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Image and Video Compression Fundamentals Techniques and Applications

Introduction to Information Theory and Data Compression

Introduction to Information Theory and Data Compression

An effective blend of carefully explained theory and practical applications this text imparts the fundamentals of both information theory and data compression. Although the two topics are related this unique text allows either topic to be presented independently and it was specifically designed so that the data compression section requires no prior knowledge of information theory. The treatment of information theory while theoretical and abstract is quite elementary making this text less daunting than many others. After presenting the fundamental definitions and results of the theory the authors then apply the theory to memoryless discrete channels with zeroth-order one-state sources. The chapters on data compression acquaint students with a myriad of lossless compression methods and then introduce two lossy compression methods. Students emerge from this study competent in a wide range of techniques. The authors' presentation is highly practical but includes some important proofs either in the text or in the exercises so instructors can if they choose place more emphasis on the mathematics. Introduction to Information Theory and Data Compression Second Edition is ideally suited for an upper-level or graduate course for students in mathematics engineering and computer science. Features:Expanded discussion of the historical and theoretical basis of information theory that builds a firm intuitive grasp of the subjectReorganization of theoretical results along with new exercises ranging from the routine to the more difficult that reinforce students' ability to apply the definitions and results in specific situations. Simplified treatment of the algorithm(s) of Gallager and KnuthDiscussion of the information rate of a code and the trade-off between error correction and information rateTreatment of probabilistic finite state source automata including basic resul

GBP 59.99
1

Vapor Compression Heat Pumps with Refrigerant Mixtures

Vapor Compression Heat Pumps with Refrigerant Mixtures

Amidst tightening requirements for eliminating CFC’s HCFC’s halons and HFC’s from use in air conditioning and heat pumps the search began for replacements that are environmentally benign non-flammable and similar to the banned refrigerants in system-level behavior. Refrigerant mixtures are increasingly used as working fluids because they demonstrate desirable thermodynamic feasibility and safety characteristics. Vapor Compression Heat Pumps with Refrigerant Mixtures provides the first comprehensive single-source treatment of working fluid mixtures and their applications in vapor compression systems. The authors explain in detail the thermodynamics of refrigerant mixtures which is vastly more complex than that of individual refrigerants as well as the fundamentals of various refrigeration cycles and methods for improving their efficiency. They also include important discussions on heat transfer and pressure drop correlations experimental performance measurements and examples of using refrigerants and their mixtures and critical operational issues such as control issues refrigerant mixing and mass fraction shifts. Assembling reviews of the scattered literature on the subject and reflecting two decades of research by the authors Vapor Compression Heat Pumps with Refrigerant Mixtures prepares you to design and implement systems that take the best advantage of fluid mixtures confronting the challenges and grasping the opportunities that they present.

GBP 56.99
1

Image and Video Compression for Multimedia Engineering Fundamentals Algorithms and Standards Third Edition

Algorithmic Techniques for the Polymer Sciences

Binary Neural Networks Algorithms Architectures and Applications

Binary Neural Networks Algorithms Architectures and Applications

Deep learning has achieved impressive results in image classification computer vision and natural language processing. To achieve better performance deeper and wider networks have been designed which increase the demand for computational resources. The number of floatingpoint operations (FLOPs) has increased dramatically with larger networks and this has become an obstacle for convolutional neural networks (CNNs) being developed for mobile and embedded devices. In this context Binary Neural Networks: Algorithms Architectures and Applications will focus on CNN compression and acceleration which are important for the research community. We will describe numerous methods including parameter quantization network pruning low-rank decomposition and knowledge distillation. More recently to reduce the burden of handcrafted architecture design neural architecture search (NAS) has been used to automatically build neural networks by searching over a vast architecture space. Our book will also introduce NAS and binary NAS and its superiority and state-of-the-art performance in various applications such as image classification and object detection. We also describe extensive applications of compressed deep models on image classification speech recognition object detection and tracking. These topics can help researchers better understand the usefulness and the potential of network compression on practical applications. Moreover interested readers should have basic knowledge of machine learning and deep learning to better understand the methods described in this book. Key Features Reviews recent advances in CNN compression and acceleration Elaborates recent advances on binary neural network (BNN) technologies Introduces applications of BNN in image classification speech recognition object detection and more | Binary Neural Networks Algorithms Architectures and Applications

GBP 110.00
1

Combustion Engineering

Timber Design

Steel Design

A Primer on Wavelets and Their Scientific Applications

A Primer on Wavelets and Their Scientific Applications

In the first edition of his seminal introduction to wavelets James S. Walker informed us that the potential applications for wavelets were virtually unlimited. Since that time thousands of published papers have proven him true while also necessitating the creation of a new edition of his bestselling primer. Updated and fully revised to include the latest developments this second edition of A Primer on Wavelets and Their Scientific Applications guides readers through the main ideas of wavelet analysis in order to develop a thorough appreciation of wavelet applications. Ingeniously relying on elementary algebra and just a smidgen of calculus Professor Walker demonstrates how the underlying ideas behind wavelet analysis can be applied to solve significant problems in audio and image processing as well in biology and medicine. Nearly twice as long as the original this new edition provides 104 worked examples and 222 exercises constituting a veritable book of review material Two sections on biorthogonal wavelets A mini-course on image compression including a tutorial on arithmetic compression Extensive material on image denoising featuring a rarely covered technique for removing isolated randomly positioned clutter Concise yet complete coverage of the fundamentals of time-frequency analysis showcasing its application to audio denoising and musical theory and synthesis An introduction to the multiresolution principle a new mathematical concept in musical theory Expanded suggestions for research projects An enhanced list of references

