高密度互连印制板

本文阐述了RCC材料与化学蚀刻法制作高密度互连印制板的工序和详细方法,意在探寻最为经济、简单而又行 之有效的工艺。     

Blind Channel Identification Based on Noisy Observation by Stochastic Approximation Method

A stochastic approximation algorithm for estimating multichannel coefficients is proposed, and the estimate is proved to converge to the true parameters a.s. up-to a constant scaling factor. The estimate is updated after receiving each new observation, so the output data need not be collected in advance. The input signal is allowed to be dependent and the observation is allowed to be corrupted by noise, but no noise statistics are used in the estimation algorithm.     

基于运动矢量的视频图象数字水印算法

数字水印技术是近年发展起来的一种用于数字产品版权保护和真伪性论证的新兴技术。与静止图象相比，视频水印技术要满足盲检的要求。本文根据运动矢量的特征值ρl，提出了一种视频图象水印新算法。实验结果表明，所提出的水印算法简单、快速，能满足视频编码的实时性要求；算法与现有的视频压缩标准有很好的兼容性；水印的提取具有盲检功能，无需原图象；水印的嵌入不影响I帧的图象质量，与嵌入水印前的原压缩图象相比，嵌入水印后的视频图象信噪比损失很小。     

自干扰抵消盲空时DS-CDMA信号检测技术

针对传统单用户检测器存在远近效应和性能下界问题,近年来提出的一系列最大SINR准则盲空时RAKE接收机,可以较好地合并期望用户的多径分量,同时抑制多址干扰用户能量.本文对这类接收机进行了进一步的研究,提出了一种自干扰抵消方法,更有效地克服了单用户检测器存在的性能下界以及远近效应问题.仿真结果验证了本文方法的有效性.     

CDMA时变色散信道的两级盲辨识算法

本文通过对时变信道的扩展函数在时频域进行正则采样，得到了CDMA时变系统的离散正则模型。针对该模型提出了一种具有较低运算量的两级盲辨识算法。为避免两级算法产生的误差传播效应，文章将理想SIMO模型等效为加性噪声模型来处理。与基展开模型方法相比，该算法具有不需利用观测数据的高阶统计量估计展开基频率的优点。文章通过仿真验证了该算法是可行的。     

Hebbian无导师学习原理的盲均衡：（Ⅱ）非最小相位通道

本文介绍了根据信号码的相互独立性，利用噪声情况下盲信号分离的原理，实现非最小相位通道特性的盲均衡。     

Voigt线型的微分消卷积

通过频域内的近似处理得到了洛仑兹线型微分消卷积的实用算符。推广到高斯、洛仑兹线型的复合情形即Ｖｏｉｇｔ线型，亦可得到它的消卷积算符。把所得算符应用于单峰、多峰情形，对各种不同的组合形式，分别得到了消卷积谱，其分辨率提高因子Ｋ与复合线型中洛仑兹成分的多少有关。     

HREELS signal processing via wavelets

In spectroscopy, the recorded spectra can often be modelled as the noisy convolution product of an instrumental function with the ‘true’ signal to be estimated. Such models have often been used for high‐resolution electron energy‐loss spectroscopy (HREELS). In this article, a new method is suggested to estimate the ‘true’ HREELS signal, i.e. the original electronic diffusion function with ‘true’ peak intensities. Our method relies upon the use of wavelets that, because they exhibit simultaneous time and frequency localization, are well‐suited for signal analysis. Firstly, a wavelet shrinkage algorithm is used to filter the noise. This is achieved by decomposing the noisy signal into an appropriate wavelet basis and then thresholding the wavelet coefficients that contain noise. This algorithm has a particular threshold related to frequency and time. Secondly, the broadening due to the instrumental response is eliminated through a deconvolution process. This step mainly rests on the existing relation between the Lipschitz regularity of the signal and the decay with scale of its wavelet coefficients and on least squares. The efficiency of this technique is highlighted by comparing the results obtained with those provided by other published methods. This work is the second in a series of three papers in this issue. The first one presents background knowledge on the wavelets required to understand the estimation methods. The third paper explores the application of wavelet filtering and deconvolution techniques to x‐ray photoelectron spectroscopy. Copyright © 2004 John Wiley & Sons, Ltd.     

高厚径比盲孔电镀

盲孔能够大大的增加板的密度,从而减小板面积。介绍了有关高厚径比盲孔电镀的有关工艺,从激光钻孔、金属化孔和电镀几个方面对孔径4mil以上的盲孔电镀进行了研究。     

Model-Free Analysis of Mixtures by NMR Using Blind Source Separation

The concept of blind source separation is described and examples of its use in 1D and 2D NMR spectroscopy are presented. The goal of this data processing method is to extract the spectra of components molecules when only mixtures are available.