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Generative Signal Processing Through Multilayer Multiscale Wavelet Models


Generative Signal Processing Through Multilayer Multiscale Wavelet Models
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Generative Signal Processing Through Multilayer Multiscale Wavelet Models


Generative Signal Processing Through Multilayer Multiscale Wavelet Models
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Author : Jieqian He
language : en
Publisher:
Release Date : 2021

Generative Signal Processing Through Multilayer Multiscale Wavelet Models written by Jieqian He and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Electronic dissertations categories.


Wavelet analysis and deep learning are two popular fields for signal processing. The scattering transform from wavelet analysis is a recently proposed mathematical model for convolution neural networks. Signals with repeated patterns can be analyzed using the statistics from such models. Specifically, signals from certain classes can be recovered from related statistics. We first focus on recovering 1D deterministic dirac signals from multiscale statistics. We prove a dirac signal can be recovered from multiscale statistics up to a translation and reflection. Then we switch to a stochastic version, modeled using Poisson point processes, and prove wavelet statistics at small scales capture the intensity parameter of Poisson point processes. We also design a scattering generative adversarial network (GAN) to generate new Poisson point samples from statistics of multiple given samples. Next we consider texture images. We successfully synthesize new textures given one sample from the texture class through multiscale, multilayer wavelet models. Finally, we analyze and prove why the multiscale multilayer model is essential for signal recovery, especially natural texture images.



Multiscale Signal Analysis And Modeling


Multiscale Signal Analysis And Modeling
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Author :
language : en
Publisher: Springer
Release Date : 2012-09-19

Multiscale Signal Analysis And Modeling written by and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-19 with categories.




Second Generation Wavelets And Applications


Second Generation Wavelets And Applications
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Author : Maarten H. Jansen
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-12-06

Second Generation Wavelets And Applications written by Maarten H. Jansen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-12-06 with Technology & Engineering categories.


Second Generation Wavelets and Applications introduces "second generation wavelets" and the lifting transform that can be used to apply the traditional benefits of wavelets into a wide range of new areas in signal processing, data processing and computer graphics. This book details the mathematical fundamentals of the lifting transform and illustrates the latest applications of the transform in signal and image processing, numerical analysis, scattering data smoothing and rendering of computer images.



Sparse Image And Signal Processing


Sparse Image And Signal Processing
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Author : Jean-Luc Starck
language : en
Publisher:
Release Date : 2010

Sparse Image And Signal Processing written by Jean-Luc Starck and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Electronic books categories.


Presents the state of the art in sparse and multiscale image and signal processing.



Multiscale Statistical Models For Signal And Image Processing


Multiscale Statistical Models For Signal And Image Processing
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Author :
language : en
Publisher:
Release Date : 2004

Multiscale Statistical Models For Signal And Image Processing written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with categories.


We are developing a general theory for multi scale signal and image modeling, processing, and analysis that matched to singularity-rich data, such as transients and images with edges. Using a linguistic analogy, our model can be interpreted as grammars that constrain the wavelet vocabulary. Our investigation focuses on probabilistic graph models (tree-based hidden Markov models) that can accurately, realistically, and efficiently represent singularity structure in the wavelet domain. Grammar design is being guided by a detailed study of the final structure of singularities using Besov spaces and multifractal analysis.



Computational Signal Processing With Wavelets


Computational Signal Processing With Wavelets
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Author : Anthony Teolis
language : en
Publisher:
Release Date : 1998

Computational Signal Processing With Wavelets written by Anthony Teolis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with categories.




Computer Vision Eccv 2020 Workshops


Computer Vision Eccv 2020 Workshops
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Author : Adrien Bartoli
language : en
Publisher: Springer Nature
Release Date : 2021-01-29

Computer Vision Eccv 2020 Workshops written by Adrien Bartoli and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-29 with Computers categories.


