一种改良的啁啾变换算法及其应用

快速啁啾算法引入两次快速傅里叶变换（FFT）及一个解析高斯核,计算复杂度低于卷积算法.通过对啁啾算法实现过程进行的改进,避免了该算法在实现过程中存在的一些问题,比如输出窗口小、信号丢失、计算复杂度稍大等缺点. 把算法用于简单的可求得解析解的系统并与之做比较. 对高斯函数,最大误差通常在10^-15数量级,而对矩形函数,由于受FFT算法计算精度的影响,误差在10^-3数量级,但这并不影响算法的性能. 最后把算法用于一种典型的标量衍射系统及分数傅里叶变换的计算,获得了很好的结果. 关键词： 快速啁啾算法 啁啾Z变换 菲涅耳变换 分数傅里叶变换     

色散阶变光纤正常色散区啁啾演变特性之讨论

利用傅里叶变换法得到了色散阶变光纤正常色散区群速度色散导致啁啾的解析表达式;而且,采用数值法模拟了色散阶变光纤正常色散区啁啾演变过程。结果表明:色散阶变光纤中啁啾以色散缓变光纤中啁啾为中心跳跃式变化,但远小于常规光纤中啁啾。选择合适入射脉冲初始啁啾会使净啁啾等于零,从而形成暗孤子。     

一阶光学系统分数傅里叶变换的相空间分析

在维格纳相空间中,通过将一阶光学系统的传输矩阵分解为坐标旋转、比例缩放和啁啾矩阵的组合,得到了一阶光学系统在空域的分数傅里叶表示.结果表明:任意一阶光学系统均可表示为经过比例缩放和二次相位调制的分数傅里叶变换.通过将输入输出光场在相空间中作π/2角旋转,得到了一阶光学系统在频域的传输矩阵和衍射积分公式,进而得到了一阶光学系统在频域的分数傅里叶表示.比较空域和频域一阶光学系统的相空间变换矩阵,说明2个系统本质上属同一变换在不同基坐标下的表示,并推导出了光学系统在空域和频域具有相同分数傅里叶变换的条件.     

啁啾脉冲频域干涉仪相位重建方法的理论研究

理论研究了啁啾脉冲频域干涉仪的时域相移重建技术,对于接近实际的频谱干涉条纹,分别采用傅里叶变换和小波变换的方法完成了时域相位扰动信号的重建。傅里叶变换方法产生的重建误差受到滤波参数的影响,相对而言,小波变换方式解谱过程中,不需要进行特意的滤波操作,从而避免了重建结果存在误差不确定性的问题。     

单模光纤正常色散区零色散波长附近的啁啾演变特性

利用傅里叶变换法,首次推出了单模光纤正常色散区中二阶、三阶色散共同决定群速度色散效应时,所致啁啾的解析表达式.利用数位解法,模拟了零色散波长附近群速度色散效应和自相位调制效应共同导致的啁啾演变过程.计算结果表明:啁啾为非线性的,且有极值,因而导致脉冲形状的畸变.     

复杂脉冲单发频域干涉测量

以傅里叶变换极限脉冲作参考脉冲,利用单次测量分析法对复杂的皮秒脉冲进行测量,用窗口傅里叶变换代替傅里叶变换对干涉条纹进行时间-频率分析,直接提取出复杂脉冲的啁啾特性或光谱成分,将光谱图中的功率密度S(ω,t)沿ω轴求和重建脉冲的时域包络.分别用该方法和传统频域干涉测量法测量一个线性啁啾脉冲和一个复杂脉冲.结果表明,该方法可实现复杂整形脉冲的实时测量,且时间分辨率为70 fs.     

复杂脉冲单发频域干涉测量（英文）

以傅里叶变换极限脉冲作参考脉冲,利用单次测量分析法对复杂的皮秒脉冲进行测量,用窗口傅里叶变换代替傅里叶变换对干涉条纹进行时间-频率分析,直接提取出复杂脉冲的啁啾特性或光谱成分,将光谱图中的功率密度S(ω,t)沿ω轴求和重建脉冲的时域包络.分别用该方法和传统频域干涉测量法测量一个线性啁啾脉冲和一个复杂脉冲.结果表明,该方法可实现复杂整形脉冲的实时测量,且时间分辨率为70fs.     

