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Bayesian Time Series Models
The first unified treatment of time series modelling techniques spanning machine learning, statistics, engineering and computer science.
Compressed Sensing & Sparse Filtering
This book is aimed at presenting concepts, methods and algorithms ableto cope with undersampled and limited data. One such trend that recently gained popularity and to some extent revolutionised signal processing is compressed sensing. Compressed sensing builds upon the observation that many signals in nature are nearly sparse (or compressible, as they are normally referred to) in some domain, and consequently they can be reconstructed to within high accuracy from far fewer observations than traditionally held to be necessary. Apart from compressed sensing this book contains other related approaches. Each methodology has its own formalities for dealing with such problems. As an example, in t...
Digital Audio Restoration
The application of digital signal processing (DSP) to problems in audio has been an area of growing importance since the pioneering DSP work of the 1960s and 70s. In the 1980s, DSP micro-chips became sufficiently powerful to handle the complex processing operations required for sound restoration in real-time, or close to real-time. This led to the first commer cially available restoration systems, with companies such as CEDAR Audio Ltd. in the UK and Sonic Solutions in the US selling dedicated systems world-wide to recording studios, broadcasting companies, media archives and film studios. Vast amounts of important audio material, ranging from historic recordings of the last century to relat...
Highly Structured Stochastic Systems
Through this text, the author aims to make recent developments in the title subject (a modern strategy for the creation of statistical models to solve 'real world' problems) accessible to graduate students and researchers in the field of statistics.
Independent Component Analysis and Blind Signal Separation
tionsalso,apartfromsignalprocessing,withother?eldssuchasstatisticsandarti?cial neuralnetworks. As long as we can ?nd a system that emits signals propagated through a mean, andthosesignalsarereceivedbyasetofsensorsandthereisaninterestinrecovering the originalsources,we have a potential?eld ofapplication forBSS and ICA. Inside thatwiderangeofapplicationswecan?nd,forinstance:noisereductionapplications, biomedicalapplications,audiosystems,telecommunications,andmanyothers. This volume comes out just 20 years after the ?rst contributionsin ICA and BSS 1 appeared . Thereinafter,the numberof research groupsworking in ICA and BSS has been constantly growing, so that nowadays we can estimate that far more than 100 groupsareresearchinginthese?elds. Asproofoftherecognitionamongthescienti?ccommunityofICAandBSSdev- opmentstherehavebeennumerousspecialsessionsandspecialissuesinseveralwell- 1 J.Herault, B.Ans,“Circuits neuronaux à synapses modi?ables: décodage de messages c- posites para apprentissage non supervise”, C.R. de l'Académie des Sciences, vol. 299, no. III-13,pp.525–528,1984.
Bayesian Robustness
None
Universal Access in Human-Computer Interaction. Users and Context Diversity
The three-volume set LNCS 9737-9739 constitutes the refereed proceedings of the 10th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2016, held as part of the 10th International Conference on Human-Computer Interaction, HCII 2016, in Toronto, ON, Canada in July 2016, jointly with 15 other thematically similar conferences. The total of 1287 papers presented at the HCII 2016 conferences were carefully reviewed and selected from 4354 submissions. The papers included in the three UAHCI 2016 volumes address the following major topics: novel approaches to accessibility; design for all and eInclusion best practices; universal access in architecture and product design; personal and collective informatics in universal access; eye-tracking in universal access; multimodal and natural interaction for universal access; universal access to mobile interaction; virtual reality, 3D and universal access; intelligent and assistive environments; universal access to education and learning; technologies for ASD and cognitive disabilities; design for healthy aging and rehabilitation; universal access to media and games; and universal access to mobility and automotive.
Universal Access in Human-Computer Interaction. Methods, Techniques, and Best Practices
The three-volume set LNCS 9737-9739 constitutes the refereed proceedings of the10th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2016, held as part of the 10th International Conference on Human-ComputerInteraction, HCII 2016, in Toronto, ON, Canada in July 2016, jointly with 15other thematically similar conferences. The total of 1287 papers presented at the HCII 2016 conferences were carefully reviewed and selected from 4354 submissions. The papers included in the three UAHCI 2016 volumes address the following major topics: novel approaches to accessibility; design for all and eInclusion best practices; universal access in architecture and product design; personal and collective informatics in universal access; eye-tracking in universal access; multimodal and natural interaction for universal access; universal access to mobile interaction; virtual reality, 3D and universal access; intelligent and assistive environments; universal access to education and learning; technologies for ASD and cognitive disabilities; design for healthy aging and rehabilitation; universal access to media and games; and universal access to mobility and automotive.
Unobserved Components and Time Series Econometrics
Presents original and up-to-date studies in unobserved components (UC) time series models from both theoretical and methodological perspectives.
The Oxford Handbook of Applied Bayesian Analysis
Bayesian Statistics is a dynamic and fast-growing area of statistical research with wide-ranging and far-reaching applications across science, technology, commerce, and industry. This Handbook explores contemporary Bayesian analysis across a variety of techniques and application areas.
