Signal Recovery and Synthesis

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Publisher :
ISBN 13 :
Total Pages : 178 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis Signal Recovery and Synthesis by :

Download or read book Signal Recovery and Synthesis written by and published by . This book was released on 1998 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Signal Recovery and Synthesis

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Publisher :
ISBN 13 :
Total Pages : 168 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Signal Recovery and Synthesis by : Optical Society of America

Download or read book Signal Recovery and Synthesis written by Optical Society of America and published by . This book was released on 2001 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt:

NASA Reference Publication

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Publisher :
ISBN 13 :
Total Pages : 490 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis NASA Reference Publication by :

Download or read book NASA Reference Publication written by and published by . This book was released on 1990 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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Author :
Publisher : Information Gatekeepers Inc
ISBN 13 :
Total Pages : 27 pages
Book Rating : 4./5 ( download)

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Book Synopsis by :

Download or read book written by and published by Information Gatekeepers Inc. This book was released on with total page 27 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Digital Image Recovery and Synthesis

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Publisher :
ISBN 13 :
Total Pages : 230 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Digital Image Recovery and Synthesis by :

Download or read book Digital Image Recovery and Synthesis written by and published by . This book was released on 1996 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Image Recovery: Theory and Application

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Publisher : Elsevier
ISBN 13 : 0323145973
Total Pages : 565 pages
Book Rating : 4.3/5 (231 download)

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Book Synopsis Image Recovery: Theory and Application by : Henry Stark

Download or read book Image Recovery: Theory and Application written by Henry Stark and published by Elsevier. This book was released on 2013-04-25 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image Recovery: Theory and Application focuses on signal recovery and synthesis problems. This book discusses the concepts of image recovery, including regularization, the projection theorem, and the pseudoinverse operator. Comprised of 13 chapters, this volume begins with a review of the basic properties of linear vector spaces and associated operators, followed by a discussion on the Gerchberg-Papoulis algorithm. It then explores image restoration and the basic mathematical theory in image restoration problems. The reader is also introduced to the problem of obtaining artifact-free computed tomographic reconstruction. Other chapters consider the importance of Bayesian approach in the context of medical imaging. In addition, the book discusses the linear programming method, which is particularly important for images with large number of pixels with zero value. Such images are usually found in medical imaging, microscopy, electron microscopy, and astronomy. This book can be a valuable resource to materials scientists, engineers, computed tomography technologists, and astronomers.

Digital Image Computing: Techniques and Applications

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Publisher : CSIRO PUBLISHING
ISBN 13 : 0643098836
Total Pages : 916 pages
Book Rating : 4.6/5 (43 download)

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Book Synopsis Digital Image Computing: Techniques and Applications by : Changming Sun

Download or read book Digital Image Computing: Techniques and Applications written by Changming Sun and published by CSIRO PUBLISHING. This book was released on 2003-12-01 with total page 916 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital Image Computing: Techniques and Applications is the premier biennial conference in Australia on the topics of image processing and image analysis. This seventh edition of the proceedings has seen an unprecedented level of submission, on such diverse areas as: Image processing; Face recognition; Segmentation; Registration; Motion analysis; Medical imaging; Object recognition; Virtual environments; Graphics; Stereo-vision; and Video analysis. These two volumes contain all the 108 accepted papers and five invited talks that were presented at the conference. These two volumes provide the Australian and international imaging research community with a snapshot of current theoretical and practical developments in these areas. They are of value to any engineer, computer scientist, mathematician, statistician or student interested in these matters.

Scale Space and Variational Methods in Computer Vision

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Publisher : Springer
ISBN 13 : 3319587714
Total Pages : 712 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Scale Space and Variational Methods in Computer Vision by : François Lauze

Download or read book Scale Space and Variational Methods in Computer Vision written by François Lauze and published by Springer. This book was released on 2017-05-16 with total page 712 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2017, held in Kolding, Denmark, in June 2017. The 55 revised full papers presented were carefully reviewed and selected from 77 submissions. The papers are organized in the following topical sections: Scale Space and PDE Methods; Restoration and Reconstruction; Tomographic Reconstruction; Segmentation; Convex and Non-Convex Modeling and Optimization in Imaging; Optical Flow, Motion Estimation and Registration; 3D Vision.