基于连续统快速傅里叶变换的红外光谱处理技术

为实现红外光谱对遥感地物准确的识别,消除高频噪声是光谱特征分析和提取的重要环节。利用光谱连续统处理方法,结合信号时域分析领域快速傅里叶变换提出了一种新的红外光谱滤波方法。该方法首先对红外光谱进行光谱连续统去除,利用快速傅里叶变换将去连续统后光谱转换到频域,设计低通滤波器滤除高频噪声,然后通过快速傅里叶反变换将频域信号转换到时域,最后对信号进行光谱连续统恢复,得到滤除噪声后的红外光谱信号。对比实验表明,连续统快速傅里叶滤波方法比常规的时域滤波方法有更好、更快的滤波效果,解决了传统快速傅里叶红外光谱滤波的吉布斯现象。该方法操作简便、运行速度快捷、滤波效果好,满足了红外光谱地物识别对光谱高质量的要求。     

线性啁啾高斯脉冲堆积中的强度起伏频率(英文)

基于谱分析方法系统研究了多个线性啁啾高斯脉冲堆积的强度起伏频率。首先基于傅里叶变换方法分别分析并模拟了两路和多路线性啁啾高斯脉冲堆积,讨论了等幅度、等延迟多路线性啁啾高斯脉冲堆积的情况下,起伏频率与初始高斯脉冲的数目与啁啾系数、时间延迟和脉冲宽度的关系,并简要分析了多路线性啁啾高斯脉冲堆积的一般情况。结果表明,在堆积脉冲的强度谱中存在一系列分立的频率边带,这些频率边带对强度起伏有贡献。高频的频率边带由于幅度交叠的部分较少,所以对强度起伏贡献较少。强度起伏频率随初始啁啾高斯脉冲啁啾系数和时间延迟的增大而增大,随脉冲宽度的减小而增大。     

啁啾脉冲光谱仪法探测THz辐射的时间分辨率极限

介绍了啁啾脉冲光谱仪法探测THz(1012Hz)辐射的基本原理,该方法克服了时间延迟扫描方法测量速度的缺陷,可以实现实时测量。被THz电场调制的啁啾探测光脉冲通过光谱仪后,待测THz电场时域波形被光谱仪在空域上展开,因此一次测量即可得到一个THz电场的时域波形。但是光谱仪的引入实际上相当于进行了一次傅里叶变换,使得最终得到的测量结果不是THz电场本身,而是与另外一个函数的卷积,因此从理论上证明了啁啾脉冲光谱仪法探测THz辐射存在时间分辨率极限。将理论结果与已有的实验结果进行对比,得到了很好的一致性。     

Convolution and Filtering in Fractional Fourier Domains

Fractional Fourier transforms, which are related to chirp and wavelet transforms, lead to the notion of fractional Fourier domains. The concept of filtering of signals in fractional domains is developed, revealing that under certain conditions one can improve upon the special cases of these operations in the conventional space and frequency domains. Because of the ease of performing the fractional Fourier transform optically, these operations are relevant for optical information processing.     

线性调频信号激励过阻尼双稳系统的随机共振现象研究

线性调频信号是工程中常见的一种信号, 由于其为非周期信号, 无法以频域信噪比作为衡量其是否产生随机共振的测量手段, 故鲜有文献研究以线性调频信号为激励信号的随机共振现象. 本文利用线性调频信号在最优分数阶Fourier变换域上的能量聚集性, 首次提出以最优分数阶Fourier变换域上定义的信噪比作为测量手段, 研究了线性调频信号叠加高斯白噪声激励过阻尼双稳系统的随机共振现象, 且发现了以线性调频信号为激励信号时产生的新现象, 即随着信号频率的增大, 随机共振将逐渐减弱, 并给出了合理的解释.仿真的结果与理论分析一致, 验证了本文所提出方法的有效性. 关键词： 线性调频信号 分数阶Fourier变换 随机共振     

Spectrum measurement in the fractional Fourier domain

Fractional Fourier transform (FRFT) plays an important role in many fields of optics and signal processing. This paper considers the problem of real-time measurement of the spectrum of a signal in the FRFT domain. In this paper, we propose two approaches for real-time measurement of the FRFT of a signal based on modulation and bandpass filtering systems. The relation is established between the linear frequency modulation (LFM or chirp) spectrum and the FRFT of its envelope. In addition, two applications for spectrum measurement are presented in the FRFT domain. The LFM signal can be bandlimited in the Fourier transform (FT) domain through spectrum measurement associated with bandpass filtering method. The results can also be useful in the problems related to swept-frequency filter for measurement in the FRFT domain.     

