Computational Pulse Signal Analysis, David Zhang; Wangmeng Zuo; Peng Wang

Автор: Asoke K. Nandi; N Sujatha; R Menaka; John Sahaya R
Название: Computational Signal Processing and Analysis
ISBN: 9811341311 ISBN-13(EAN): 9789811341311
Издательство: Springer
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Цена: 167700.00 T
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Описание: This book comprises a collection of papers by international experts, presented at the International Conference on NextGen Electronic Technologies (ICNETS2-2017). ICNETS2 encompassed six symposia covering all aspects of electronics and communications engineering domains, including relevant nano/micro materials and devices. Featuring the latest research on computational signal processing and analysis, the book is useful to researchers, professionals, and students working in the core areas of electronics and their applications, especially signal processing, embedded systems, and networking.

Автор: David Zhang; Wangmeng Zuo; Peng Wang
Название: Computational Pulse Signal Analysis
ISBN: 9811040435 ISBN-13(EAN): 9789811040436
Издательство: Springer
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Цена: 111790.00 T
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Описание: This book describes the latest advances in pulse signal analysis and their applications in classification and diagnosis. First, it provides a comprehensive introduction to useful techniques for pulse signal acquisition based on different kinds of pulse sensors together with the optimized acquisition scheme.

Автор: Mona E. Zaghloul; Jack L. Meador; Robert W. Newcom
Название: Silicon Implementation of Pulse Coded Neural Networks
ISBN: 1461361524 ISBN-13(EAN): 9781461361527
Издательство: Springer
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Цена: 139750.00 T
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Описание: When confronted with the hows and whys of nature`s computational engines, some prefer to focus upon neural function: addressing issues of neural system behavior and its relation to natural intelligence.

Автор: Thomas Lindblad; Jason M. Kinser
Название: Image Processing using Pulse-Coupled Neural Networks
ISBN: 3642440339 ISBN-13(EAN): 9783642440335
Издательство: Springer
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Цена: 121890.00 T
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Описание: This book reviews the neural theory and translates them into digital models. It gives applications in image recognition, foveation, image fusion and information extraction, and includes Python scripts that help readers replicate results presented in the text.

Автор: Joseph Shiloh; Benjamin Mandelbaum; Ehud Heyman
Название: Ultra-Wideband Short-Pulse Electromagnetics 4
ISBN: 1475786336 ISBN-13(EAN): 9781475786330
Издательство: Springer
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Цена: 186330.00 T
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Описание: In the tradition of the previous three conferences, the proceedings of the 4th Ultra-Wideband Short-Pulse Electromagnetics Conference explores topics including pulse generation and detection; broadband electronic systems; antennas - theory, design, experiments and systems; scattering theory; and buried targets - detection and identification.

Автор: Thomas Lindblad; Jason M. Kinser
Название: Image Processing Using Pulse-Coupled Neural Networks
ISBN: 3642063438 ISBN-13(EAN): 9783642063435
Издательство: Springer
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Цена: 97820.00 T
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Описание: and Theory.- Theory of Digital Simulation.- Automated Image Object Recognition.- Image Fusion.- Image Texture Processing.- Image Signatures.- Miscellaneous Applications.- Hardware Implementations.

Автор: Moss Ma MD Sandra
Название: Writing the Pulse: The Origins and Career of the Sphygmograph and Its American Masters
ISBN: 1543463576 ISBN-13(EAN): 9781543463576
Издательство: Неизвестно
Цена: 27580.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The sphygmograph was one of the promising instruments of precision that captured the imagination of mid- and late-nineteenth-century physicians eager to plumb the secrets of the circulatory system. Literally a pulse writer, the sphygmograph allowed physicians to study a permanent record (sphygmogram) of the contours and rhythms of the pulse wave. The early masters of the sphygmograph were hopeful that images of the pulse at the wrist could reveal much about the action of the heart and major blood vessels that would prove useful in research and practice. Although the sphygmograph proved to be a frustrating instrument and its pulse recordings confusing, it prepared early twentieth-century physicians to embrace more reliable technologies such as the sphygmomanometer (blood pressure cuff) and the electrocardiograph. This book traces the European invention, development, and application of the sphygmograph before turning to a detailed study of the novel instruments and clinical investigations of three heretofore unremarked American sphygmograph men and the role of the sphygmograph in American medical practice, most notably in the hands of Dr. Mary Putnam Jacobi. A final chapter examines the pervasive problems of the sphygmograph in the context of recent literature on apparent failures of technology.

