Download or read book Two dimensional Signal and Image Processing written by Jae S. Lim and published by . This book was released on 1990 with total page 722 pages. Available in PDF, EPUB and Kindle. Book excerpt: New to P-H Signal Processing Series (Alan Oppenheim, Series Ed) this text covers the principles and applications of "multidimensional" and "image" digital signal processing. For Sr/grad level courses in image processing in EE departments.

Download or read book Two dimensional Signal Analysis written by René Garello and published by John Wiley & Sons. This book was released on 2013-03-01 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: This title sets out to show that 2-D signal analysis has its own role to play alongside signal processing and image processing. Concentrating its coverage on those 2-D signals coming from physical sensors (such as radars and sonars), the discussion explores a 2-D spectral approach but develops the modeling of 2-D signals and proposes several data-oriented analysis techniques for dealing with them. Coverage is also given to potential future developments in this area.

Download or read book Two dimensional Signal and Image Processing written by Jae S. Lim and published by . This book was released on 1990 with total page 724 pages. Available in PDF, EPUB and Kindle. Book excerpt: New to P-H Signal Processing Series (Alan Oppenheim, Series Ed) this text covers the principles and applications of "multidimensional" and "image" digital signal processing. For Sr/grad level courses in image processing in EE departments.

Download or read book Multidimensional Signal Image and Video Processing and Coding written by John W. Woods and published by Academic Press. This book was released on 2011-05-31 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multidimensional Signal, Image, and Video Processing and Coding gives a concise introduction to both image and video processing, providing a balanced coverage between theory, applications and standards. It gives an introduction to both 2-D and 3-D signal processing theory, supported by an introduction to random processes and some essential results from information theory, providing the necessary foundation for a full understanding of the image and video processing concepts that follow. A significant new feature is the explanation of practical network coding methods for image and video transmission. There is also coverage of new approaches such as: super-resolution methods, non-local processing, and directional transforms. Multidimensional Signal, Image, and Video Processing and Coding also has on-line support that contains many short MATLAB programs that complement examples and exercises on multidimensional signal, image, and video processing. There are numerous short video clips showing applications in video processing and coding, plus a copy of the vidview video player for playing .yuv video files on a Windows PC and an illustration of the effect of packet loss on H.264/AVC coded bitstreams. New to this edition: New appendices on random processes, information theory New coverage of image analysis – edge detection, linking, clustering, and segmentation Expanded coverage on image sensing and perception, including color spaces Now summarizes the new MPEG coding standards: scalable video coding (SVC) and multiview video coding (MVC), in addition to coverage of H.264/AVC Updated video processing material including new example on scalable video coding and more material on object- and region-based video coding More on video coding for networks including practical network coding (PNC), highlighting the significant advantages of PNC for both video downloading and streaming New coverage of super-resolution methods for image and video Only R&D level tutorial that gives an integrated treatment of image and video processing - topics that are interconnected New chapters on introductory random processes, information theory, and image enhancement and analysis Coverage and discussion of the latest standards in video coding: H.264/AVC and the new scalable video standard (SVC)

Download or read book Multidimensional Digital Signal Processing written by Dan E. Dudgeon and published by Prentice Hall. This book was released on 1984 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multidimensional signals and systems. Discrete fourier analysis of multidimensional signals. Design and implementation of two-dimensional fir filters. Multidimensional recursive systems. Design and implementation of two-dimensional iir filters. Processing signals carried by propagation waves. Inverse problems.

Download or read book Two dimensional Digital Signal Processing written by Thomas S. Huang and published by . This book was released on 1981 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Analysis of Multichannel Two Dimensional Random Signals written by Charles W. Therrien and published by . This book was released on 1986 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt: THe analysis of multiple correlated two-dimensional random signals or multichannel 2-D signals is described. The emphasis is on estimation (linear prediction) and modeling of the 2-D random signals. Applications to spectrum analysis and image processing are considered. Keywords include: Multi-dimensional signal processing; Multichannel image processing; 2-D spectral analysis; Two-dimensional linear prediction, 2-D AR modeling.

Download or read book Two dimensional Digital Signal Processing written by Sanjit Kumar Mitra and published by Hutchinson Ross Publishing Company. This book was released on 1978 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Two Dimensional Signal Processing for Storage Channels written by Cinna Soltanpur and published by . This book was released on 2016 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A Unified Signal Algebra Approach to Two Dimensional Parallel Digital Signal Processing written by Louis A. D'Alotto and published by CRC Press. This book was released on 1998-01-09 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Aims to bridge the gap between parallel computer architectures and the creation of parallel digital signal processing (DSP) algorithms. This work offers an approach to digital signal processing utilizing the unified signal algebra environment to develop naturally occurring parallel DSP algorithms.;College or university book shops may order five or more copies at a special student price. Price is available on request.