GBP 180.00
1

Audio Engineering 101 A Beginner's Guide to Music Production

FRP-Strengthened Metallic Structures

FRP-Strengthened Metallic Structures

Repairing or strengthening failing metallic structures traditionally involves using bulky and heavy external steel plates that often pose their own problems. The plates are generally prone to corrosion and overall fatigue. Fiber-reinforced polymer (FRP) a composite material made of a polymer matrix reinforced with fibers offers a great alternative for strengthening metallic structures especially steel structures such as bridges buildings offshore platforms pipelines and crane structures. FRP-Strengthened Metallic Structures explores the behaviour and design of these structures from basic concepts to design recommendations. It covers bond behaviour between FRP and steel and describes improvement of fatigue performance bending compression and bearing forces strengthening of compression and steel tubular members strengthening for enhanced fatigue and seismic performance and strengthening against web crippling of steel sections. It also provides examples of performance improvement by FRP strengthening. • Summarizes worldwide research on the FRP strengthening of metallic structures • Contains several topics not generally covered in existing texts • Presents comprehensive topical references throughout the book The book outlines the applications existing design guidance and special characteristics of FRP composites within the context of their use in structural strengthening. While the major focus is on steel structures it also describes others such as aluminium structures. This book is suitable for structural engineers researchers and university students interested in the FRP strengthening technique. Xiao-Ling Zhao is chair of structural engineering at Monash University Australia and is author of Concrete-Filled Tubular Members and Connections also published by Taylor & Francis.

GBP 74.99
1

Concrete-Filled Stainless Steel Tubular Columns

Concrete-Filled Stainless Steel Tubular Columns

Concrete-filled stainless steel tubular (CFSST) columns are increasingly used in modern composite construction due to their high strength high ductility high corrosion resistance high durability and aesthetics and ease of maintenance. Thin-walled CFSST columns are characterized by the different strain-hardening behavior of stainless steel in tension and in compression local buckling of stainless steel tubes and concrete confinement. Design codes and numerical models often overestimate or underestimate the ultimate strengths of CFSST columns. This book presents accurate and efficient computational models for the nonlinear inelastic analysis and design of CFSST short and slender columns under axial load and biaxial bending. The effects of different strain-hardening characteristics of stainless steel in tension and in compression progressive local and post-local buckling of stainless steel tubes and concrete confinement are taken into account in the computational models. The numerical models simulate the axial load-strain behavior moment-curvature curves axial load-deflection responses and axial load-moment strength interaction diagrams of CFSST columns. The book describes the mathematical formulations computational procedures and model verifications for circular and rectangular CFSST short and slender columns. The behavior of CFSST columns under various loading conditions is demonstrated by numerous numerical examples. This book is written for practising structural and civil engineers academic researchers and graduate students in civil engineering who are interested in the latest computational techniques and design methods for CFSST columns. | Concrete-Filled Stainless Steel Tubular Columns

GBP 44.99
1

Handbook of Pharmaceutical Manufacturing Formulations Volume Three Liquid Products

Plastics Fabrication and Recycling

Masonry Design

Dance Music Manual

Chemical Thermodynamics and Information Theory with Applications

Compressor Handbook: Principles and Practice

Advances in Chromatography Volume 58

Shock Waves in Solid State Physics

Color Grading 101 Getting Started Color Grading for Editors Cinematographers Directors and Aspiring Colorists

Signal Processing A Mathematical Approach Second Edition

Signal Processing A Mathematical Approach Second Edition

Signal Processing: A Mathematical Approach is designed to show how many of the mathematical tools the reader knows can be used to understand and employ signal processing techniques in an applied environment. Assuming an advanced undergraduate- or graduate-level understanding of mathematics—including familiarity with Fourier series matrices probability and statistics—this Second Edition: Contains new chapters on convolution and the vector DFT plane-wave propagation and the BLUE and Kalman filtersExpands the material on Fourier analysis to three new chapters to provide additional background informationPresents real-world examples of applications that demonstrate how mathematics is used in remote sensingFeaturing problems for use in the classroom or practice Signal Processing: A Mathematical Approach Second Edition covers topics such as Fourier series and transforms in one and several variables; applications to acoustic and electro-magnetic propagation models transmission and emission tomography and image reconstruction; sampling and the limited data problem; matrix methods singular value decomposition and data compression; optimization techniques in signal and image reconstruction from projections; autocorrelations and power spectra; high-resolution methods; detection and optimal filtering; and eigenvector-based methods for array processing and statistical filtering time-frequency analysis and wavelets. | Signal Processing A Mathematical Approach Second Edition

GBP 44.99
1

Temporal Regimes Materiality Politics Technology

Explanatory Optimism about the Hard Problem of Consciousness