Gradient-based recursive parameter estimation for a periodically nonuniformly sampled-data Hammerstein–Wiener system based on the key-term separation

The identification of the Hammerstein–Wiener (H-W) systems based on the nonuniform input–output dataset remains a challenging problem. This article studies the identification problem of a periodically nonuniformly sampled-data H-W system. In addition, the product terms of the parameters in the H-W system are inevitable. In order to solve the problem, the key-term separation is applied and two algorithms are proposed. One is the key-term-based forgetting factor stochastic gradient (KT-FFSG) algorithm based on the gradient search. The other is the key-term-based hierarchical forgetting factor stochastic gradient (KT-HFFSG) algorithm. Compared with the KT-FFSG algorithm, the KT-HFFSG algorithm gives more accurate estimates. The simulation results indicate that the proposed algorithms are effective.     

Complexity of the color appearance of objects with nonuniform illumination

An inversion relationship is clarified between lightness and brightness, and also between chroma and colorfulness under nonuniform illumination with different illuminance levels (high and low) within the same visual field. Brightness (or colorfulness) of object color with low lightness (or chroma) under high illuminance level is perceived higher than that of another object color with high lightness (or chroma) under low illuminance level. Two color images are given for showing the inversion phenomena on brightness–lightness and colorfulness–chroma between object colors under different illuminance levels. These color images are useful for making researchers on color understand the differences in concept between brightness and lightness, and also between colorfulness and chroma. In particular, the concept of colorfulness is important, but difficult to understand. © 2007 Wiley Periodicals, Inc. Col Res Appl, 32, 372–377, 2007     

一种基于小波变换的非均匀量化索引调制水印算法

为了提高数字水印的稳健性与不可见性,将图像小波变换与量化索引调制算法相结合,提出了一种基于小波变换的非均匀量化索引调制数字水印算法。该算法对原始图像进行离散小波变换,将中频小波系数分成3×3的系数子块作为水印载体,对子块的系数均值采用非均匀量化索引调制,实现二值水印的嵌入。根据人类视觉特性,不同的系数子块采用不同的量化间隔并自适应于子块内相邻系数的差值。实验结果表明,该算法透明性好,安全性高,对高斯白噪声、剪切、滤波以及JPEG压缩等常见攻击具有较强的稳健性。     

基于最小跳数的WSN非均匀分布的路由算法*

针对无线传感器网络节点能耗分布不均衡的问题,采用非均匀分布策略部署节点,提出一种新的路由算法。该算法通过在网络中建立最小跳数场和路径节点最小能量场,使得信息包沿着能耗最优的路径向sink节点发送。通过仿真实验表明,该算法在能量节省、能耗均衡和提高网络生存期方面具有明显的优势,进而能够缓解能量空洞问题。     

Reconstruction of N-th order nonuniformly sampled bandlimited signals using digital filter banks

In this paper, a digital filter bank structure is proposed for the reconstruction of uniformly sampled bandlimited signals from their N-th order nonuniform samples. The proposed filter bank structure is arrived at after incorporating polyphase-domain filtering operations and discrete Fourier transform (DFT) modulation to an existing filter bank framework.In this paper, an idea is also presented, so that uniform samples can be reconstructed from N-th order nonuniform samples using the structures based on recurrent nonuniform sampling. A comparison of the computational complexity and the signal-to-noise ratio (SNR) performance is also given for various structures existing in the literature.     

使用非均匀量化的Hough空间进行直线段检测

分析图像中最近邻直线间距离和夹角的非均匀性,得到这两个参数与线段方向和长度的相关关系,并由此提出了非均匀量化Hough空间的直线检测算法NUHT (Nonuniform Hough Transform).实验结果表明,NUHT在不降低运算效率的情况下,有2倍于标准Hough变换SHT (Standard Hough Transform)的直线段检测能力,同时误报率低于SHT的1/2.     

参数稀疏信号非均匀采样性能分析

提出了一种参数稀疏信号的时间交替周期非均匀采样方案。相对于非均匀采样,周期非均匀采样可以在降低系统复杂度的前提下依然保持较高的转换速率。通过仿真证明,非均匀采样样本的超分辨率特性可以提高非线性最小二乘周期图谱估计的重构性能。     

数字散斑相关法在SEM观测岩石变形时的应用

通过带扫描电镜的伺服实验机对岩石进行了原位拉伸观测实验,实时采集了岩石变形破坏过程中表面细观形貌的扫描电镜(SEM)照片.将亚像素插值和相关系数插值相结合,有效提升了数字散斑相关法的搜索效率和计算精度,并通过自行研发的数字散斑相关方法(DSCM)程序实现了岩石SEM图像中微小变形的分析计算.通过对比实验测定结果和软件计算结果,验证了算法的有效性.结果表明:岩石变形具有明显的非均匀性,在整体受拉的情况下局部出现受压区,其原因在于应力集中或损伤软化现象,且随着载荷的增加,损伤逐渐加剧并导致应变集中,从而诱发断裂.     

聚光光伏高能流密度不均匀传热的热管散热器设计与计算

考虑到聚光电池表面的高辐射能流密度,相应的热沉温度分布的不均匀性,以及传统热管散热的局限性,设计了一种特殊结构形式的热管组以用于聚光电池散热。通过对其进行数值计算,比较了在不同倾角下热管组的压力场、速度场、温度场、以及相体积分数的分布情况,并将该型热管与普通热管的计算结果相比较,发现该型热管在预防携带极限和干涸极限的发生方面确实要优于普通热管。设计的热管组在高辐射能流密度的条件,消融温度的不均匀性将会起到很好的效果。     

信源统计特性的最优量化器设计与性能分析

文章讨论在模拟信源量化过程中，已知输入量化器的信号幅度统计特性时，如何采用标量量化使量化器达到最优，从而使量化失真达到最小。在对量化器优化设计的理论分析的基础上，以高斯分布特征的信源进行了最优标量量化，并得到了性能曲线，与香农率失真定理指出的理论下界进行了对比，所得出的分析方法以及结论对量化器工程应用具有一定的价值。