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Signal Recovery and Synthesis最新文献

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Optimizing Iterative Noise Removal and Deconvolution by Simulation 优化迭代降噪和反卷积仿真
Signal Recovery and Synthesis Pub Date : 1900-01-01 DOI: 10.1364/srs.1995.rtue4
J. Leclere, A. M. Amini, G. Ioup, J. Ioup
{"title":"Optimizing Iterative Noise Removal and Deconvolution by Simulation","authors":"J. Leclere, A. M. Amini, G. Ioup, J. Ioup","doi":"10.1364/srs.1995.rtue4","DOIUrl":"https://doi.org/10.1364/srs.1995.rtue4","url":null,"abstract":"Optimization of iterative noise removal and deconvolution establishes the number of iterations needed. One approach to optimization utilizes statistical analysis of numerous trials on noise-added signals. Fixing approximately the signal-to-noise ratio (SNR) for each set of trials makes possible the determination of iteration number and expected error versus SNR as well as the statistical standard deviation of these quantities. The advantage of this approach is that it allows 1) any computer-generated noise type, 2) any criterion for optimization which is calculable, and 3) the use of nonlinear constraints. Analytic approaches to optimization do not in general allow this flexibility. Since nonlinear constraints such as nonnegativity are often the key to superresolution, the ability to perform this type of optimization is quite important. Details concerning the simulations are addressed, including stopping criteria when the rate of change in the optimization measure is very slow. Although minimization of the mean squared error and absolute error have been the main criteria examined thus far in the work because of their current pervasiveness, a number of criteria, especially those related to resolution, may be more appropriate for many data types and goals.","PeriodicalId":184407,"journal":{"name":"Signal Recovery and Synthesis","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117326469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Variable damping in seismic tomography based on ray coverage 基于射线覆盖的地震层析成像中的可变阻尼
Signal Recovery and Synthesis Pub Date : 1900-01-01 DOI: 10.1364/srs.1998.stha.2
R. Nowack
{"title":"Variable damping in seismic tomography based on ray coverage","authors":"R. Nowack","doi":"10.1364/srs.1998.stha.2","DOIUrl":"https://doi.org/10.1364/srs.1998.stha.2","url":null,"abstract":"In the seismic tomography problem, the subsurface slowness distribution is estimated from the travel-times computed along generally curved rays. For a dense and uniform set of rays, the slowness distribution will be correctly reconstructed. However, for an uneven distribution of rays, the estimated slowness distribution may be influenced by the ray configuration.","PeriodicalId":184407,"journal":{"name":"Signal Recovery and Synthesis","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126654366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Phase Retrieval with an Opacity Constraint in LAser IMaging (PROCLAIM) 基于不透明度约束的激光成像相位恢复(宣告)
Signal Recovery and Synthesis Pub Date : 1900-01-01 DOI: 10.1364/srs.1998.stuc.3
R. Paxman, J. Fienup, M. Reiley, B. Thelen
{"title":"Phase Retrieval with an Opacity Constraint in LAser IMaging (PROCLAIM)","authors":"R. Paxman, J. Fienup, M. Reiley, B. Thelen","doi":"10.1364/srs.1998.stuc.3","DOIUrl":"https://doi.org/10.1364/srs.1998.stuc.3","url":null,"abstract":"PROCLAIM is an active-illumination imaging method that utilizes flood illumination of an opaque object with a frequency-tunable laser [1,2,3]. The reflected radiation at a single frequency will create a speckle pattern in the far-field. The intensity of this far-field speckle pattern is directly detected with an array of detectors and without intervening optics. Typically, the illuminating laser will step through several frequencies so that a separate cross-range speckle intensity pattern is collected for each of multiple frequencies. Properly formatted, these data correspond to the modulus squared of the Fourier transform of the object’s 3-D complex reflectivity function [4]. If the object’s Fourier phase can be retrieved, then the Fourier representation of the object will be complete and a 3-D FFT could be used to recover the object’s 3-D complex reflectivity. Thus, phase-retrieval is an integral element of the PROCLAIM imaging modality. A schematic diagram of the data-collection and processing that constitute the PROCLAIM imaging modality is presented in Fig. 1.","PeriodicalId":184407,"journal":{"name":"Signal Recovery and Synthesis","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116205723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Astronomical Results using Physically-Constrained Iterative Deconvolution 利用物理约束迭代反褶积的天文结果
