核磁共振弛豫信号的多指数反演

从第一类积分方程的反演求解入手,推导出适合于岩石核磁共振弛豫时间多指数反演的两种算法：奇异值分解（singular value decomposition）方法和变换反演算法.对算法的具体实现过程进行了详细的论述,从理论和实例处理两方面分析讨论了两种算法的优缺点.从解的自由度的角度,讨论解的分辨率及最优反演模型的选取原则：SVD算法适合于信噪比较高的数据反演,变换反演算法适应于较低信噪比的数据反演.在进行岩石核磁共振信号的多指数反演处理时,应优先选用变换反演算法,只有当原始数据的信噪比SNR≥80时,可选用SVD反演算法.为保证T₂反演结果的真实性,T₂布点数应在30～50个之间.[KG*2]研究内容对核磁共振岩心分析和核磁共振测井工作具有重要参考价值.     

基于S变换的地震信号降噪方法研究

S变换在分析非平稳信号时能有效地反映出频率随时间的变化,但由于其窗函数是固定不变的,在实际中应用受到了限制.从基本理论出发,推导出一种改进的S变换形式,并对合成信号分别进行傅立叶变换、s变换和改进的S变换,通过对比发现:改进的s变换方法能够更好地分辨非平稳信号的频率特性,比S变换具有更高的分辨率.最后应用改进的s变换方法对地震背景噪声数据进行了去噪处理,取得了较好的结果.     

小鼠视觉感受区电位信号(LFP)与视觉刺激之间关系研究

针对小鼠脑电波与行为之间关系研究中涉及弱脑电波信号处理、成分分离及提取、脑电波与对应行为分析等问题,首先处理了脑电波信号,根据呼吸机理建立了"呼"、"吸"动作电位触发下的脑电波模型.其次,通过独立分量分析方法获得睡眠状态小鼠视觉感受区LFP信号模型,采用区间估计和Rayleigh熵检验结合讨论了提取的相关脑电波与呼吸信号的锁相性,分析了LFP信号的周期性,建立了多元线性回归模型,用最小二乘法从理论上讨论了其线性关系,并检验了所建二次模型周期变化的相关性.然后,通过平均经验模态分解及基于互相关性的伪分量检验算法,改善了模态混叠,建立了完整的脑电波信号分离模型.最后,分析图形因素的图像特征,通过提取视觉刺激曲线、功率谱相关频段,采用叠加平均信号法,以LFP节律随视觉信号锁相程度判断不同视觉刺激引起的LFP成分变化.     

一类指数信号与正弦信号相乘的不定积分注记

针对两类不定积分I_1=∫e~(ax)cosbxdx和I_2=∫e~(ax)sinbxdx的分部积分常规求法,从指数信号与正弦信号相乘及复指数信号的角度进行分析,并给出一些特别的形变统一及记忆方法.     

过抽样信号的恢复

本文根据傅立叶分析和重抽样理论讨论了关于过抽样信号恢复的处理方法 ,所提出的重抽样信号恢复平均法对于强噪音背景下弱信号的提取 ,其效果是比较明显的     

小波理论在无单元方法中权函数研究的应用

小波理论中多分辨率分析(MRA),可以提供在不同分辨率下分析表达信息的有效途径．基于样条小波多分辨率分析,将无单元中的权函数投影到尺度空间去研究,尝试一种新的权函数研究方法,并给出了算例．     

部分支集已知的信号恢复

稀疏信号恢复是压缩感知的主要研究问题, 目前已经取得了非常丰富的成果. 而在实际应用中,往往有一些先验信息可以利用, 以提高恢复的效率, 减少测量次数. 本文主要讨论部分支集已知的稀疏或可压缩信号恢复问题, 提出了一个松弛零空间条件并且改进了保证信号稳定恢复的限制等距常数界.     

雷达测角信号的误差分析

<正> 众所周知,单脉冲雷达“和信号”S_Σ得到目标距,“差信号”S_△与“和信号”S_△之比S_△/S_Σ得到目标角度(即目标偏离波束主轴的角度).但是,由于接收机的内部噪声,我们所得到的信号并不是原来的真正的信号,而是迭加上接收机内部噪声干扰的信号.因此,雷达的工程设计需要人们提供一些参考公式,来分析由此产生的误差.这些公式有如下的一些作用:     

基于小波框架方法的信号重构

从含有噪音的离散样本中恢复连续信号是一个基本问题,它在信号,图像处理,医学工程,控制等领域发挥着重要作用.提出了一个基于小波框架方法的信号重构模型,并运用增广Lagrangian乘子法和加速近端梯度法来求解该模型,从而从混合或未知类型噪音的离散样本中恢复连续信号.进一步,给出了重构模型解的L_2范数误差分析.最后通过数值实验,从噪音样本中恢复连续信号,突出模型的有效性.     

基于双线性变换法的心磁信号降噪初探

利用心磁图来诊断心脏疾病是目前医学界的一种新方法.心磁信号在测量过程中往往会引入各种噪声,这将影响对心磁信号的进一步分析和计算.因此,降低噪声是心磁信号处理中的一个关键环节.利用双线性变换法对心磁信号的降噪处理进行了初步地研究,并结合一些实际的心磁数据进行了比较与分析,从而展现了该方法的实用性.     

