Description

Book Synopsis

.- 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.

Design and Architecture for Signal and Image Processing

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    A Paperback by Jordane Lorandel

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      Publisher: Springer
      Publication Date: Publication Date: 01/04/2025
      ISBN13: 9783031878961, 978-3031878961
      ISBN10:
      Also in:
      Electronics engineering

      Description

      Book Synopsis

      .- 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.

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