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DIGITAL COMMUNICATION SYSTEMS BY SIMON HAYKIN PDF

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Communication systems / Simon Haykinth ed. p. cm. Pe Signals and Systems, which provides Co Modern Digital And Analog Communication Systems 4ed. digital Communication systems c(0) RSC encoder 1 c(1) Input message r(2) Extrinsic information 2 (b) Simon Haykin resourceone.info Page iv Friday. La,2. Lp(z(2)) z(2). Lp(c(2)) r(2). (a). (b). Simon Haykin. DIGITAL of digital communications, with continuous mathematics aimed at the communication channel.


Digital Communication Systems By Simon Haykin Pdf

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Page 1. From the book: Simon Haykin, Digital Communication Systems. Page 2. Simon Haykin, John Wiley & Sons, Inc. Digital Communications – Fundamentals and Applications / Modern Digital and Analog Communication Systems. Digital Communication by simon haykins - Download as PDF File .pdf), Text File Comparision of M-ary PCM with ideal system (Channel Capacity Theorem).

In addition to receiver noise, the interference may include other communications signals or intentional jamming signals. Several satellite systems utilize phased arrays in either the earth terminal or space segment. Other satellite systems use multiple beam antennas MBAs to achieve similar results.

Many of the low earth orbit LEO satellite systems utilize phased arrays. Antenna array processing can provide significant performance in all of these systems and the planned third-generation systems.

The term "smart antennas" come into usage to describe various types of adaptive arrays for wireless systems. The objective is to locate the source of transmitted communication or radar signal. A common approach is to find the direction of arrival DOA of the signal at two separated antenna arrays and locate the source at the intersection of the two lines of bearing.

The estimation of DO As is the central focus of Chapters 8 and 9, and we discuss the problem further at that point. The first area is the detection and location of underground nuclear explosions.

The area received significant attention in the s and s and a number of results that were obtained for that area, such as Capon's minimum variance distortionless response MVDR beamformer, are used in many other areas. The second area is exploration seismology and is the most important at the present time. Justice in Chapter 2 of [Hay85] has a detailed discussion of array processing in exploration seismology, and his chapter has Tomography 11 Figure 1.

Robinson and Treitel in Chapter 7 of [Opp78] also have a good discussion. The objective of the exploration process is to construct an image of the subsurface in which the structure and physical properties are described. As in the sonar case, the propagation characteristics of the acoustic signal in an inhomogeneous elastic medium has a dominant influence on the designs of the system.

A typical seismic experiment is shown in Figure 1. Acoustic energy is transmitted into the earth by a shot and reflected energy is received by a set of geophones arranged in linear array.

Normally the earth is modeled as a stack of homogeneous layers and the array measures reflections from various layers. In the text we encounter various examples of seismic signal processing. The references in Justice [Hay85] provide further discussions of seismic signal processing. Current research is reported in Geophysics and Geophysical Prospecting.

The object is illuminated from a number of different directions and data are collected at a receiving array. We then try to reconstruct the cross-sectional image from the data.

Kak in Chapter 6 of [Hay85] has a good discussion of tomography. Tomography has had great success in the medical diagnosis area.

The processing algorithms used in tomography are different from those that we develop in the text, so we will not discuss them further. The in- 12 1. In Appendix B, we have included a representative list of sources.

The first part consists of Chapters 2, 3, and 4. These three chapters discuss classical array analysis and synthesis techniques. We use the adjective "classical" because the techniques rely primarily on deterministic models and the theory was reasonably mature by the early s.

The techniques are important for two reasons: i These techniques are still widely used in practical array applications.

Chapter 2 introduces the basic definitions and relationships that are used to analyze and synthesize arrays. Our approach is to introduce the concept for an arbitrary array geometry. We then specialize the result to a uniform linear array and then further specialize the result to a uniform linear array with uniform weighting. In Chapter 3, we return to linear arrays and provide a detailed discussion of the analysis and synthesis of linear arrays.

In Chapter 4, we study the analysis and synthesis of planar and volumetric arrays. The second part of the book consists of Chapter 5 and studies the characterization of space-time random processes. We develop second-moment theory for arbitrary processes and a complete characterization for Gaussian random space-time processes. We introduce parametric spatial models and discuss their usage in array processing problems.

The chapter provides the statistical models that will be used in the remainder of the text. The third part of the book consists of Chapters 6 and 7 and studies waveform estimation.

In Chapter 6, we derive optimum beamformers under the 1. We investigate the sensitivity of the optimum beamformers to perturbations in the signal and noise model and the array description. These sensitivity results motivate the development of constrained processors that are more robust to model perturbations. In Chapter 7, we consider the case in which the statistics must be determined from the data. This problem leads us into adaptive beamforming.

