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Learning Approaches in Signal Processing Pan Stanford Series on Digital Signal Processing Series

Langue : Anglais

Coordonnateurs : Siu Wan-Chi, Chau Lap-Pui, Wang Liang, Tang Tieniu

Couverture de l’ouvrage Learning Approaches in Signal Processing

Coupled with machine learning, the use of signal processing techniques for big data analysis, Internet of things, smart cities, security, and bio-informatics applications has witnessed explosive growth. This has been made possible via fast algorithms on data, speech, image, and video processing with advanced GPU technology. This book presents  an up-to-date tutorial and overview on learning technologies such as random forests, sparsity, and low-rank matrix estimation and cutting-edge visual/signal processing techniques, including face recognition, Kalman filtering, and multirate DSP. It discusses the applications that make use of deep learning, convolutional neural networks, random forests, etc. The applications include super-resolution imaging, fringe projection profilometry, human activities detection/capture, gesture recognition, spoken language processing, cooperative networks, bioinformatics, DNA, and healthcare.

Tutorial And Overview Of Learning Approaches

Introduction to Random Tree and Random Forests for Fast Signal Processing and Object Classification

Wan-Chi Siu et al.

Sparsity Based Dictionary Learning Techniques

Raju Ranjan, Sumana Gupta, and K. S. Venkatesh

A Comprehensive Survey of Persistent Homology for Pattern Recognition

Zhen Zhou et al.

Low-Rank Matrix Estimation and Its Applications in Signal Processing and Machine Learning

Aimin Jiang and Hon Keung Kwan and Yanping Zhu

Introduction to Face Recognition and Its Recent Work

Tianrui Liu et al.

Filter Design And Multirate Signal Processing

The Ensemble Kalman Filter

Pedro A. M. Fonini and Paulo S. R. Diniz

Teaching Programming and Debugging Techniques for Multirate Signal Processing

Fred Harris and Chris Dick

Imaging Technologies

Learning Approaches for Super-Resolution Imaging

Wan-Chi Siu et al.

Non-Contact Three-Dimensional Measurement Using the Learning Approach

Daniel P. K. Lun and B. Budianto

Biometrics And Health Applications

Computational and Learning Aspects of DNA Sequences

Ngai-Fong Law

Visual Food Recognition for Dietary Logging and Health Monitoring

Sharmili Roy et al.

Motions In Videos, Pose Recognition And Human Activity Analysis

Learning Randomized Decision Trees for Human Behavior Capture

Zhen-Peng Bian et al.

Deep Learning in Gesture Recognition Based on sEMG Signals

P. Tsinganos et al.

Tutorial And Overview Of Learning Approaches

Introduction to Random Tree and Random Forests for Fast Signal Processing and Object Classification

Wan-Chi Siu et al.

Sparsity Based Dictionary Learning Techniques

Raju Ranjan, Sumana Gupta, and K. S. Venkatesh

A Comprehensive Survey of Persistent Homology for Pattern Recognition

Zhen Zhou et al.

Low-Rank Matrix Estimation and Its Applications in Signal Processing and Machine Learning

Aimin Jiang and Hon Keung Kwan and Yanping Zhu

Introduction to Face Recognition and Its Recent Work

Tianrui Liu et al.

Filter Design And Multirate Signal Processing

The Ensemble Kalman Filter

Pedro A. M. Fonini and Paulo S. R. Diniz

Teaching Programming and Debugging Techniques for Multirate Signal Processing

Fred Harris and Chris Dick

Imaging Technologies

Learning Approaches for Super-Resolution Imaging

Wan-Chi Siu et al.

Non-Contact Three-Dimensional Measurement Using the Learning Approach

Daniel P. K. Lun and B. Budianto

Biometrics And Health Applications

Computational and Learning Aspects of DNA Sequences

Ngai-Fong Law

Visual Food Recognition for Dietary Logging and Health Monitoring

Sharmili Roy et al.

Motions In Videos, Pose Recognition And Human Activity Analysis

Learning Randomized Decision Trees for Human Behavior Capture

Zhen-Peng Bian et al.

Deep Learning in Gesture Recognition Based on sEMG Signals

P. Tsinganos et

al. Measuring Precise Inter-Person Physiological Synchrony and Its Trends through Adaptive, Data-Driven Algorithms: Combining NA-MEMD and the Synchrosqueezing Transform to Identify Synchronised Respiratory and HRV Frequencies

Apit Hemakoma et al.

Language Processing, Cooperative Network And Communications

Multitask Cooperative Networks and their Diverse Applications

Saeid Sanei et al.

Spoken Language Processing: From Isolated Word Recognition to Neural Representation of Syntactical Structures, Based upon Kernel Memory

Tetsuya Hoya

Discussion On Ai For Healthcare

The Brave New World of Machine Paulina Chan and Stephen K. NgLearning in AI and Medicine

Paulina Chan and Stephen K. Ng

Measuring Precise Inter-Person Physiological Synchrony and Its Trends through Adaptive, Data-Driven Algorithms: Combining NA-MEMD and the Synchrosqueezing Transform to Identify Synchronised Respiratory and HRV Frequencies

Apit Hemakoma et al.

Language Processing, Cooperative Network And Communications

Multitask Cooperative Networks and their Diverse Applications

Saeid Sanei et al.

Spoken Language Processing: From Isolated Word Recognition to Neural Representation of Syntactical Structures, Based upon Kernel Memory

Tetsuya Hoya

Discussion On Ai For Healthcare

The Brave New World of Machine Learning in AI and Medicine

Paulina Chan and Stephen K. Ng

Date de parution :

15.2x22.9 cm

Disponible chez l'éditeur (délai d'approvisionnement : 13 jours).

Prix indicatif 268,18 €

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