Iterative Wiener deconvolution based method for phase retrieval from noisy intensities

To retrieve the phase from the noisy measured intensities in the diffraction planes, an iterative Wiener deconvolution based method is proposed. With the same iterative scheme as the iterative angular spectrum method (IAS), the propagation of the optical wave function between the input plane and the diffraction planes is calculated by Wiener deconvolution in this method. The angular spectrum convolution kernel used in the iterative angular spectrum method is incorporated into the Wiener filter. The simulation experiments show that the proposed method can reduce the impact of the noise on the retrieved phase and performed better than the pre-denoising method. Furthermore, the proposed method exhibits great advantage compared to IAS for retrieving the complicated phase distribution from two measured intensities.     

Reconstruction of holograms generated by using a combination of an iterative method and an error diffusion method

Two-level quantized phase holograms produced by using a combination of an iterative method and an error diffusion method are presented. By using a previously proposed iterative method, images reconstructed from two-level quantized phase holograms are rapidly improved with small amounts of iterative operations but further improvement of the image quality is difficult even if the iterations are greatly increased. Therefore, in order to exceed the improvement limitation of the image quality, the combination of the iterative method and an error diffusion method was used for the hologram-making process. Experimental results using the combination method showed better images than those obtained by the iterative method alone, when referred to results from synthesized holograms.     

对皮尔斯电子枪综合法的改进

 在低压缩比、低导流系数情况下,对Vaughan迭代综合法因阴极半锥角初始值取得不合理而失效的原因进行了分析,并对其中的迭代公式进行了合理修正。采用Vaughan迭代综合法和修正后的迭代综合法验算了13支不同性能的电子枪,结果表明：采用修正迭代法,阴极半锥角初始值即使在0°~70°取值,都能得出正确的计算结果。在原来Vaughan法适应的情况下,修正法与原方法的阴极半锥角结果之间差值小于1°;在原来Vaughan法失效的情况下(如低导流系数、低压缩比小于7),改进后的方法也能得到接近实测值的合理结果。     

Vector fuzzy control iterative algorithm for the design of sub-wavelength diffractive optical elements for beam shaping

The vector fuzzy control iterative algorithm (VFCIA) is proposed for the design of phase-only sub-wavelength diffractive optical elements (SWDOEs) for beam shaping. The vector diffraction model put forward by Mansuripur is applied to relate the field distributions between the SWDOE plane and the output plane. Fuzzy control theory is used to decide the constraint method for each iterative process of the algorithm. We have designed a SWDOE that transforms a circular flat-top beam to a square irradiance pattern. Computer design results show that the SWDOE designed by the VFCIA can produce better results than the vector iterative algorithm (VIA). And the finite difference time-domain method (FDTD), a rigorous electromagnetic analysis technique, is used to analyze the designed SWDOE for further confirming the validity of the proposed method.     

基于非均匀螺旋线数据和布雷格曼迭代的快速磁共振成像方法

数据采集时间长是制约磁共振成像技术发展的重要瓶颈.为了解决这一问题, 本文基于压缩感知成像理论, 提出了一种结合非均匀螺旋线磁共振数据采集序列和布雷格曼迭代重建的快速磁共振成像方法, 通过欠采样缩短数据采集时间.欠采样引起混迭伪影则通过非均匀螺旋线欠采样特性和布雷格曼迭代重建去除.水模磁共振成像实验和在体磁共振成像实验结果表明: 欠采样情况下, 所提出的方法能有效去除欠采样导致的混迭伪影, 获得的图像结构信息完整的成像结果, 在缩短采样时间的同时, 具有较高的准确度. 关键词： 磁共振成像 非均匀螺旋线 全变分 布雷格曼迭代     

基于主元分析的随机相移算法

将统计理论中的主元分析应用到干涉条纹分析中,提出一种基于主元分析的随机相移算法。该算法先将多帧条纹数据分解成不相关的主元成分,然后从主元成分中提取2维相位信息。数值模拟结果表明:该算法不需要迭代运算就能从4帧完全随机相移干涉图中有效提取相位信息,运算时间少,精度高。实验结果表明主元分析相移算法比现有迭代相移算法更适合于随机相移干涉图分析。     

阴影叠栅相移非线性误差补偿算法研究

相移阴影叠栅干涉场的相位(高度)存在非线性关系,而传统的相移阴影叠栅技术往往忽略了相位与高度的非线性关系,从而在测量系统中引入测量误差。对此提出了一种基于迭代相位解调自调算法相移阴影叠栅技术,该方法利用最小二乘技术获得相移量估算值,利用该估算值通过迭代算法消除相移阴影叠栅的全场相位误差,从而得到正确的相位分布。模拟计算表明该方法可以有效解决相移不均产生的相位测量误差问题,且可实现光栅移动量的精确估算,其误差不超过3.4%。对比实验进一步说明了所提出方法的正确性和优越性。     