Neural Advances in Processing Nonlinear Dynamic Signals

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Publisher : Springer
ISBN 13 : 3319950983
Total Pages : 313 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Neural Advances in Processing Nonlinear Dynamic Signals by : Anna Esposito

Download or read book Neural Advances in Processing Nonlinear Dynamic Signals written by Anna Esposito and published by Springer. This book was released on 2018-07-21 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book proposes neural networks algorithms and advanced machine learning techniques for processing nonlinear dynamic signals such as audio, speech, financial signals, feedback loops, waveform generation, filtering, equalization, signals from arrays of sensors, and perturbations in the automatic control of industrial production processes. It also discusses the drastic changes in financial, economic, and work processes that are currently being experienced by the computational and engineering sciences community. Addresses key aspects, such as the integration of neural algorithms and procedures for the recognition, the analysis and detection of dynamic complex structures and the implementation of systems for discovering patterns in data, the book highlights the commonalities between computational intelligence (CI) and information and communications technologies (ICT) to promote transversal skills and sophisticated processing techniques. This book is a valuable resource for a. The academic research community b. The ICT market c. PhD students and early stage researchers d. Companies, research institutes e. Representatives from industry and standardization bodies

Compressed Sensing for Engineers

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Publisher : CRC Press
ISBN 13 : 1351261347
Total Pages : 225 pages
Book Rating : 4.3/5 (512 download)

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Book Synopsis Compressed Sensing for Engineers by : Angshul Majumdar

Download or read book Compressed Sensing for Engineers written by Angshul Majumdar and published by CRC Press. This book was released on 2018-12-07 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Compressed Sensing (CS) in theory deals with the problem of recovering a sparse signal from an under-determined system of linear equations. The topic is of immense practical significance since all naturally occurring signals can be sparsely represented in some domain. In recent years, CS has helped reduce scan time in Magnetic Resonance Imaging (making scans more feasible for pediatric and geriatric subjects) and has also helped reduce the health hazard in X-Ray Computed CT. This book is a valuable resource suitable for an engineering student in signal processing and requires a basic understanding of signal processing and linear algebra. Covers fundamental concepts of compressed sensing Makes subject matter accessible for engineers of various levels Focuses on algorithms including group-sparsity and row-sparsity, as well as applications to computational imaging, medical imaging, biomedical signal processing, and machine learning Includes MATLAB examples for further development

Signals and Images

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Publisher : Springer Science & Business Media
ISBN 13 : 9401158045
Total Pages : 287 pages
Book Rating : 4.4/5 (11 download)

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Book Synopsis Signals and Images by : Madeleine Bastide

Download or read book Signals and Images written by Madeleine Bastide and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scientists challenging dominant paradigms are either ignored or attacked by the scientific mainstream. This book, however, contains a selection of scientific papers presented at the two last GIRI meetings (International Research Group on Very Low Dose and High Dilution Effects). The majority of these papers present results performed with succussed high dilutions (homeopathic dilutions), even beyond the Avogrado number. All presented models are classified, and their interpretation is possible either in the mechanistic paradigm or in an information paradigm. This new field of research introduces new scientific concepts which are supported by experimental results. Furthermore, this nascent science is totally concerned with living organisms and, as such, it becomes necessary to define `information' brought by non-molecular high dilutions. This book presents brain-storming work of this research group and is one of the starting points of a scientific evolution.