We develop various adaptive algorithms and analyze their behavior. The fourth part of the book consists of Chapters 8 and 9. These chapters consider the parameter estimation problem with emphasis on estimating the direction of arrival of incoming plane-wave signals.

We first develop maximum likelihood estimators and compute bounds on the performance of any estimator. We then study a large variety of estimation algorithms and compare their performance to the maximum likelihood estimators and the bounds.

The fifth part of the book consists of Chapter 10 and contains a brief discussion of the optimum detection problem. Chapter 10 also contains a discussion of some of the areas that the book has not covered. There is an appendix that summarizes some of the matrix algebra results that we use in the text. There are problems at the end of each chapter. Throughout the course and the book we emphasize the development of an ability to work problems.

The problems range from routine manipulations to significant extensions of the material in the text. In many cases they are equivalent to journal articles currently being published. Only by working a fair number of them is it possible to appreciate the significance and generality of the results. We assume that the student is experienced with one of these packages. Chapters 1 through 6 can be covered in the first semester.

The common theme in these chapters is that the design is either deterministic or assumes that the necessary statistics are known. Chapters 7 through 10 can be covered in the second semester. The common theme in these chapters is that the algorithms obtain the necessary statistics from the data.

This results in adaptive beamformers, adaptive detectors, and DOA estimators. The first mode is as a stand-alone text.

List of Scilab Codes

By reading the text and doing a representative set of homework problems, one can understand the material. The difficulty with this mode is that we rely on a large number of examples to develop the material. By necessity, many of the examples will choose specific parameter values to demonstrate the point. It would be more desirable to be able to explore a family of parameters.

We anticipate that this second mode will be used by most serious readers and instructors. Bibliography [Alb60] [A] V. Underwater Acoustics Handbook. The theory of arrays antennas with emphasis on radar applications. Technical Report , M.

Lincoln Laboratory, Lexington, Massachusetts, July Space-time processes and optimal array processing.

Radar System Analysis. Blahut, W. Miller, Jr. Radar and Sonar, Part I. Springer-Verlag, New York, Phased array radars.

Brookner, editor. Practical Phased-Array Antenna Systems. Artech House, Boston, Underwater Acoustic System Analysis.

Barton and H. Handbook of Radar Measurement.

PrenticeHall, New Jersey, Cook and M. Academic Press, New York, Christiansen and J. Cambridge University Press, Cambridge, Resolving power and sensitivity to mismatch of optimum array processors. Bibliography 15 [CS62] B. Cron and C. Spatial-correlation functions for various noise models. Statistics of sound propagation in the ocean. Evans and T. Hagfors, editors. Radar Astronomy.

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McGraw-Hill, New York, Evans, J. Johnson, and D. Willey India Edition: Wiley India Edition Year: Reprint Place: Delhi ISBN: Scilab numbering policy used in this document and the relation to the above book.

Exa 3. Sec 2. List of Scilab Codes CF 1. Entropy of Binary Memoryless source. Channel Capacity of a Binary Symmetric Channel. Orthonormal basis for given set of signals.

M ARY Signaling. Matched Filter output for RF pulse. Matched Filter output for Noise-like signal. Linear Predictor of Order one. Bound on Aliasing error for Time-shifted sinc pulse. Exa 5. Exa 6. Generation of bipolar output for duobinary coder. Raised Cosine.

Exa 7. Tab 7. Exa 8. Exa 9. Fig 9. ARC 1 Alaw. ARC 2 auto correlation. PCM Transmission. Hamming Encode.

Communication System by Simon Haykin PDF

PCM Encoding. List of Figures 1. Figure 7. Chapter 1 Introduction Scilab code CF 1. Figure 1. Average length. Scilab code Exa 2.

Simon S. Haykin Digital Communication Systems Wiley ( 2013)

B i n a r y Symmetric Channel 3 clear. Chapter 3 Detection and Estimation Scilab code Exa 3. Communications, by Simon Haykin, 2nd edition. Communication systems and to eventually design. FREE shipping on qualifying offers.

This best-selling, easy to read book offers the. Offers the most complete, up-to-date coverage available. Solution Manual for Communication System, ch. John Wiley Sons. Communication Systems 4th Edition.Lincoln Laboratory, Lexington, Massachusetts, July Space-time processes and optimal array processing. Application of antenna arrays to mobile communications, Part II: Beamforming and direction-of-arrival considerations.

Digital Communication by simon haykins

We also assume some background in matrix theory and linear algebra. Academic Press, New York, McGraw-Hill, New York, Scilab code Exa 5. Communication system by simon haykin pdf No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or.