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Design and Architecture for Signal and Image Processing: 18th International Workshop, DASIP 2025, Barcelona, Spain, January 2022, 2025, Proceedings [Pehme köide]

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  • Formaat: Paperback / softback, 133 pages, kõrgus x laius: 235x155 mm, 53 Illustrations, color; 6 Illustrations, black and white; XVI, 133 p. 59 illus., 53 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 15569
  • Ilmumisaeg: 01-Apr-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031878965
  • ISBN-13: 9783031878961
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Design and Architecture for Signal and Image Processing: 18th International Workshop, DASIP 2025, Barcelona, Spain, January 2022, 2025, ProceedingsSuurem pilt
  • Formaat: Paperback / softback, 133 pages, kõrgus x laius: 235x155 mm, 53 Illustrations, color; 6 Illustrations, black and white; XVI, 133 p. 59 illus., 53 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 15569
  • Ilmumisaeg: 01-Apr-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031878965
  • ISBN-13: 9783031878961
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783031878961.html
Märksõnad:
This book constitutes the refereed conference proceedings of the 18th International Workshop on Design and Architecture for Signal and Image Processing, DASIP 2025, held in Barcelona, Spain, during January 20-22, 2025. 



The 10 full papers included in this book were carefully reviewed and selected from 23 submissions.They were organized in topical sections as follows: Specialized Hardware Architecture for Efficient Processing; Efficient Processing using AI for Image, Vision and Signal Applications, and Analysis of Emerging Techniques for Signal Processing Applications.
.- Specialized Hardware Architecture for Efficient Processing.
.- CSD-Driven Speedup in RISC-V Processor.
.- Efficient FPGA implementation of ViT Non-Linear Functions.
.- LiFT: Lightweight,FPGA-tailored 3D object detection based on LIDAR data.
.- Efficient Processing using AI for Image, Vision and Signal Applications.
.- A practical HW-Aware NAS flow for AI vision applications on embedded
heterogeneous SoCs.
.- Endoscopy image classification for wireless cpasules with CNNs on
microcontroller-based platforms.
.- Joint Underwater Depth Estimation and Dehazing from Single Image using
Attention U-Net.
.- KD-AHOSVD: Neural Network Compression via Knowledge Distillation and
Tensor Decomposition.
.- Analysis of Emerging Techniques for Signal Processing Applications.
.- Novel scheduling and shifter networks for 5G LDPC decoders.
.- Comparison Between In-core Hardware IDS, Off-core Hardware IDS and
Software IDS.
.- Comparative Study of Memory Optimization Techniques for Dataflow-modeled
Applications.