Machine Intelligence and Signal Processing

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Publisher : Springer
ISBN 13 : 8132226259
Total Pages : 169 pages
Book Rating : 4.1/5 (322 download)

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Book Synopsis Machine Intelligence and Signal Processing by : Richa Singh

Download or read book Machine Intelligence and Signal Processing written by Richa Singh and published by Springer. This book was released on 2015-10-01 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises chapters on key problems in machine learning and signal processing arenas. The contents of the book are a result of a 2014 Workshop on Machine Intelligence and Signal Processing held at the Indraprastha Institute of Information Technology. Traditionally, signal processing and machine learning were considered to be separate areas of research. However in recent times the two communities are getting closer. In a very abstract fashion, signal processing is the study of operator design. The contributions of signal processing had been to device operators for restoration, compression, etc. Applied Mathematicians were more interested in operator analysis. Nowadays signal processing research is gravitating towards operator learning – instead of designing operators based on heuristics (for example wavelets), the trend is to learn these operators (for example dictionary learning). And thus, the gap between signal processing and machine learning is fast converging. The 2014 Workshop on Machine Intelligence and Signal Processing was one of the few unique events that are focused on the convergence of the two fields. The book is comprised of chapters based on the top presentations at the workshop. This book has three chapters on various topics of biometrics – two are on face detection and one on iris recognition; all from top researchers in their field. There are four chapters on different biomedical signal / image processing problems. Two of these are on retinal vessel classification and extraction; one on biomedical signal acquisition and the fourth one on region detection. There are three chapters on data analysis – a topic gaining immense popularity in industry and academia. One of these shows a novel use of compressed sensing in missing sales data interpolation. Another chapter is on spam detection and the third one is on simple one-shot movie rating prediction. Four other chapters cover various cutting edge miscellaneous topics on character recognition, software effort prediction, speech recognition and non-linear sparse recovery. The contents of this book will prove useful to researchers, professionals and students in the domains of machine learning and signal processing.

Introductory Digital Signal Processing with Computer Applications

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Publisher : John Wiley & Sons
ISBN 13 : 0471976318
Total Pages : 495 pages
Book Rating : 4.4/5 (719 download)

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Book Synopsis Introductory Digital Signal Processing with Computer Applications by : Paul A. Lynn

Download or read book Introductory Digital Signal Processing with Computer Applications written by Paul A. Lynn and published by John Wiley & Sons. This book was released on 1998-06-11 with total page 495 pages. Available in PDF, EPUB and Kindle. Book excerpt: "An excellent introductory book" (Review of the First Edition in the International Journal of Electrical Engineering Education) " it will serve as a reference book in this area for a long time" (Review of Revised Edition in Zentralblatt für Mathematik (Germany)) Firmly established as the essential introductory Digital Signal Processing (DSP) text, this second edition reflects the growing importance of random digital signals and random DSP in the undergraduate syllabus by including two new chapters. The authors' practical, problem-solving approach to DSP continues in this new material, which is backed up by additional worked examples and computer programs. The book now features: * fundamentals of digital signals and systems * time and frequency domain analysis and processing, including digital convolution and the Discrete and Fast Fourier Transforms * design and practical application of digital filters * description and processing of random signals, including correlation, filtering, and the detection of signals in noise Programs in C and equivalent PASCAL are listed in an Appendix. Typical results and graphic plots from all the programs are illustrated and discussed in the main text. The overall approach assumes no prior knowledge of electronics, computing, or DSP. An ideal text for undergraduate students in electrical, electronic and other branches of engineering, computer science, applied mathematics and physics. Practising engineers and scientists will also find this a highly accessible introduction to an increasingly important field.

Traffic Signal Operations Near Highway-rail Grade Crossings

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Publisher : Transportation Research Board
ISBN 13 : 9780309068246
Total Pages : 100 pages
Book Rating : 4.0/5 (682 download)

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Book Synopsis Traffic Signal Operations Near Highway-rail Grade Crossings by : Hans W. Korve

Download or read book Traffic Signal Operations Near Highway-rail Grade Crossings written by Hans W. Korve and published by Transportation Research Board. This book was released on 1999 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents a review of the current practices associated with the operation of traffic signals at intersections located near highway-rail grade crossings.

