Image denoising based on wavelets and multifractals for singularity detection.

This paper presents a very efficient algorithm for image denoising based on wavelets and multifractals for singularity detection. A challenge of image denoising is how to preserve the edges of an image when reducing noise. By modeling the intensity surface of a noisy image as statistically self-similar multifractal processes and taking advantage of the multiresolution analysis with wavelet transform to exploit the local statistical self-similarity at different scales, the pointwise singularity strength value characterizing the local singularity at each scale was calculated. By thresholding the singularity strength, wavelet coefficients at each scale were classified into two categories: the edge-related and regular wavelet coefficients and the irregular coefficients. The irregular coefficients were denoised using an approximate minimum mean-squared error (MMSE) estimation method, while the edge-related and regular wavelet coefficients were smoothed using the fuzzy weighted mean (FWM) filter aiming at preserving the edges and details when reducing noise. Furthermore, to make the FWM-based filtering more efficient for noise reduction at the lowest decomposition level, the MMSE-based filtering was performed as the first pass of denoising followed by performing the FWM-based filtering. Experimental results demonstrated that this algorithm could achieve both good visual quality and high PSNR for the denoised images.     

Frequency domain solution to delay-type Nehari problem

This paper generalizes the frequency-domain results on the delay-type Nehari problem in the stable case to the unstable case. The solvability condition of the delay-type Nehari problem is formulated in terms of the nonsingularity of three matrices. The optimal value γ_opt is the maximal γ∈(0,∞) such that one of the three matrices becomes singular. All sub-optimal compensators are parameterized in a transparent structure incorporating a modified Smith predictor.     

矿石中金的快速测定

研究了活性炭纤维滤布富集分离的条件和解脱方法,并利用微波溶样、液珠萃取比色法测定矿石中的金。该方法的测定范围为(0.5~xx)×10-6,相对标准偏差RSD为3.2%,可用于矿石中金的野外快速测定。     

用作图法测定R50的理论分析

研究了步、机枪射击密集度试验中弹着点半经的顺序统计量，给出了作图法测定Ｒ_（５０）的理论分析，得到了作图法是测定Ｒ_（５０）的好方法的结论．     

新型复合弹簧的研究

提出一种金属圆锥弹簧与橡胶圆锥弹簧复合而成的弹簧．分析表明：它可以应用于弹性耦合激励振动筛和座式直线振动筛。     

不锈钢管子—管板的激光焊接

试验研究了不锈钢的深溶焊接。研究了聚焦光束回转的光具。在工件不动的情况下,焊接管子—管板连接环缝。焊缝质量满足压力容器的要求,焊接效率大大提高。     

高分辨裂解气相色谱－质谱研究聚吡咙的热分解

用高分辨裂解气相色谱－质谱考察了不同聚吡咙的热分解，分析了其热分解产物的组成、分布和归属，研究了其环化过程以及该过程对热分解的影响，进而详细阐述了聚吡咙的热分解机理。     

行波管质量与可靠性信息管理系统的设计

本文从应用角度简要介绍了《行波管质量与可靠性信息管理系统》的研制背景，数据库的数据来源，数据结构，系统构成及功能特点。     

低合金高强度钢的微观组织和疲劳裂纹扩展行为

用透射电镜观察了３０ＣｒＭｎＳｉＮｉ２Ａ钢等温的微观组织，疲劳裂纹扩展行为、裂纹尖端塑性区和位错结构，结果表明，等温状态组织由马氏体和贝氏体组成。在一个奥氏体晶粒内一般存在四个板条领域、裂纹尖端的塑性区内存在主位错带，疲劳断裂的基本组织单元为板条晶或板条束。裂纹遇到板条束界时方向发生较大偏斜。     

爆破条件对爆破震动信号分析中小波包时频特征的影响

非平稳信号的小波包分析是在小波变换基础上发展起来的 ,它对小波分析中没有细分的高频部分进一步分解 ,从而能够对信号局部信息进行更为精细的掌握。爆破条件是影响爆破震动时频特征分布的主要因素之一。本研究中 ,针对在不同段药量、不同微差间隔时间及近似相同的其它条件下产生的爆破震动信号 ,运用小波包分析方法对其进行了时频分析 ,主要探讨了段药量、段微差间隔时间对爆破震动时频分布的影响规律。段药量对爆破震动波形时频特征的影响主要体现在各层小波包主振频带内的细节信号峰值质点振速方面 ,各细节信号的峰值质点振速随段药量增加而增大 ,但主振频带分布保持基本的一致性 ,同一主振频带下小波包细节信号的阻尼比也趋于一致 ;段微差时间间隔对爆破震动时频特征的影响主要表现在 :延长各主振频带小波包细节信号的振动持时 ,不同微差单段波形的叠加增加了主振频带个数 (优势频率个数 )并使各频带内的优势频率值有微弱增大的趋势