A Neural Network Approach for Signal Detection in Digital Communications

In this paper, we propose a new approach for signal detection in wireless digital communications based on the neural network with transient chaos and time-varying gain (NNTCTG), and give a concrete model of the signal detector after appropriate transformations and mappings. It is well known that the problem of the maximum likelihood signal detection can be described as a complex optimization problem that has so many local optima that conventional Hopfield-type neural networks fail to solve. By refraining from the serious local optima problem of Hopfield-type neural networks, the NNTCTG makes use of the time-varying parameters of the recurrent neural network to control the evolving behavior of the network so that the network undergoes the transition from chaotic behavior to gradient convergence. It has richer and more flexible dynamics rather than conventional neural networks only with point attractors, so that it can be expected to have much ability to search for globally optimal or near-optimal solutions. After going through a transiently inverse-bifurcation process, the NNTCTG can approach the global optimum or the neighborhood of global optimum of our problem. Simulation experiments have been performed to show the effectiveness and validation of the proposed neural network based method for the signal detection in digital communications.     

NMOS器件两次沟道注入杂质分布和阈电压计算

分别考虑了深浅两次沟道区注入杂质在氧化扩散过程中对表面浓度的贡献。对两次注入杂质的扩散分别提取了扩散系数的氧化增强系数、氧化衰减系数和有效杂地系数，给出了表面浓度与工艺参数之间的模拟关系式，以峰值浓度为强反型条件计算了开启电压，文章还给出了开启电压、氧化条件、不同注入组合之间的关系式。     

荧光显示管直丝氧化物阴极有效逸出功的计算

阴极的逸出功是表征阴极发射能力的物理量，求定荧光显示管直丝氧化物阴极有效逸出功时，因其零场发射电流密度难于准确取值，温度无法直接测量，显得困难，须予解决，为此提出了一种计算阴极有产逸出功的办法，对某显示管的发射欠佳和“低温高效”的两种氧化物阴极的有效逸出功进行计算，有效逸出功率是靠测量相关物理量再同计算得出，精度不很高，文中所用办法也不例外，但所得结果能反映阴极发射能力，所需仪器少，是实用方法。     

线性调频相干激光雷达的信号处理

分析了相干激光雷达线性调频脉冲的产生及其信号处理过程，讨论了该雷达信号体制的处理方法和结果。计算了采用匹配滤波和加权处理结果，对于1MHz／μs的调制速率信号的结果表明，激光相干雷达的测速和测距精度分别可达0.04m／s和0．57m.     

深亚微米MOSFET衬底电流的模拟与分析

利用器件模拟手段对深亚微米ＭＯＳＦＥＴ的衬底电流进行了研究和分析，给出了有效的道长度，栅氧厚度，源漏结深，衬底掺杂浓度以及电源电压对深亚微米ＭＯＳＦＥＴ衬底电流的影响，发现电源电压对深亚微米ＭＯＳＦＥＴ的衬底电流有着强烈的影响，热载流子效应随电源电压的降低而迅速减小，当电源电压降低到一定程度时，热载流子效应不再成为影响深亚微米ＭＯＳ电路可靠性的主要问题。     

一种新型电子显示屏的研制

本文介绍一种不同于磁性翻牌显示屏和ＬＥＤ显示屏的新型电子显示屏，采用非发光体，针对显示屏彩色和动画图象对象素的要求，讨论了显示屏象素的多面色体变换的电路设计及软件实现。     

COLLISION DETECTION AMONG MOVING OBJECTSIN MACHINING PROCESS SIMULATION

ＣＯＬＬＩＳＩＯＮＤＥＴＥＣＴＩＯＮＡＭＯＮＧＭＯＶＩＮＧＯＢＪＥＣＴＳＩＮＭＡＣＨＩＮＩＮＧＰＲＯＣＥＳＳＳＩＭＵＬＡＴＩＯＮＹａｎｇＨｅｍｉｎｇ；ＬｕＡｎｓｈｅｎｇ；ＺｈｏｕＪｉＣＯＬＬＩＳＩＯＮＤＥＴＥＣＴＩＯＮＡＭＯＮＧＭＯＶＩＮＧＯＢＪＥＣ...     

Mixed Mode VLSI Implementation of a Neural Associative Memory

A mixed mode digital/analog special purpose VLSI hardware implementation of an associative memory with neural architecture is presented. The memory concept is based on a matrix architecture with binary storage elements holding the connection weights. To enhance the processing speed analog circuit techniques are applied to implement the algorithm for the association. To keep the memory density as high as possible two design strategies are considered. First, the number of transistors per storage element is kept to a minimum. In this paper a circuit technique that uses a single 6-transistor cell for weight storage and analog signal processing is proposed. Second, the device precision has been chosen to a moderate level to save area as much as possible. Since device mismatch limits the performance of analog circuits, the impact of device precision on the circuit performance is explicitly discussed. It is shown that the device precision limits the number of rows activated in parallel. Since the input vector as well as the output vector are considered to be sparsely coded it is concluded, that even for large matrices the proposed circuit technique is appropriate and ultra large scale integration with a large number of connection weights is feasible.     

微机型漏电保护装置的抗干扰措施浅析

本文针对微机型漏电保护装置在工业运行环境下,可能遇到的干扰进行了分析,并提出了从硬件到软件一系列行之有效的抗干扰措施。