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Design and Architecture for Signal and Image Processing

Overview of attention for book
Design and Architecture for Signal and Image Processing
Springer Nature Switzerland

Table of Contents

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    Book Overview
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    Chapter 1 SCAPE: HW-Aware Clustering of Dataflow Actors for Tunable Scheduling Complexity
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    Chapter 2 Deep Recurrent Neural Network Performing Spectral Recurrence on Hyperspectral Images for Brain Tissue Classification
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    Chapter 3 Brain Blood Vessel Segmentation in Hyperspectral Images Through Linear Operators
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    Chapter 4 Neural Network Predictor for Fast Channel Change on DVB Set-Top-Boxes
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    Chapter 5 AINoC: New Interconnect for Future Deep Neural Network Accelerators
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    Chapter 6 Real-Time FPGA Implementation of the Semi-global Matching Stereo Vision Algorithm for a 4K/UHD Video Stream
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    Chapter 7 TaPaFuzz - An FPGA-Accelerated Framework for RISC-V IoT Graybox Fuzzing
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    Chapter 8 Adaptive Inference for FPGA-Based 5G Automatic Modulation Classification
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    Chapter 9 High-Level Online Power Monitoring of FPGA IP Based on Machine Learning
Attention for Chapter 7: TaPaFuzz - An FPGA-Accelerated Framework for RISC-V IoT Graybox Fuzzing
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Chapter title
TaPaFuzz - An FPGA-Accelerated Framework for RISC-V IoT Graybox Fuzzing
Chapter number 7
Book title
Design and Architecture for Signal and Image Processing
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-29970-4_7
Book ISBNs
978-3-03-129969-8, 978-3-03-129970-4
Authors

Meisel, Florian, Volz, David, Spang, Christoph, Tran, Dat, Koch, Andreas

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