矩阵值函数空间中尺度空间的稠密性

多分辨分析的概念在小波基构造中起着非常重要的作用,并经历了从经典多分辨分析到多重多分辨分析,再到矩阵值多分辨分析的研究历程.本文基于矩阵值多分辨分析,研究并给出了矩阵值函数空间中尺度空间稠密性的两个充要条件,并在此基础之上得到了稠密性的两个充分条件.     

A sampling theorem with error estimation for S-transform

S-transform (ST) is an extension of wavelet transform (WT) and short-time Fourier transform (STFT). The ST is depended on a scalable and moving Gaussian window. It overcomes the low-resolution factor of STFT and tackles with a lack of phase in WT. The ST is a useful tool for signal processing and analysis. In this paper, the multiresolution analysis (MRA) related with ST is introduced and after that a sampling theorem associated with ST is proposed which is based on multiresolution subspace. Additionally, truncation and aliasing error generated due to the sampling process, are also derived. The theoretical determinations are exhibited and validated using simulation results.     

Sobolev空间上多尺度分析的性质

对Sobolev空间上多尺度分析的性质进行了探讨,给出了稠密性条件的一个特征刻划。     

COMPLEXITY,MULTIRESOLUTION, NON-STATIONARITY AND ENTROPIC SCALING: TEEN BIRTH THERMODYNAMICS

This paper presents a statistical methodology for analyzing a complex phenomenon in which deterministic and scaling components are superimposed. Our approach is based on the wavelet multiresolution analysis combined with the scaling analysis of the entropy of a time series. The wavelet multiresolution analysis decomposes the signal in a scale-by-scale manner. The scale-by-scale decomposition generates smooth and detail curves that are evaluated and studied. A wavelet-based smoothing filtering is used to estimate the daily birth rate and conception rate during the year. The scaling analysis is based on the Diffusion Entropy Analysis (DEA). The joint use of the DEA and the wavelet multiresolution analysis allows: 1) the separation of the deterministic and, therefore, non-scaling component from the scaling component of the signal; 2) the determination of the stochastic information characterizing the teen birth phenomenon at each time scale. The daily data cover the number of births phenomenon at each time scale. The daily data cover the number of births to teens in Texas during the period 1964-1999.     

An algebraic approach to multiresolution analysis

The notion of a weak multiresolution analysis is defined over an arbitrary field in terms of cyclic modules for a certain affine group ring. In this setting the basic properties of weak multiresolution analyses are established, including characterizations of their submodules and quotient modules, the existence and uniqueness of reduced scaling equations, and the existence of wavelet bases. These results yield some standard facts on classical multiresolution analyses over the reals as special cases, but provide a different perspective by not relying on orthogonality or topology. Connections with other areas of algebra and possible further directions are mentioned.

     

Sobolev空间H~s(R~n)上矩阵伸缩的多尺度分析特征刻画

本文对高维Sobolev空间Hs(Rn)上具有矩阵伸缩的多尺度分析特征进行了 刻划,特别给出了稠密性特征的一个充分必要条件,从而解决了文献[4]中提出的一个 问题.所得结果覆盖了这方面的已知结论.     

Data compression based on the cubic B-spline wavelet with uniform two-scale relation

The aim of this paper is to investigate the potential artificial compression which can be achieved using an interval multiresolution analysis based on a semiorthogonal cubic B-spline wavelet. The Chui-Quak [1] spline multiresolution analysis for the finite interval has been modified [2] so as to be characterized by natural spline projection and uniform two-scale relation. Strengths and weaknesses of the semiorthogonal wavelet as regards artificial compression and data smoothing by the method of thresholding wavelet coefficients are indicated.     

一类紧支撑矩阵值正交小波的构造

In this paper,we introduce matrix-valued multiresolution analysis and orthogonal matrix-valued wavelets.We obtain a necessary and sufficient condition on the existence of orthogonal matrix-valued wavelets by means of paraunitary vector filter bank theory.A method for constructing a class of compactly supported orthogonal matrix-valued wavelets is proposed by using multiresolution analysis method and matrix theory.     

向量值双正交小波的存在性及滤波器的构造

引进了向量值多分辨分析与向量值双正交小波的概念.讨论了向量值双正交小波的存在性.运用多分辨分析和矩阵理论,给出一类紧支撑向量值双正交小波滤波器的构造算法.最后,给出4-系数向量值双正交小波滤波器的的构造算例.     

Quasi-Biorthogonal Frame Multiresolution Analyses and Wavelets

We introduce the concepts of quasi-biorthogonal frame multiresolution analyses and quasi-biorthogonal frame wavelets which are natural generalizations of biorthogonal multiresolution analyses and biorthogonal wavelets, respectively. Necessary and sufficient conditions for quasi-biorthogonal frame multiresolution analyses to admit quasi-biorthogonal wavelet frames are given, and a non-trivial example of quasi-biorthogonal frame multiresolution analyses admitting quasi-biorthogonal frame wavelets is constructed. Finally, we characterize the pair of quasi-biorthogonal frame wavelets that is associated with quasi-biorthogonal frame multiresolution analyses.