### 数学代写|信息论作业代写information theory代考|Preface to the Third Edition

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• Statistical Inference 统计推断
• Statistical Computing 统计计算
• (Generalized) Linear Models 广义线性模型
• Statistical Machine Learning 统计机器学习
• Longitudinal Data Analysis 纵向数据分析
• Foundations of Data Science 数据科学基础

## 数学代写|信息论作业代写information theory代考|Introduction to the Course

The textbook is designed for the students of electrical/electronics engineering and computer science. The primary aim of this book is to arouse the curiosity of the students. This edition is prepared, keeping in mind, the current needs of students and instructors. The revised text is (hopefully) more fascinating-to-read, simple-to-understand, logical-to-follow and motivating-to-design. An attempt has been made to adhere to the original philosophy behind writing this book – it is to be a lively introduction to the topics dealing with Information Theory, Coding and Cryptography.This book is intended for final-year undergraduate students and first-year postgraduate students of the electrical engineering or the computer science programs. The book will help in forming a strong foundation for the broad areas of Information Theory, Coding and Cryptography. It emphasizes on the basic concepts, lays stress on the fundamental principles and motivates their application to practical problems. By design, the mathematical complexity of the book remains at a level well within the grasp of engineering college students. The book can also be used as a quick reference by practicing engineers.The main objectives of the revision are to update the material of the previous edition, to make it easier to teach and to add Learning Objectives in each chapter. Two new chapters have also been added: Chapter 6-Space Time Codes and Chapter 10-Physical Layer Security. In addition to these, several other interesting topics have been included, for example, Relative Entropy, Video Compression Standards, Parallel Gaussian Channels and Capacity region for Multiple Access Channels. While making these modifications, the main aim was to increase the utility-quotient of this book for the students and instructors.

## 数学代写|信息论作业代写information theory代考|Roadmap of Target Courses

This book is ideally suited for a full semester-long course at the post-graduate level. For an advanced undergraduate course, the following topics may be omitted: Relative Entropy, Rate Distortion Function, Channel capacity for MIMO systems, Capacity region for Multiple Access Channels, Bounds on Minimum Distance, Circuit Implementation of Cyclic Codes, Performance of RS codes over real channels, Nested Codes, Quasi-Orthogonal Space Time Block Codes, Turbo decoding, Interleaver Design for Turbo Codes, TCM for Fading Channels, Cooperative Jamming and Artificial Noise Forwarding. Certain portions of this book can also be used for short-term courses, quality-improvement programs and continuing education programs.

The third edition is student-centric, and follows the ‘Learning Objective/Levels of Difficulty (LO/LOD)’ approach. This is an educational process that emphasizes on developing engineering skills in student and testing the outcomes of the study of a course, as opposed to rote learning. Each of the 10 chapters follows a common organizational structure with a range of learning and assessment tools for instructors and students. The feedback received on the second edition has been constructively used to augment the book in different dimensions. Following are the specific improvements over the earlier editions.

## 数学代写|信息论作业代写information theory代考|Organisation of the Book

This edition of the book retains the original flavor. It has been divided into four logical parts which are as follows:

Chapter 0 in the book covers pre-requisites. It gives an introduction to Matrices and Probability Theory by providing important definitions relevant to the topics that have been introduced herein this chapter.
Part I: Information Theory and Source Coding
The first part consists of following two fundamental chapters:
Chapter 1 deals with information and its efficient representation. It introduces the important concepts of Source Coding, Huffman Coding, Shannon-Fano-Elias Coding, Arithmetic Coding, Lempel-Ziv Coding, Run Length Coding and the Rate Distortion Theory. Image and Video Compression techniques are also covered in this chapter.

Chapter 2 deals with Channel Capacity and Coding. The reader is introduced to various types of channel models. Information Capacity Theorem, Gaussian Channels, Channel capacity for MIMO systems, Capacity region for Multiple Access Channels and Random selection of codes are also discussed in detail. This chapter also motivates the need for Error Control Coding, which is covered in Part II.
Part II: Error Control Coding (Channel Coding)
This part consists of the following four interesting chapters:
Chapter 3 introduces the reader to the fascinating world of Linear Block Codes for Error Correction. Encoding and decoding of linear block codes are discussed in detail. Ideas related to Syndrome decoding, Perfect codes, Optimal linear codes and Maximum distance separable (MDS) Codes are presented in the chapter. Hamming Codes and Low Density Parity Check (LDPC) Codes are also discussed.

Chapter 4 deals with Cyclic Codes, a useful sub-class of linear block codes. This chapter introduces the Matrix description of cyclic codes, Quasi-cyclic codes, Shortened cyclic codes, Fire Codes, Golay Codes and the powerful Cyclic Redundancy Check (CRC) Codes. Circuit implementation of Cyclic Codes has also been discussed here.

Chapter 5 deals with Bose-Chaudhuri Hocquenghem (BCH) Codes, a useful sub-class of cyclic codes. The chapter builds the necessary mathematical background required to work with BCH codes. Reed Solomon (RS) Codes, an important sub-class of BCH codes, are also discussed, along with their performance over real channels.

Chapter 6 is a new chapter and introduces the reader to the intriguing world of Space-Time Codes. The chapter covers Real Orthogonal Design, Generalized Real Orthogonal Design, Complex Orthogonal Design, Generalized Complex Orthogonal Design and Quasi-orthogonal Space Time Block Codes. Space-Time Code design criteria and design targets are also discussed in this chapter.
Part III: Codes on Graph
This part consists of following two fascinating chapters that deal with codes with memory:
Chapter 7 discusses various aspects of Convolutional Codes, including the Polynomial description, Distance Notion, Generating Function and the Matrix description. Viterbi decoding of Convolutional Codes is discussed in detail. Turbo Codes, Turbo decoding and Interleaver Design for Turbo Codes are also covered in this chapter.

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