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On the impact of 3D integration on high-throughput sensor information processing: A case study with image sensing

机译:3D集成对高通量传感器信息处理的影响:带有图像传感的案例研究

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This paper presents a study for integrating a wavelet based image compression system in a 3D stack for wireless sensor node application. The high-bandwidth die-to-die interface from the vertical stacking of the sensor, the image buffer, and the signal-processing unit (SPU) is exploited for parallel processing. An image is divided into multiple segments, where each segment is compressed independently. However this method can negatively impact the compression ratio due to the length extension at the border of each segment. This paper explores the design space of the multi-segment architecture for the wavelet based image compression, including the number of segments, the operating frequency, and the supply voltage to reduce the power dissipation, and maintain a target image rate under varying channel condition. The effectiveness of the multi-segment implementation with 2D- versus 3D- integration is compared.
机译:本文提出了将基于小波的图像压缩系统集成到3D堆栈中以进行无线传感器节点应用的研究。来自传感器,图像缓冲区和信号处理单元(SPU)的垂直堆叠的高带宽管芯到管芯接口被用于并行处理。图像分为多个段,每个段被独立压缩。但是,由于每个段的边界处的长度扩展,此方法可能会对压缩率产生负面影响。本文探讨了基于小波的图像压缩的多段架构的设计空间,包括段数,工作频率和电源电压,以减少功耗并在变化的通道条件下保持目标图像速率。比较了具有2D和3D集成的多段实施的有效性。

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