Generalized three-dimensional windowed Fourier transform for fringe analysis

A 3D windowed Fourier transform is proposed for fringe sequence analysis, which processes the joint spatial and temporal information of the fringe sequence simultaneously. The 2D windowed Fourier transform in the spatial domain and the 1D windowed Fourier transform in the temporal domain are two special cases of the proposed method. The principles of windowed Fourier filtering and windowed Fourier ridges are developed. Experimental verification shows encouraging results despite a longer processing time.     

基于分频域和菲涅耳域的光学图像加密方法

结合分数傅里叶变换及菲涅耳变换,在光学图像加密系统中分别具有多密钥性和无透镜性的优点,提出了基于分频域和菲涅耳域的光学图像加密方法。基于分数傅里叶变换的光学加密系统,引入菲涅耳变换及全息技术,使原有的加密系统在不增加光学元件的基础上提高了系统的安全性。理论分析和计算机仿真模拟证明了这种方法的可行性。     

Optical color image hiding scheme by using Gerchberg–Saxton algorithm in fractional Fourier domain

We proposed an optical color image hiding algorithm based on Gerchberg–Saxton retrieval algorithm in fractional Fourier domain. The RGB components of the color image are converted into a scrambled image by using 3D Arnold transform before the hiding operation simultaneously and these changed images are regarded as the amplitude of fractional Fourier spectrum. Subsequently the unknown phase functions in fractional Fourier domain are calculated by the retrieval algorithm, in which the host RBG components are the part of amplitude of the input functions. The 3D Arnold transform is performed with different parameters to enhance the security of the hiding and extracting algorithm. Some numerical simulations are made to test the validity and capability of the proposed color hiding encryption algorithm.     

利用分数傅里叶变换相关实现散斑相关测量

提出了一种在匹配滤波相关中利用分数傅里叶变换代替傅里叶变换实现散斑相关测量的方法.利用分数傅里叶变换的指数性质,采用把移变后的散斑图像先进行相位调制,再进行分数傅里叶变换的方法,有效地解决了分数傅里叶变换的移变性带来的谱移问题.编程模拟和拉伸试件位移场测量的结果表明,只要选择合适的分数傅里叶变换级次和相位调制函数,可以得到优于傅里叶变换相关的理想输出.     

Short-time fractional Fourier methods for the time-frequency representation of chirp signals

The fractional Fourier transform (FrFT) provides a valuable tool for the analysis of linear chirp signals. This paper develops two short-time FrFT variants which are suited to the analysis of multicomponent and nonlinear chirp signals. Outputs have similar properties to the short-time Fourier transform (STFT) but show improved time-frequency resolution. The FrFT is a parameterized transform with parameter, a, related to chirp rate. The two short-time implementations differ in how the value of a is chosen. In the first, a global optimization procedure selects one value of a with reference to the entire signal. In the second, a values are selected independently for each windowed section. Comparative variance measures based on the Gaussian function are given and are shown to be consistent with the uncertainty principle in fractional domains. For appropriately chosen FrFT orders, the derived fractional domain uncertainty relationship is minimized for Gaussian windowed linear chirp signals. The two short-time FrFT algorithms have complementary strengths demonstrated by time-frequency representations for a multicomponent bat chirp, a highly nonlinear quadratic chirp, and an output pulse from a finite-difference sonar model with dispersive change. These representations illustrate the improvements obtained in using FrFT based algorithms compared to the STFT.     

Application of fractional Fourier transform on spatial filtering

Starting from the relationship between the Wigner transformation and the fractional Fourier transform (FRFT), we apply the FRFT to the spatial filtering. In the process of filtering, the noise can be simulated as the chirp functions or their linear combination, which can be filtered at the corresponding fractional planes, and also the actual positions can be exactly obtained. Some numerical simulations prove its possibility.