Satellite Image Adaptive Restoration Using Periodic Plus Smooth Image Decomposition and Complex Wavelet Packet Transforms

A satellite image adaptive restoration method was developed that avoids ringing artifacts at the image boundary and retains oriented features. The method combines periodic plus smooth image decomposition with complex wavelet packet transforms. The framework first decomposes a degraded satellite image into the sum of a "periodic component" and a "smooth component". The Bayesian method is then used to estimate the modulation transfer function degradation parameters and the noise. The periodic component is deconvoluted using complex wavelet packet transforms with the deconvolution result of the periodic component then combined with the smooth component to get the final recovered result. Tests show that this strategy effectively avoids ringing artifacts while preserving local image details (especially directional textures) without amplifying the noise. Quantitative comparisons illustrate that the results are comparable with previous methods. Another benefit is that this approach can process large satellite images with parallel processing, which is important for practical use.     

基于分数低阶统计量的正交小波盲均衡算法

对于服从分数低阶Alpha稳定分布的非高斯信号,其二阶和高阶统计量都是不存在的。当环境噪声为这种噪声时,基于高阶统计量的常数模盲均衡算法(CMA)的均衡性能很差。为了克服环境噪声服从分数低阶Alpha稳定分布时,CMA的性能缺陷,提出了一种基于分数低阶统计量的正交小波盲均衡算法。该算法利用分数低阶统计量来抑制Alpha稳定噪声,根据最小分散系数准则优化盲均衡算法的权向量,并对均衡器输入信号进行正交小波变换,通过降低均衡器输入信号的自相关性来加快收敛速度。水声信道仿真结果表明,该算法性能明显优于CMA。     

Consecutive tracking for ballistic missile based on bearings-only during boost phase

This paper proposes a modified centralized shifted Rayleigh filter(MCSRF) algorithm for tracking boost phase of ballistic missile(BM) trajectory with a highly nonlinear dynamical model based on bearings-only.This paper contributes three folds.Firstly,the mathematical model of an MCSRF for multiple passive sensors is derived.Then,minimum entropy based onedimensional optimization search to adaptively adjust the probability of the different filters for real time state estimation is deployed.Finally,the unscented transform(UT) is introduced to resolve the asymmetric state estimation problem.Simulation results show that the proposed algorithm can consecutively track the BM precisely during the boost phase.In comparison with the unscented Kalman filter(UKF) algorithm,the proposed algorithm effectively reduces the tracking position and velocity root mean square(RMS) errors,which will make more sense for early precision interception.     

动态过程的复频域分析

从建立复频域电路定律和电路模型入手,把时域电路通过拉普拉斯变换为复频域电路模型,建立简单的代数方程,利用拉普拉斯反演,求得动态过程中的电路响应.这一方法免除了经典的解微分方程,求初始值的复杂过程,更重要的是解决了换路定律和基尔霍夫定律之间的矛盾,从而使电路动态过程的分析和解决变得简单快捷.     

求解地下水不稳定流问题的拉普拉斯变换有限元方法

本文探讨了求解地下水不稳定流问题的拉普拉斯变换有限元方法的原理及步骤,通过对理想模型的计算,并与解析解结果进行比较,结果表明这种方法是有效的。图2,表3,参3。     

超低频时域谱仪及其应用

根据因果律及线性响应理论研制超低频时域谱仪。采用国际优先数或等时间间隔取样,并在傅里叶变换前进行时域拟合。用纸介电容证明了唯象理论所预言的同一介质样品在不同的条件下应出现自由和随机两种不同的弛豫规律;对铁氧体蕊电感的研究,分出了线性和非线性项。     

H_2O_2抑制镍阴极长气孔的研究

本文通过对H_2O_2分解动力学性质的研究与溶液表面张力及稳态极化曲线的测定,探讨了H_2O_2在NiSO_4-Na_2SO_4-NaCl-H_3BO_4体系中的行为以及H_2O_2抑制氢气生成的根本原因,并提出有H_2O_2存在时,氢在镍电极表面放电符合均相平行转化机理。     

基于LPC预测误差DWT的语音基音检测

在对语音信号进行ＬＰＣ分析的基础上，提出了一种有效的语音基音周期检测算法。该算法利用小波变换中著名的Ｍａｌｌａｔ算法逐层分解ＬＰＣ预测误差信号，在最低分辨率的逼近信号中寻找峰值，然后逐层回溯各个分辨率的逼近信号，最后在ＬＰＣ预测误差中确定出峰值，从而求出相应的基音周期。