Soft Computing and Signal Processing

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Publisher : Springer
ISBN 13 : 9811333939
Total Pages : 765 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Soft Computing and Signal Processing by : Jiacun Wang

Download or read book Soft Computing and Signal Processing written by Jiacun Wang and published by Springer. This book was released on 2019-02-13 with total page 765 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book includes research papers on current developments in the field of soft computing and signal processing, selected from papers presented at the International Conference on Soft Computing and Signal Processing (ICSCSP 2018). It features papers on current topics, such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning. It also discusses various aspects of these topics, like technologies, product implementation, and application issues.

Foundations of Signal Processing

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Publisher : Cambridge University Press
ISBN 13 : 1139916572
Total Pages : 745 pages
Book Rating : 4.1/5 (399 download)

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Book Synopsis Foundations of Signal Processing by : Martin Vetterli

Download or read book Foundations of Signal Processing written by Martin Vetterli and published by Cambridge University Press. This book was released on 2014-09-04 with total page 745 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive and engaging textbook introduces the basic principles and techniques of signal processing, from the fundamental ideas of signals and systems theory to real-world applications. Students are introduced to the powerful foundations of modern signal processing, including the basic geometry of Hilbert space, the mathematics of Fourier transforms, and essentials of sampling, interpolation, approximation and compression The authors discuss real-world issues and hurdles to using these tools, and ways of adapting them to overcome problems of finiteness and localization, the limitations of uncertainty, and computational costs. It includes over 160 homework problems and over 220 worked examples, specifically designed to test and expand students' understanding of the fundamentals of signal processing, and is accompanied by extensive online materials designed to aid learning, including Mathematica® resources and interactive demonstrations.

Computational Photography

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Publisher : Linköping University Electronic Press
ISBN 13 : 9179299059
Total Pages : 122 pages
Book Rating : 4.1/5 (792 download)

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Book Synopsis Computational Photography by : Saghi Hajisharif

Download or read book Computational Photography written by Saghi Hajisharif and published by Linköping University Electronic Press. This book was released on 2020-02-18 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: The introduction and recent advancements of computational photography have revolutionized the imaging industry. Computational photography is a combination of imaging techniques at the intersection of various fields such as optics, computer vision, and computer graphics. These methods enhance the capabilities of traditional digital photography by applying computational techniques both during and after the capturing process. This thesis targets two major subjects in this field: High Dynamic Range (HDR) image reconstruction and Light Field (LF) compressive capturing, compression, and real-time rendering. The first part of the thesis focuses on the HDR images that concurrently contain detailed information from the very dark shadows to the brightest areas in the scenes. One of the main contributions presented in this thesis is the development of a unified reconstruction algorithm for spatially variant exposures in a single image. This method is based on a camera noise model, and it simultaneously resamples, reconstructs, denoises, and demosaics the image while extending its dynamic range. Furthermore, the HDR reconstruction algorithm is extended to adapt to the local features of the image, as well as the noise statistics, to preserve the high-frequency edges during reconstruction. In the second part of this thesis, the research focus shifts to the acquisition, encoding, reconstruction, and rendering of light field images and videos in a real-time setting. Unlike traditional integral photography, a light field captures the information of the dynamic environment from all angles, all points in space, and all spectral wavelength and time. This thesis employs sparse representation to provide an end-to-end solution to the problem of encoding, real-time reconstruction, and rendering of high dimensional light field video data sets. These solutions are applied on various types of data sets, such as light fields captured with multi-camera systems or hand-held cameras equipped with micro-lens arrays, and spherical light fields. Finally, sparse representation of light fields was utilized for developing a single sensor light field video camera equipped with a color-coded mask. A new compressive sensing model is presented that is suitable for dynamic scenes with temporal coherency and is capable of reconstructing high-resolution light field videos.