Design and Architectures for Signal and Image Processing: 17th International Workshop, DASIP 2024, Munich, Germany, January 17–19, 2024, Proceedings: Lecture Notes in Computer Science, cartea 14622
Editat de Tiago Dias, Paola Busiaen Limba Engleză Paperback – 22 iun 2024
The 9 full papers presented in this book were carefully reviewed and selected from 21 submissions. The workshop provided an inspiring international forum for the latest innovations and developments in the fields of leading signal, image, and video processing and machine learning in custom embedded, edge, and cloud computing architectures and systems.
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Specificații
ISBN-13: 9783031628733
ISBN-10: 303162873X
Ilustrații: XVI, 123 p. 48 illus., 39 illus. in color.
Dimensiuni: 155 x 235 mm
Ediția:2024
Editura: Springer Nature Switzerland
Colecția Springer
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
ISBN-10: 303162873X
Ilustrații: XVI, 123 p. 48 illus., 39 illus. in color.
Dimensiuni: 155 x 235 mm
Ediția:2024
Editura: Springer Nature Switzerland
Colecția Springer
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
Cuprins
.- Specialized Hardware Architectures for Signal and Image Processing.
.- A Highly Configurable Platform for Advanced PPG Analysis.
.- sEMG-based Gesture Recognition with Spiking Neural Networks on Low-power FPGA.
.- Scalable FPGA Implementation of Dynamic Programming for Optimal Control of Hybrid Electrical Vehicles.
.- Optimization Approaches for Efficient Deployment of Signal and Image Processing Applications.
.- Wordlength Optimization for Custom Floating-point Systems.
.- An Initial Framework for Prototyping Radio-Interferometric Imaging Pipelines.
.- Scratchy: A Class of Adaptable Architectures with Software-Managed Communication For Edge Streaming Applications.
.- Digital Signal Processing Design for Reconfigurable Systems.
.- Standalone Nested Loop Acceleration on CGRAs for Signal Processing Applications.
.- Improving the Energy Efficiency of CNN Inference on FPGA using Partial Reconfiguration.
.- Optimising Graph Representation for Hardware Implementation of Graph Convolutional Networks for Event-based Vision.
.- A Highly Configurable Platform for Advanced PPG Analysis.
.- sEMG-based Gesture Recognition with Spiking Neural Networks on Low-power FPGA.
.- Scalable FPGA Implementation of Dynamic Programming for Optimal Control of Hybrid Electrical Vehicles.
.- Optimization Approaches for Efficient Deployment of Signal and Image Processing Applications.
.- Wordlength Optimization for Custom Floating-point Systems.
.- An Initial Framework for Prototyping Radio-Interferometric Imaging Pipelines.
.- Scratchy: A Class of Adaptable Architectures with Software-Managed Communication For Edge Streaming Applications.
.- Digital Signal Processing Design for Reconfigurable Systems.
.- Standalone Nested Loop Acceleration on CGRAs for Signal Processing Applications.
.- Improving the Energy Efficiency of CNN Inference on FPGA using Partial Reconfiguration.
.- Optimising Graph Representation for Hardware Implementation of Graph Convolutional Networks for Event-based Vision.