Signal Recovery and Synthesis Pub Date : 1900-01-01 DOI: 10.1364/srs.1998.stub.3
E. Hege, M. Cheselka, M. Lloyd-Hart, P. Hinz, W. Hoffmann, J. Christou, S. Jefferies
{"title":"Astronomical Results using Physically-Constrained Iterative Deconvolution","authors":"E. Hege, M. Cheselka, M. Lloyd-Hart, P. Hinz, W. Hoffmann, J. Christou, S. Jefferies","doi":"10.1364/srs.1998.stub.3","DOIUrl":"https://doi.org/10.1364/srs.1998.stub.3","url":null,"abstract":"Iterative physical deconvolution is used for point spread function (psf) calibration of a wide range of astronomical imagery obtained in visible (CCD) through near- and mid-infrared (NICMOS and MIRAC) wavelengths. Psf complications, ranging from those of uncorrected speckle images at large telescopes to those of contemporary high-performance adaptive optics, are accomodated by this algorithm which makes use of a priori physical information about the imaging system. Examples of diffraction-limited and “super-resolved” results are presented for a variety of different astronomical objects.","PeriodicalId":184407,"journal":{"name":"Signal Recovery and Synthesis","volume":"1225 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130041878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Phase Retrieval for Multiple Undersampled Polychromatic Images 多幅欠采样多色图像的相位检索
Signal Recovery and Synthesis Pub Date : 1900-01-01 DOI: 10.1364/srs.1998.stuc.5
J. Fienup
{"title":"Phase Retrieval for Multiple Undersampled Polychromatic Images","authors":"J. Fienup","doi":"10.1364/srs.1998.stuc.5","DOIUrl":"https://doi.org/10.1364/srs.1998.stuc.5","url":null,"abstract":"We previously developed gradient-search phase-retrieval algorithms and used them to determine the aberrations of the Hubble Space Telescope [1-4]. We were not able to apply these algorithms to all the available data because (i) our algorithms [3-4] required that the images of point objects be of narrow spectral bandwidth, limiting us to using images recorded through narrowband optical filters, and (ii) we required that the measured data in the focal plane be Nyquist sampled for the optical fields, limiting us to the longer wavelengths and the Planetary Camera.","PeriodicalId":184407,"journal":{"name":"Signal Recovery and Synthesis","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130028774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
New findings on the Zeros of Fourier Integrals 傅里叶积分零点的新发现
Signal Recovery and Synthesis Pub Date : 1900-01-01 DOI: 10.1364/srs.1998.stud.2
A. J. Noushin, M. Fiddy
{"title":"New findings on the Zeros of Fourier Integrals","authors":"A. J. Noushin, M. Fiddy","doi":"10.1364/srs.1998.stud.2","DOIUrl":"https://doi.org/10.1364/srs.1998.stud.2","url":null,"abstract":"There has been considerable interest over the years in the so-called Fourier phase retrieval problem. Applications abound and it still remains a difficult problem. Based on the analytic properties of bandlimited functions, it is well known that the 1D phase retrieval problem generally has no unique solution. The lack of uniqueness arises from the existence of complex zeros located off the real axis, i.e. in the complex plane. These analytic properties also suggest that in 2D or higher dimensional problems there is a unique solution1. The question is how to find this “unique” solution, especially when only noisy sampled power spectral data are available. Indeed, the meaning of uniqueness needs to be redefined under these circumstances.","PeriodicalId":184407,"journal":{"name":"Signal Recovery and Synthesis","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124309883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Psf calibration in astronomical imaging - physical constraints for a noisy problem 天文成像中的Psf校准——噪声问题的物理约束
Signal Recovery and Synthesis Pub Date : 1900-01-01 DOI: 10.1364/srs.1998.stua.1
E. Hege
