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Chip-Scale Low Power Analog Hardware Implemented Compressed Sensing and Target Detection Algorithms for Hyperspectral Imaging Applications

机译：芯片级低功耗模拟硬件实现了高光谱成像应用的压缩传感和目标检测算法

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Peter Petre;
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年度 2012
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1. Hardware-Algorithms Co-Design and Implementation of an Analog-to-Information Converter for Biosignals Based on Compressed Sensing [J] . Fabio Pareschi, Pierluigi Albertini, Giovanni Frattini, IEEE transactions on biomedical circuits and systems . 2016,第1期

机译：基于压缩感知的生物信号模数转换器硬件算法协同设计与实现
2. Hardware Implementation of Enhancement Embedded Reduced Runtime Recovery Algorithm for Compressively Sensed Images [J] . Florence Gnana Poovathy John, Radha Sankararajan Wireless personal communications: An Internaional Journal . 2018,第1期

机译：增强的硬件实现嵌入式减少了对压缩感测图像的减少运行时恢复算法
3. FPGA Implementation of an Algorithm for Automatically Detecting Targets in Remotely Sensed Hyperspectral Images [J] . Carlos González, Sergio Bernabé, Daniel Mozos, Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of . 2016,第9期

机译：用于自动检测遥感高光谱图像中目标的算法的FPGA实现
4. GPU Implementation of Target and Anomaly Detection Algorithms for Remotely Sensed Hyperspectral Image Analysis [C] . Abel Paz, Antonio Plaza Satellite data compression, communications, and processing VI . 2010

机译：遥感高光谱图像分析的目标和异常检测算法的GPU实现
5. Compressed Sensing Based Image Restoration Algorithm with Prior Information: Software and Hardware Implementations for Image-Guided Therapy. [D] . Jian, Yuchuan. 2012

机译：具有先验信息的基于压缩感知的图像恢复算法：图像指导治疗的软件和硬件实现。
6. Compressive Sensing Image Sensors-Hardware Implementation [O] . Mohammadreza Dadkhah, M. Jamal Deen, Shahram Shirani 2013

机译：压缩传感图像传感器-硬件实现
7. Hardware-Algorithms Co-Design and Implementation of an Analog-to-Information Converter for Biosignals Based on Compressed Sensing [O] . Fabio Pareschi, Pierluigi Albertini, Giovanni Frattini, 2016

机译：硬件算法基于压缩感测的生物资料中的模数到信息转换器的共同设计和实现
8. Detection Algorithms for Hyperspectral Imaging Applications. [R] . Manolakis, D. 2002

机译：高光谱成像应用的检测算法。

Chip-Scale Low Power Analog Hardware Implemented Compressed Sensing and Target Detection Algorithms for Hyperspectral Imaging Applications

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