Structural damping identification based on an iterative regularization method

A time domain structural damping identification method is presented in this paper. The damping of a structure is assumed to be time-invariant Rayleigh damping, time-variant Rayleigh damping and modal damping, respectively, and an iterative regularization method is proposed to identify these three types of damping in turn. A sensitivity approach is adopted in the formulation of the ill-posed inverse problem. A new constraint is imposed on the identified iterative increment as well as on the unknown structural parameters to ensure their physical meaning in the identification process is not lost. The proposed method is verified in numerical studies with a space frame structure and laboratory measurements of accelerations with accurate results.     

基于双边滤波算子的医学脊椎去噪

为了有效滤除医学脊椎模型的噪声点,同时更好地保持模型细节,提出了一种基于双边滤波算子的医学脊椎去噪模型.采用双边滤波在多尺度条件下进行脊椎三维模型轮廓线的提取,设计改进自适应扩散系数,以更好的优化控制整个扩散过程.根据图像的离散特征,建立相应的离散迭代方程,使迭代过程离散化,并设计迭代停止准则,当去噪平滑后的图像模型与噪声相关性最小时停止迭代.与经典的向异性扩散模型方法实验结果相比,本方法在解决去噪方面达到了很好的滤波效果,同时也较好地保持了医学图像的边缘细节特征,大大优于传统滤波算法.     

用于导航定位坐标系转换的引申迭代算法研究

为了提升卫星导航信号处理软件RTKLIB的直角坐标转换至大地坐标算法的性能,本文基于牛顿迭代算法的思路,在Bowring直接解法基础上提出一种引申迭代算法。经过理论分析和测试实验数据对比,本文证实了引申迭代坐标转换算法相对于RTILIB现有的一般迭代坐标转换算法,具有迭代次数更少、精度更高的特点,更适用于高度坐标h取值较大的情形。     

关联成像目标重构的伪逆迭代降噪方法

结合伪逆关联成像和迭代去噪关联成像,提出了关联成像目标重构的伪逆迭代方法.该方法以伪逆关联成像重构结果为初始值,选取合适的与噪声干扰相关的阈值,通过迭代运算逼近实际的噪声干扰,最终抑制噪声并提高重构图像的峰值信噪比.以峰值信噪比和相关系数为衡量标准,将伪逆迭代关联成像的重构结果与差分关联成像、伪逆关联成像进行对比分析.仿真实验结果表明,伪逆迭代方法的峰值信噪比较伪逆关联成像方法、差分关联成像方法分别高出约1.0dB、3.1dB,同时其相关系数、视觉效果也有所改善,验证了该方法的有效性.     

Low-frequency asymptotics of complex dispersion curves for lamb waves in layered elastic plate

An asymptotic and iterative method is proposed to calculate complex dispersion curves for isotropically layered plates. At the first stage, a dispersion equation is derived in explicit form and its limiting form is obtained for the static case. Passages to the limit of coinciding materials or vanishingly small layer thicknesses are investigated. Specific case of materials with coinciding shear moduli is analyzed in detail. Asymptotics of static roots is deduced for a large value of the root magnitude, the error of asymptotics is estimated, and an iterative method is proposed for calculating exact root values. Long-wave asymptotics of dispersion curves is derived, and it is shown that every complex dispersion curve has a long flat initial segment. Asymptotics is the more accurate, the lower the frequency is and the higher the number of the curve is. Exact values of wave numbers on the dispersion curve are also evaluated by another iterative procedure. Examples of calculating the dispersion curves are presented and the efficiency of the algorithm is shown.     

Numerical Analysis and Comparison of Three Iterative Methods Based on Finite Element for the 2D/3D Stationary Micropolar Fluid Equations

In this paper, three iterative methods (Stokes, Newton and Oseen iterative methods) based on finite element discretization for the stationary micropolar fluid equations are proposed, analyzed and compared. The stability and error estimation for the Stokes and Newton iterative methods are obtained under the strong uniqueness conditions. In addition, the stability and error estimation for the Oseen iterative method are derived under the uniqueness condition of the weak solution. Finally, numerical examples test the applicability and the effectiveness of the three iterative methods.     