{"title":"Psf calibration in astronomical imaging - physical constraints for a noisy problem","authors":"E. Hege","doi":"10.1364/srs.1998.stua.1","DOIUrl":"https://doi.org/10.1364/srs.1998.stua.1","url":null,"abstract":"Physically constrained iterative deconvolution attempts to realize the solution of an ill-posed problem, the iterative estimation of both the object function and the corresponding set of image point- spread-functions given a set of noisy realizations of images obtained with less than perfect optical imaging systems. Conjugate gradient-driven iterative estimation is used with physical constraints to guide the result to a physically consistent solution. The Art of using physically constrained iterative deconvolution in astronomical imaging, with and without adaptive optics, is discussed.","PeriodicalId":184407,"journal":{"name":"Signal Recovery and Synthesis","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124584505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Regularized blind deconvolution 正则盲反褶积
Signal Recovery and Synthesis Pub Date : 1900-01-01 DOI: 10.1364/srs.1998.stua.2
R. Lane, R. A. Johnston, R. Irwan, T. J. Connolly
{"title":"Regularized blind deconvolution","authors":"R. Lane, R. A. Johnston, R. Irwan, T. J. Connolly","doi":"10.1364/srs.1998.stua.2","DOIUrl":"https://doi.org/10.1364/srs.1998.stua.2","url":null,"abstract":"Blind deconvolution is an important problem that arises in many fields of research. It is of particular relevance to imaging through turbulence where the point spread function can only be modelled statistically, and direct measurement may be difficult. We describe this problem by a noisy convolution, where f(x, y) represents the true image, h(x, y) the instantaneous atmospheric blurring, g(x, y) the noise free data and n(x, y) is the noise present on the detected image. We use to denote an estimate of these quantities and our objective is to recover both f(x, y) and h(x, y) from the observed data d(x, y).","PeriodicalId":184407,"journal":{"name":"Signal Recovery and Synthesis","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116731569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Two Numerical Methods of Image Reconstruction in Diffusion Tomography 扩散层析成像中图像重建的两种数值方法
Signal Recovery and Synthesis Pub Date : 1900-01-01 DOI: 10.1364/srs.1995.rtua2
S. Gutman, M. Klibanov, Hua Song
{"title":"Two Numerical Methods of Image Reconstruction in Diffusion Tomography","authors":"S. Gutman, M. Klibanov, Hua Song","doi":"10.1364/srs.1995.rtua2","DOIUrl":"https://doi.org/10.1364/srs.1995.rtua2","url":null,"abstract":"We consider Inverse Scattering Problem (ISP) for the Diffusion Equation (1) The ISP consists in determination of either of coefficients D(x) or a(x) given function u(x,t)|∂-Ω = φ(x,t), where ∂ Ω is a boundary of a bounded domain Ω ⊂ ℝn.","PeriodicalId":184407,"journal":{"name":"Signal Recovery and Synthesis","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116806271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Aperiodic Grating for TE02 to TE01 Conversion in a Highly Overmoded Circular Waveguide 用于高过模圆波导中TE02到TE01转换的非周期光栅
Signal Recovery and Synthesis Pub Date : 1900-01-01 DOI: 10.1364/srs.1995.rtuc2
Tanveer ul Haq, K. Webb, N. Gallagher
{"title":"Aperiodic Grating for TE02 to TE01 Conversion in a Highly Overmoded Circular Waveguide","authors":"Tanveer ul Haq, K. Webb, N. Gallagher","doi":"10.1364/srs.1995.rtuc2","DOIUrl":"https://doi.org/10.1364/srs.1995.rtuc2","url":null,"abstract":"Periodic gratings have frequently been used for conversion of modes in highly overmoded circular waveguides [1, 2, 3]. These gratings are formed by periodically varying the waveguide radius resulting in a rippled wall structure and are usually analyzed by coupled mode theory. Very high efficiencies have been reported for these gratings but their lengths remain large compared to the waveguide transverse dimension. Various techniques have been implemented to optimize the length of these gratings [3, 4, 5], but the overall conversion length remains limited by the grating period, δ = 2π/|β\u0000 m\u0000 – β\u0000 n\u0000 |, where β\u0000 m\u0000 and β\u0000 n\u0000 are the propagation constants for the input and the output modes. The smallest conversion length reported for a TE02 to TE01 mode converter at 60 GHz is equal to one grating period [4]. This converter was designed for a highly overmoded waveguide with a diameter of 2.771 cm using the coupled mode equations. The efficiency reported for this converter is 97.6%.","PeriodicalId":184407,"journal":{"name":"Signal Recovery and Synthesis","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129268597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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