Summary6.26 Worked out examples7. Introduction to Digital Communication7.1 Introduction7.2 Digital Amplitude modulation7.3 I / Q Modulation7.4 Frequency Shift Keying7.5 Phase Shift Keying7.6 Minimum Shift Keying7.7 Quadrature Amplitude modulation7.8 Bandwidth Efficiency Comparison of Modulation methods7. 9 Digital Modulation Types7.10 Spectral efficiency versus power consumption7.11 Time and Frequency Domain view of Digitally Modulated Signal7.12 Digital Transmitters and Receivers7.13 summaries8. Introduction to Information Theory8.1 Introduction8.2 Measure of Information8.3 Joint and Conditional Entropy8.4 Differential Entropy8.5 The Source Coding Theorem8.6 Data Compaction8.7 Prefix Coding8.8 Shanon Fano Coding8.9 The Huffman source coding Algorithm8.10 The Lempel-Ziv source coding Algorithm8.11 capacity of Gaussian Channel8.12 Discrete memoryless Channel8.13 Modeling of Communication Channel8.14 Channel Capacity8.15 Noise Channel Coding Theorem8.16 Gaussian Channel Capacity8.17 Bounds on Communication8.18 Information capacity of Colored noisy channel8.19 Rate Distortion Theory8.20 Data Compression8.21 Automatic repeat Request8.22 Error free Communication over Noisy channel8.23 Channel capacity of continuous channel8.24 An application of information theory8.25 Summary8.26 Worked out examples9. Introduction to Probability, Random Variable and Random Processes9.1 Introduction to Probability9.2 Elementary Set theory9.3 The Axiomatic approach9.4 Conditional probability9.5 Cumulative distribution function9.6 Gaussian or normal Random variable9.7 Bernoulli Random variable9.8 Binomial Random variable9.9 Poison Random variable9.10 Rayleigh Random variable9.11 Exponential Random variable9.12 Functions of Random variable9.13 Statistical Averages9.14 Multiple function of Multiple random variable9.15 Sums of Random variable9.16 Jointly Gaussian Random variable9.17 Random process9.18 Continuous and Random discrete process9.19 Stationary Random process9.20 First and Second order probabilistic average9.21 Wide sense stationarity9.22 Multiple Random process9.23 Band pass Random processes9.24 Gaussian Random process9.25 Random process through a LTI system9.26 Statistical average9.27 Power spectral density of a stationary process9.28 Power spectra in LTI system9.29 Power spectral density of a sum process9.30 Central limit theorem9.31 Properties of Gaussian process9.32 Summary