Автор: Thomas Lindblad; Jason M. Kinser
Название: Image Processing using Pulse-Coupled Neural Networks
ISBN: 364236876X ISBN-13(EAN): 9783642368769
Издательство: Springer
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Цена: 139310.00 T
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Описание: This book reviews the neural theory and translates them into digital models. It gives applications in image recognition, foveation, image fusion and information extraction, and includes Python scripts that help readers replicate results presented in the text.

Автор: Tuomas Virtanen; Mark D. Plumbley; Dan Ellis
Название: Computational Analysis of Sound Scenes and Events
ISBN: 3319875590 ISBN-13(EAN): 9783319875590
Издательство: Springer
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Цена: 167700.00 T
Наличие на складе: Поставка под заказ.
Описание: This book presents computational methods for extracting the useful information from audio signals, collecting the state of the art in the field of sound event and scene analysis. The authors cover the entire procedure for developing such methods, ranging from data acquisition and labeling, through the design of taxonomies used in the systems, to signal processing methods for feature extraction and machine learning methods for sound recognition. The book also covers advanced techniques for dealing with environmental variation and multiple overlapping sound sources, and taking advantage of multiple microphones or other modalities. The book gives examples of usage scenarios in large media databases, acoustic monitoring, bioacoustics, and context-aware devices. Graphical illustrations of sound signals and their spectrographic representations are presented, as well as block diagrams and pseudocode of algorithms.

Автор: Nandi
Название: Computational Signal Processing and Analysis
ISBN: 9811083533 ISBN-13(EAN): 9789811083532
Издательство: Springer
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Цена: 167700.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Featuring the latest research on computational signal processing and analysis, the book is useful to researchers, professionals, and students working in the core areas of electronics and their applications, especially signal processing, embedded systems, and networking.

Автор: Tuomas Virtanen; Mark D. Plumbley; Dan Ellis
Название: Computational Analysis of Sound Scenes and Events
ISBN: 3319634496 ISBN-13(EAN): 9783319634494
Издательство: Springer
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Цена: 149060.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents computational methods for extracting the useful information from audio signals, collecting the state of the art in the field of sound event and scene analysis. The authors cover the entire procedure for developing such methods, ranging from data acquisition and labeling, through the design of taxonomies used in the systems, to signal processing methods for feature extraction and machine learning methods for sound recognition. The book also covers advanced techniques for dealing with environmental variation and multiple overlapping sound sources, and taking advantage of multiple microphones or other modalities. The book gives examples of usage scenarios in large media databases, acoustic monitoring, bioacoustics, and context-aware devices. Graphical illustrations of sound signals and their spectrographic representations are presented, as well as block diagrams and pseudocode of algorithms.

Автор: Dajiang Zhu; Jingwen Yan; Heng Huang; Li Shen; Pau
Название: Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy
ISBN: 303033225X ISBN-13(EAN): 9783030332259
Издательство: Springer
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Цена: 54030.00 T
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Описание: MBIA.- Non-rigid Registration of White Matter Tractography Using Coherent Point Drift Algorithm.- An Edge Enhanced SRGAN for MRI Super Resolution in Slice-selection Direction.- Exploring Functional Connectivity Biomarker in Autism Using Group-wise Sparse Representation.- Classifying Stages of Mild Cognitive Impairment via Augmented Graph Embedding.- Mapping the spatio-temporal functional coherence in the resting brain.- Species-Preserved Structural Connections Revealed by Sparse Tensor CCA.- Identification of Abnormal Cortical 3-hinge Folding Patterns on Autism Spectral Brains.- Exploring Brain Hemodynamic Response Patterns Via Deep Recurrent Autoencoder.- 3D Convolutional Long-short Term Memory Network for Spatiotemporal Modeling of fMRI Data.- Biological Knowledge Guided Deep Neural Network for Genotype-Phenotype Association Study.- Learning Human Cognition via fMRI Analysis Using 3D CNN and Graph Neural Network.- CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation.- BrainPainter: A software for the visualisation of brain structures, biomarkers and associated pathological processes.- Structural Similarity based Anatomical and Functional Brain Imaging Fusion.- Multimodal Brain Tumor Segmentation Using Encoder-Decoder with Hierarchical Separable Convolution.- Prioritizing Amyloid Imaging Biomarkers in Alzheimer's Disease via Learning to Rank.- MFCA.- Diffeomorphic Metric Learning and Template Optimization for Registration-Based Predictive Models.- 3D mapping of serial histology sections with anomalies using a novel robust deformable registration algorithm.- Spatiotemporal Modeling for Image Time Series with Appearance Change: Application to Early Brain Development.- Surface Foliation Based Brain Morphometry Analysis.- Mixture Probabilistic Principal Geodesic Analysis.- A Geodesic Mixed Effects Model in Kendall's Shape Space.- An as-invariant-as-possible GL+(3)-based Statistical Shape Model.