Download or read book Multidimensional Signal and Color Image Processing Using Lattices written by Eric Dubois and published by John Wiley & Sons. This book was released on 2019-04-29 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Innovative Approach to Multidimensional Signals and Systems Theory for Image and Video Processing In this volume, Eric Dubois further develops the theory of multi-D signal processing wherein input and output are vector-value signals. With this framework, he introduces the reader to crucial concepts in signal processing such as continuous- and discrete-domain signals and systems, discrete-domain periodic signals, sampling and reconstruction, light and color, random field models, image representation and more. While most treatments use normalized representations for non-rectangular sampling, this approach obscures much of the geometrical and scale information of the signal. In contrast, Dr. Dubois uses actual units of space-time and frequency. Basis-independent representations appear as much as possible, and the basis is introduced where needed to perform calculations or implementations. Thus, lattice theory is developed from the beginning and rectangular sampling is treated as a special case. This is especially significant in the treatment of color and color image processing and for discrete transform representations based on symmetry groups, including fast computational algorithms. Other features include: An entire chapter on lattices, giving the reader a thorough grounding in the use of lattices in signal processing Extensive treatment of lattices as used to describe discrete-domain signals and signal periodicities Chapters on sampling and reconstruction, random field models, symmetry invariant signals and systems and multidimensional Fourier transformation properties Supplemented throughout with MATLAB examples and accompanying downloadable source code Graduate and doctoral students as well as senior undergraduates and professionals working in signal processing or video/image processing and imaging will appreciate this fresh approach to multidimensional signals and systems theory, both as a thorough introduction to the subject and as inspiration for future research.

Download or read book Two dimensional Digital Signal Processing I written by Thomas S. Huang and published by . This book was released on 1981 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Two Dimensional Digital Signal Processing I written by T.S. Huang and published by Springer. This book was released on 2014-03-12 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: With contributions by numerous experts

Download or read book Advances in Signal Processing written by Margarita Favorskaya and published by Springer Nature. This book was released on 2020-03-19 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book attempts to improve algorithms by novel theories and complex data analysis in different scopes including object detection, remote sensing, data transmission, data fusion, gesture recognition, and medical image processing and analysis. The book is directed to the Ph.D. students, professors, researchers, and software developers working in the areas of digital video processing and computer vision technologies.

Download or read book Multirate Switched Capacitor Circuits for 2 D Signal Processing written by Wang Ping and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multirate Switched-Capacitor Circuits for 2-D Signal Processing introduces the concepts of analog multirate signal processing for the efficient implementation of two-dimensional (2-D) filtering in integrated circuit form, particularly from the viewpoints of silicon area and power dissipation. New 2-D switched-capacitor (SC) networks and design techniques are presented, both with finite impulse response (FIR) and infinite impulse response (IIR) with separable denominator polynomial, which offer simpler and more systematic synthesis procedures than currently available design techniques for 2-D analog filters. Since they are in the discrete-time domain, the book can be also referred to the digital multirate signal processing. A 2-D SC image processor that realizes both (2 x 2)nd-order Butterworth lowpass and highpass filtering functions for video image signals was realized as a prototype integrated circuit implemented in 1.0-mum CMOS technology. The experimental characterization of this prototype chip demonstrated the feasibility of real-time analog multirate 2-D image processing with equivalent 8-bits accuracy, using only 2.5 x 3.0 mm2 of silicon area and dissipating as little as 85 mW at 5V supply and 18 MHz sampling rate. This indicates that for moderate accuracy and low to moderate complexity of the filtering function, a fully multirate analog implementation has a potential to achieve a more competitive implementation than an alternative digital VLSI implementation. However, for high accuracy and/or higher processing complexity, not only the relative overhead cost of the front-end and back-end converters will diminish but also the implementation of the processing core in digital VLSI will benefit more of technology scaling to achieve higher density of integration. Multirate Switched-Capacitor Circuits for 2-D Signal Processing is essential reading for practicing analog design engineers and researchers in the field. It is also suitable as a text for an advanced course on the subject.

Download or read book Adaptive Systems in Control and Signal Processing 1989 written by T.S. Durrani and published by Elsevier. This book was released on 2014-06-28 with total page 629 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Symposium covered three major areas: adaptive control, identification and signal processing. In all three, new developments were discussed covering both theoretical and applications research. Within the subject area of adaptive control the discussion centred around the challenges of robust control design to unmodelled dynamics, robust parameter estimation and enhanced performance from the estimator, while the papers on identification took the theme of it being a bridge between adaptive control and signal processing. The final area looked at two aspects of signal processing: recursive estimation and adaptive filters.

Download or read book Digital Signal Processing written by Winser Alexander and published by Academic Press. This book was released on 2016-11-14 with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital signal processing (DSP) has been applied to a very wide range of applications. This includes voice processing, image processing, digital communications, the transfer of data over the internet, image and data compression, etc. Engineers who develop DSP applications today, and in the future, will need to address many implementation issues including mapping algorithms to computational structures, computational efficiency, power dissipation, the effects of finite precision arithmetic, throughput and hardware implementation. It is not practical to cover all of these in a single text. However, this text emphasizes the practical implementation of DSP algorithms as well as the fundamental theories and analytical procedures that form the basis for modern DSP applications. Digital Signal Processing: Principles, Algorithms and System Design provides an introduction to the principals of digital signal processing along with a balanced analytical and practical treatment of algorithms and applications for digital signal processing. It is intended to serve as a suitable text for a one semester junior or senior level undergraduate course. It is also intended for use in a following one semester first-year graduate level course in digital signal processing. It may also be used as a reference by professionals involved in the design of embedded computer systems, application specific integrated circuits or special purpose computer systems for digital signal processing, multimedia, communications, or image processing. Covers fundamental theories and analytical procedures that form the basis of modern DSP Shows practical implementation of DSP in software and hardware Includes Matlab for design and implementation of signal processing algorithms and related discrete time systems Bridges the gap between reference texts and the knowledge needed to implement DSP applications in software or hardware