Area Allocation Strategies for Enhancing Yield of R-2R Ladders

A new strategy for allocating area, at layout, for enhancing the soft yield of R-2R ladders is introduced. In contrast to the conventional and convenient approach of allocating equal area to each R/2R bit-slice, the new strategy allocates progressively larger areas to higher-order bits. With this strategy, the INL yield for a fixed total resistor area as determined by local random variations in the sheet resistance is optimized. Simulation results show that the new area allocation strategy provides significant improvements in INL yield compared to what is achievable with the conventional area allocation strategy.     

基于位平面的彩色图像大容量信息隐藏方法

对彩色图像的R、G和B分量分别进行位平面分割,对较低层位平面直接进行数据替换实现数据嵌入,对较高层位平面首先按位平面进行分块,然后根据每个块中的数据特征进行数据嵌入,通过控制高位平面数据减少数据嵌入后像素值的改变量,实现彩色图像大容量信息隐藏。实验表明,在彩色图像中数据隐藏量达到45%以上,峰值信噪比(PSNR)可保持在36dB以上。     

LSB steganalysis of speech data based on distance measure and ML decision

Steganalysis can be used to classify an object whether or not it contains hidden information.In this article, is presented, a novel approach to detect the presence of least significant bit (LSB) steganographic messages in the voice secure communication system.A distance measure, which has proven to be sensitive to LSB steganography by analysis of variance (ANOVA), is denoted to estimate the difference between the host signal and the stego signal.Then an maximum likelihood (ML) decision is combined to form the classifier.Statistical experiments show that the proposed approach has a highly accurate rate and low computational complexity.     

移动定位的基本原理及技术研究

移动定位是指通过移动终端和移动网络的配合来确定用户的实际位置信息，并通过相关的短信及语音信号来完成一系列位置信息服务。获取移动定位信息的定位方法及技术已经成为当前的研究热点。本详细介绍移动定位的基本原理，并对移动定位的相关技术进行深入的研究与探讨。     

基于 RSA 与 LSB 算法的信息隐藏

信息隐藏技术将特定信息嵌入数字化宿主信息中,由于宿主信息呈现变化不大,不会引起监控者的注意和重视,从而减少了被攻击的可能性。为了提高信息隐藏效率与在非授权情况下提取信息的难度,提出将信息加密后进行隐藏,具有更高的安全性。在信息隐藏前对敏感信息进行了信息分割、RSA加密预处理;将控制信息也嵌入到BMP文件的图像数据区;实现了改进的LSB算法,并通过实验进行了验证。     

基于LSB数字水印算法的研究与实现

作为信息隐藏技术的一个具体表现形式,数字水印是一种有效的数字产品版权保护和数据安全维护技术,在版权保护、＂指纹＂识别、拷贝保护、广播监视等方面有重要的应用[1]。用LSB算法对水印进行了嵌入和提取,并用Matlab实现了水印算法的仿真。通过仿真结果可以看出,LSB算法不影响原始图像的视觉效果,而且水印提取效果也较好,说明LSB算法具有较好的稳健性和良好的水印不可见性。