A fully up-to-date guide to transformative consumer technologies Video compression - or video coding - has been at the centre of a revolution in the way video is produced, delivered, and consumed. It has made the switch from analogue to digital video possible and has enabled fundamental shifts in the way we now watch video. New video compression standards, together with adaptive streaming protocols, are used to deliver high-quality video to homes and workplaces around the world. Coding Video provides a practical and comprehensive guide to the new landscape of video coding and video streaming. This book explains the core technologies with a wealth of practical examples and illustrations, covers key standards such as H.265/HEVC and includes an introduction to the new H.266/VVC standard. Coding Video will appeal to engineers, application developers, product designers and digital video professionals, as well as to graduate students and researchers in Engineering, Computer Science and related subjects. A book companion website is available at https://www.vcodex.com/coding-video-book.

Understanding how populations of neurons encode information is the challenge faced by researchers in the field of neural coding. Focusing on the many mysteries and marvels of the mind has prompted a prominent team of experts in the field to put their heads together and fire up a book on the subject. Simply titled Principles of Neural Coding, this b

Offers a comprehensive introduction to the fundamental structures and applications of a wide range of contemporary coding operations This book offers a comprehensive introduction to the fundamental structures and applications of a wide range of contemporary coding operations. This text focuses on the ways to structure information so that its transmission will be in the safest, quickest, and most efficient and error-free manner possible. All coding operations are covered in a single framework, with initial chapters addressing early mathematical models and algorithmic developments which led to the structure of code. After discussing the general foundations of code, chapters proceed to cover individual topics such as notions of compression, cryptography, detection, and correction codes. Both classical coding theories and the most cutting-edge models are addressed, along with helpful exercises of varying complexities to enhance comprehension. Explains how to structure coding information so that its transmission is safe, error-free, efficient, and fast Includes a pseudo-code that readers may implement in their preferential programming language Features descriptive diagrams and illustrations, and almost 150 exercises, with corrections, of varying complexity to enhance comprehension Foundations of Coding: Compression, Encryption, Error-Correction is an invaluable resource for understanding the various ways information is structured for its secure and reliable transmission in the 21st-century world.

This book is intended to provide engineering and/or statistics students, communications engineers, and mathematicians with the firm theoretic basis of source coding (or data compression) in information theory. Although information theory consists of two main areas, source coding and channel coding, the authors choose here to focus only on source coding. The reason is that, in a sense, it is more basic than channel coding, and also because of recent achievements in source coding and compression. An important feature of the book is that whenever possible, the authors describe universal coding methods, i.e., the methods that can be used without prior knowledge of the statistical properties of the data. The authors approach the subject of source coding from the very basics to the top frontiers in an intuitively transparent, but mathematically sound, manner. The book serves as a theoretical reference for communication professionals and statisticians specializing in information theory. It will also serve as an excellent introductory text for advanced-level and graduate students taking elementary or advanced courses in telecommunications, electrical engineering, statistics, mathematics, and computer science.

The go-to guide for learning coding from the ground-up Adding some coding know-how to your skills can help launch a new career or bolster an old one. Coding All-in-One For Dummies offers an ideal starting place for learning the languages that make technology go. This edition gets you started with a helpful explanation of how coding works and how it’s applied in the real-world before setting you on a path toward writing code for web building, mobile application development, and data analysis. Add coding to your skillset for your existing career, or begin the exciting transition into life as a professional developer—Dummies makes it easy. Learn coding basics and how to apply them Analyze data and automate routine tasks on the job Get the foundation you need to launch a career as a coder Add HTML, JavaScript, and Python know-how to your resume This book serves up insight on the basics of coding, designed to be easy to follow, even if you’ve never written a line of code in your life. You can do this.

The work introduces the fundamentals concerning the measure of discrete information, the modeling of discrete sources without and with a memory, as well as of channels and coding. The understanding of the theoretical matter is supported by many examples. One particular emphasis is put on the explanation of Genomic Coding. Many examples throughout the book are chosen from this particular area and several parts of the book are devoted to this exciting implication of coding.

Microelectronics have been "bio-inspired" by the human brain to devise a new way, via topological maps, to represent and process data. In the world of fuzzy logic and artificial neural networks, Landolt (CSEM SA, Neuchatel, Switzerland) tours the place encoding of numbers by their location in a spot of cellular activity: the concepts, circuits, some perspectives on and extensions of the concepts to difficult computational problems. The theoretical portion defines the relationships between an activity spot on the map and the value it represents, and between two or more maps created by a synthesis of circuits. The validity of the concept for engineers is supported by examples of working VLSI chips. Annotation copyrighted by Book News, Inc., Portland, OR

Brief informal introductions to coding techniques developed for the storage, retrieval, and transmission of large amounts of data.

Error Coding for Engineers provides a useful tool for practicing engineers, students, and researchers, focusing on the applied rather than the theoretical. It describes the processes involved in coding messages in such a way that, if errors occur during transmission or storage, they are detected and, if necessary, corrected. Very little knowledge beyond a basic understanding of binary manipulation and Boolean algebra is assumed, making the subject accessible to a broad readership including non-specialists. The approach is tutorial: numerous examples, illustrations, and tables are included, along with over 30 pages of hands-on exercises and solutions. Error coding is essential in many modern engineering applications. Engineers involved in communications design, DSP-based applications, IC design, protocol design, storage solutions, and memory product design are among those who will find the book to be a valuable reference. Error Coding for Engineers is also suitable as a text for basic and advanced university courses in communications and engineering.

There are two big problems that science still has not resolved. They are: What are we? Where do we come from? These two questions have troubled people for centuries. 150 years ago, Charles Darwin wrote two books: "On the Origin of Species" and "The Descent of Man, and Selection in Relation to Sex". In these two books, the theory of species evolution was proposed: all species are constantly evolving; the present people and all species are formed through natural selection. The basis of this theory is based on the comparison of biological forms. Now, knowing that all the genetic information of living things is completely determined with DNA, is evolution still correct? Did humanity evolve from apes? This book will answer these questions.