迭代最小二乘法用于非线性移相器的标定

针对移相干涉仪中移相器的非线性会影响测量结果准确性的问题,提出了一种基于迭代最小二乘拟合的标定干涉仪移相器的新方法。对移相器加电压并采集若干幅干涉图后,通过在帧间和帧内迭代开展最小二乘拟合可计算出干涉图间移相值,从而得出了电压值与移相值的对应关系曲线,通过对曲线作非线性拟合并对电压值进行精密调整,完成移相器的精确标定。在改造后的干涉仪上对此标定方法进行验证,与Zygo干涉仪相比,相同元件下两者测量结果之差的RMS值为1.726 nm。该标定方法可以降低高精度面形测量干涉仪对移相器线性度的要求。     

Iterative Fourier transform method for phase map recovery in electronic speckle-shearing pattern interferometry

Increasing phase values at the edges of objects under analysis in electronic speckle shearing interferometry (ESSPI) cause errors in the actual recovering methods to obtain the spatially integrated phase. An iterative least minimum squares method is proposed here to recover the phase map from the approximated ESSPI derivatives when the displacement phase is increasing near the object edges. It is based in an iterative Fourier transform method derived from a least-squares phase map recovery algorithm. Experimental results from a rotating cylindrical bar show the validity of our approach.     

Improvement of images generated reconstructed from computer- holograms using an iterative method

An iterative method is presented which can uniformly distribute the Fourier transformed amplitudes of an original object. The method is effective in making phase quantized holograms whose amplitudes have constant values, and further, it is effective for such imaging systems where the decreased spectral information is desirable for transmission and storage. The hologram is produced by iterations of the Fourier transform and inverse Fourier transform operations. The image quality depends upon the number of iterations, however, a great many iterations will not necessarily lead to a marked improvement in the image quality because a rapid improvement is often achieved by only a few iterative operations. From our experiments, the iterative operations have made remarkable improvements in reconstructed images. The proposed method is also suitable for other types of holograms and for applications in imaging systems.     

A framework for iterative analysis of non-classically damped dynamical systems

In this paper, we propose a general iterative framework to solve the dynamic problem for linear systems with non-classical viscous damping. A systematic approach is used to derive families of stationary iterative schemes that, as an instance of particular interest, decouple the equations of motion for numerical study of the system response. For such schemes, we present a detailed convergence analysis and propose several solution strategies suitable for a broad class of systems. These techniques are based on spectral analysis of particular iteration matrices arising in the derivation and aim at optimizing the convergence performance of the method. We demonstrate that the proposed systematic framework, based on a novel application of the homotopy analysis method, generalizes iterative schemes previously reported in the literature and, importantly, provides a unified perspective for the study of iterative solutions of dynamic problems. Further, we establish a connection between our results and the theory of iterative schemes for algebraic linear systems, thus providing insights on convergence results and applicability of the method. Numerical examples illustrate the effectiveness of the approach and indicate future research directions.     

A statistical iteration approach with energy minimization to sinogram noise reduction for low-dose X-ray CT

Low-dose CT imaging has been particularly used in modern medical practice for its advantage on reducing the radiation dose to patients. However, excessive quantum noise is present in low dose X-ray imaging along with the decrease of the radiation dose; thus, there are obvious streak-like artifacts in reconstructed images. The statistical iterative reconstruction approach applied to the noisy sinogram before a filtered back-projection (FBP) is a resolution to deal with the noisy problem. In this paper, the statistical property of the noise sinogram was considered to achieve a satisfactory image reconstruction and a statistical iterative method with energy minimization was proposed to address the problem of streak-like artifacts. Simulations were performed and indicated that the proposed method could suppress noise and obviously decrease streak-like artifacts in reconstructed images.     

Double image encryption based on phase-amplitude hybrid encoding and iterative phase encoding in fractional Fourier transform domains

A new method for double image encryption is proposed that is based on amplitude-phase hybrid encoding and iterative random phase encoding in fractional Fourier transform (FrFT) domains. In the iterative random phase encoding operation, a binary random matrix is defined to encode two original images to a single complex-valued image, which is then converted into a stationary white noise image by the iterative phase encoding with FrFTs. Compared with the previous schemes that uses fully phase encoding, the proposed method reduces the difference between two original images in key space and sensitivity to the FrFT orders. The primitive images can be retrieved exactly by applying correct keys with initial conditions of chaotic system, the pixel scrambling operation and the FrFT orders. Computer simulations demonstrate that the encryption method has impressively high security level and certain robustness against data loss and noise interference.     

Approximation-error-ADP-based optimal tracking control for chaotic systems with convergence proof

In this paper, an optimal tracking control scheme is proposed for a class of discrete-time chaotic systems using the approximation-error-based adaptive dynamic programming （ADP） algorithm. Via the system transformation, the optimal tracking problem is transformed into an optimal regulation problem, and then the novel optimal tracking control method is proposed. It is shown that for the iterative ADP algorithm with finite approximation error, the iterative performance index functions can converge to a finite neighborhood of the greatest lower bound of all performance index functions under some convergence conditions. Two examples are given to demonstrate the validity of the proposed optimal tracking control scheme for chaotic systems.