Advances in neuron-MOS applications
Advances in neuron-MOS applications
复制标题
神经元-MOS应用的进展
DOI：
10.1109/isscc.1996.488629
复制
发表时间：
1996
期刊：
影响因子：
--
通讯作者：
T. Ohmi
中科院分区：
文献类型：
--
作者：
T. Shibata;T. Nakai;Ning Mei Yu;Y. Yamashita;M. Konda;T. Ohmi
本文展示了如何利用神经元-MOS(/SPL UPSI/MOS)电路技术，以较少的硬件实时处理像图像处理这样计算量大的问题。在数字信号处理中，真实世界的数据(模拟、海量、低精度和模糊)在采集时进行A/D转换，包括固有的噪声和失真，然后基于严格的布尔代数逐位计算。例如，在运动图像处理中，这需要DSP和MPU的非凡计算能力，这使得电子系统的实时响应变得不现实。引入模拟处理将会降低难度，但必须以成本换取精确度。使用/SPL UPSI/MOS电路的模拟/数字合并计算既具有模拟处理的灵活性，又保留了数字处理的严密性。对大量模拟输入数据执行高度并行的模拟处理，紧随其后的是/SPL UPSI/MOS门的二进制判决，导致数字代码的输出。真实世界的数据直接压缩成数字代码，而不需要进行A/D转换。在几百纳秒内的运动矢量搜索、运动对象的实时质心跟踪和构建实时事件识别硬件的应用中，该方案的能力得到了证明。
This paper shows how computationally-expensive problems like image processing can be handled in real time with little hardware by neuron-MOS (/spl upsi/MOS) circuit technology. In digital signal processing, real-world data (analog, massive in quantities, low-precision and ambiguous) are A/D converted upon acquisition, including inherent noise and distortion, and then are bit-by-bit computed based on rigorous Boolean algebra. In moving-image processing for instance, this requires extraordinary computational powers of DSPs and MPUs, making real-time response of electronic systems unrealistic. Introduction of analog processing would lessen the difficulty, but cost must be traded off for accuracy. Analog/digital merged computation using /spl upsi/MOS circuits features the flexibility of analog processing but preserving the rigorousness of digital. Highly-parallel analog processing is performed for a large volume of analog input data, that is immediately followed by the binary decision of /spl upsi/MOS gates, resulting in the output of digital codes. Real-world data are directly compressed to digital codes without A/D conversion. The power of this scheme is demonstrated in applications to motion vector search in a few hundred nanoseconds and real-time center-of-mass tracing of a moving object and to building real-time event recognition hardware.