The 6-volume set, comprising the LNCS books 12535 until 12540, constitutes the refereed proceedings of 28 out of the 45 workshops held at the 16th European Conference on Computer Vision, ECCV 2020. The conference was planned to take place in Glasgow, UK, during August 23-28, 2020, but changed to a virtual format due to the COVID-19 pandemic. The 249 full papers, 18 short papers, and 21 further contributions included in the workshop proceedings were carefully reviewed and selected from a total of 467 submissions. The papers deal with diverse computer vision topics. Part III includes the Advances in Image Manipulation Workshop and Challenges.



Data Engineering And Applications


Data Engineering And Applications
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Author : Sanjeev Sharma
language : en
Publisher: Springer Nature
Release Date : 2022-10-11

Data Engineering And Applications written by Sanjeev Sharma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-11 with Computers categories.


The book contains select proceedings of the 3rd International Conference on Data, Engineering, and Applications (IDEA 2021). It includes papers from experts in industry and academia that address state-of-the-art research in the areas of big data, data mining, machine learning, data science, and their associated learning systems and applications. This book will be a valuable reference guide for all graduate students, researchers, and scientists interested in exploring the potential of big data applications.



Industry 4 0 In Small And Medium Sized Enterprises Smes


Industry 4 0 In Small And Medium Sized Enterprises Smes
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Author : Ketan Kotecha
language : en
Publisher: CRC Press
Release Date : 2022-03-11

Industry 4 0 In Small And Medium Sized Enterprises Smes written by Ketan Kotecha and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-11 with Technology & Engineering categories.


Focusing on the broader areas of Industry 4.0 as it applies to small and medium-sized enterprises (SMEs), this book offers a smooth adoption of techniques and technologies and presents advances, challenges, and opportunities for implementation. It will also enhance the role of academia by training new engineers on Industry 4.0 and digital transformation. Industry 4.0 in Small and Medium-Sized Enterprises (SMEs): Opportunities, Challenges, and Solutions presents concepts of predictive maintenance, digital factory, digital twin, additive manufacturing, and machining for sustainable development. It discusses the challenges faced by adopting Industry 4.0 including new security and privacy measures in the whole smart manufacturing setup while also explaining the impact of Industry 4.0 on Lean production systems. Implementation recommendations in the form of case studies, research studies, and the role academia can play are also provided. Practitioners, research scholars, academicians, and those studying or working in the Industry 4.0 sector will find this book of interest.



Machine Learning Algorithms For Signal And Image Processing


Machine Learning Algorithms For Signal And Image Processing
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Author : Deepika Ghai
language : en
Publisher: John Wiley & Sons
Release Date : 2022-11-18

Machine Learning Algorithms For Signal And Image Processing written by Deepika Ghai and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-18 with Technology & Engineering categories.


Machine Learning Algorithms for Signal and Image Processing Enables readers to understand the fundamental concepts of machine and deep learning techniques with interactive, real-life applications within signal and image processing Machine Learning Algorithms for Signal and Image Processing aids the reader in designing and developing real-world applications using advances in machine learning to aid and enhance speech signal processing, image processing, computer vision, biomedical signal processing, adaptive filtering, and text processing. It includes signal processing techniques applied for pre-processing, feature extraction, source separation, or data decompositions to achieve machine learning tasks. Written by well-qualified authors and contributed to by a team of experts within the field, the work covers a wide range of important topics, such as: Speech recognition, image reconstruction, object classification and detection, and text processing Healthcare monitoring, biomedical systems, and green energy How various machine and deep learning techniques can improve accuracy, precision rate recall rate, and processing time Real applications and examples, including smart sign language recognition, fake news detection in social media, structural damage prediction, and epileptic seizure detection Professionals within the field of signal and image processing seeking to adapt their work further will find immense value in this easy-to-understand yet extremely comprehensive reference work. It is also a worthy resource for students and researchers in related fields who are looking to thoroughly understand the historical and recent developments that have been made in the field.