Classification of cardiac sound signals using constrained tunable-Q wavelet transform

The features extracted from the cardiac sound signals are commonly used for detection and identification of heart valve disorders. In this paper, we present a new method for classification of cardiac sound signals using constrained tunable-Q wavelet transform (TQWT). The proposed method begins with a constrained TQWT based segmentation of cardiac sound signals into heart beat cycles. The features obtained from heart beat cycles of separately reconstructed heart sounds and murmur can better represent the various types of cardiac sound signals than that from containing both. Therefore, heart sounds and murmur have been separated using constrained TQWT. Then the proposed novel raw feature set has been created by the parameters that have been optimized while constraining the output of TQWT together with that of extracted by using time-domain representation and Fourier–Bessel (FB) expansion of separated heart sounds and murmur. However, the adaptively selected features have been used to obtain the final feature set for subsequent classification of cardiac sound signals using least squares support vector machine (LS-SVM) with various kernel functions. The performance of the proposed method has been validated with publicly available datasets and the results have been compared with the existing short-time Fourier transform (STFT) based method. The proposed method shows higher percentage classification accuracy of 94.01 as compared to 93.53 of STFT based method. In comparison with STFT based method, it is noteworthy that the proposed method uses well defined and lower dimensionality of feature vector that can reduce the computational complexity.     

基于Fourier矩阵的无线广播重传策略

针对随机网络编码重传的缺陷, 将Fourier矩阵和随机网络编码相结合, 提出一种半固定编码系数的广播重传方案FMWBR。利用广播源节点和接收节点双方已知的Fourier矩阵的行向量作为编/解码向量, 保证接收节点接收到的重传包具有完全可解性。理论分析表明, FMWBR增强了无线传输的安全性、提高了网络的鲁棒性、减少了包头开销。仿真测试结果表明, FMWBR跟其他几种重传策略相比, 有效地减少了平均传输次数, 节省了带宽消耗, 提高了网络吞吐量。     

基于Hough圆卷积变换的孔组检测

为降低孔组测量的成本,提高测量的精确度,提出一种基于Hough国卷积的孔组检测方法.对孔组图像进行中值滤波、拉普拉斯锐化增强和边缘检测;根据孔组半径大小的变化范围,对Hough圆锥进行改进;在此基础上,利用改进的Hough圆锥与边缘检测后的图像进行三维卷积,得到Hough参数空间,计算出孔组的坐标和半径值;采用快速傅立叶变换法代替三维卷积,减少算法的计算时间.实验结果表明,该方法的检测精度高、实时性强,可以用于孔组的自动化检测.     

Characterization of pressure signals in a bubble column by wavelet packet transform

All experiments of pressure fluctuations were carried out in a bubble column with a moderately large column of 0.376 m ID. The recently developed technique of wavelet packet transform based on localized wavelet functions is applicable to analysis of the fluctuating signals. The time series of pressure fluctuation signals have been analyzed by means of wavelet packet transform components, decomposition through best basis algorithm and timefrequency representation. By resorting to this technique, the objects in bubbly flow regime have fine scales and frequencies than ones in churn-turbulent flow regime. Thus, this wavelet packet transform method enables us to obtain the frequency content of local complex flow behaviors in a bubble column.     

基于虚拟仪器的传感器性能测试系统

为检测传感器性能是否符合需求,在傅里叶级数算法原理的基础上,结合虚拟仪器技术,开发设计了传感器性能测试系统。通过实验验证了该测试系统能有效地对传感器性能进行检测,误差约为0.004,同时测试系统还具有一定的可扩展性和通用性,用于实验传感器以外的其他传感器测试。     

基于FFT的陀螺寻北仪误差补偿

传统提高陀螺寻北仪精度的方法主要是选用高精度陀螺、提高转位精度、增加转位数、通过数字滤波消除外界干扰等,这些方法大多针对寻北仪的某方面误差因素进行改进,而对寻北仪整体的误差特性研究较少。通过对陀螺寻北仪综合误差特性的分析,提出了基于快速傅立叶变换(FFT)的寻北仪误差补偿方法。该方法首先测量出寻北仪的整周误差,然后通过求取FFT系数完成对寻北仪的系统级误差补偿,该方法尤其对寻北仪制造过程中的结构误差和测量元件的常值漂移残差具有良好的补偿效果。经产品验证可以在保持现有陀螺和转位精度不变的情况下,提高寻北精度3倍以上,具有良好的工程实用价值。     

Separation and identification of phenolic acids and related compounds by gas chromatography and fourier transform infrared spectroscopy

Phenolic acids and related compounds were separated by gas chromatography using three separate columns. One of these columns was coupled to a Fourier transform infrared spectrometer. The trimethylsilyl derivatives could be separated and identified by comparing the relative retention times of the three different columns. However, where there was overlap, the accompanying infrared data clearly distinguished between the questionable derivatives, thus enabling characterization of all derivatives.The use of trade, firm, or corporation names in this article is for the information and convenience of the reader. Such use does not constitute an official endorsement or approval by the U.S. Department of Agriculture or the Forest Service of any product or service to the exclusion of others that may be suitable.     

超快平面显微成像技术

快速成像技术在很多领域都有着重要的应用,本文基于超短光脉冲的时-空-频映射原理,提出并实现了一种超快平面显微成像技术。利用色散傅里叶变换及空间色散器件把光脉冲的宽带频谱信息分别映射到时域和空域,利用高速光电探测器进行串行单像素成像,最终获得了帧速率为20.9 MHz,空间分辨率为22 μm和55 μm的一维及二维平面成像系统。在实验中用标准的分辨率目标板验证了成像效果。该技术为超快成像提供了一种有效手段,并将应用于高速平面检测等多个领域。     

Melting and reorganization of poly(ethylene terephthalate) on fast heating (1000 K/s)

For poly(ethylene terephthalate) (PET) and other polymers the origin of the multiple melting peaks observed in differential scanning calorimetry (DSC) curves is still controversially discussed. This is due to the difficulty to investigate the melting of the originally formed crystals exclusively. Recrystallization is a fast process and most experimental techniques applied so far do not allow fast heating in order to prevent recrystallization totally. Developments in thin-film (chip) calorimetry allow scanning rates as high as several thousand Kelvin per second. We utilized a chip calorimeter based on a commercially available vacuum gauge, which is operated under non-adiabatic conditions. The calorimeter was used to study the melting of isothermally crystallized PET. Our results on melting at rates as high as 2700 K/s give clear evidence for the validity of a melting-recrystallization-remelting process for PET at low scanning rates (DSC). At isothermal conditions PET forms crystals, which all melt within a few dozens of K slightly above the isothermal crystallization temperature. There is no evidence for the formation of different populations of crystals with significantly different stability (melting temperatures) under isothermal conditions. Superheating of the crystals is of the order of 10 K at 2700 K/s.     

基于级联迭代傅里叶变换算法的光学安全技术

基于级联迭代傅里叶（CIFT）变换算法提出了一种新的光学图像的加密方法,该方法通过输入和4-F相关的傅里叶域的模糊设计和定位,从而实现光学加密以及真实性验证。与以往的方法有所不同,新算法采用改进的搜索策略：修改两个阶段的同步分布,同时扩大搜索空间。计算机模拟实验表明其快速的收敛算法能够更好地恢复图像的质量,密钥会被分配到不同的方面,用户只有在得到这些密钥的授权之后才能得到解密后的图像,这种密钥分配策略可以极大减少被入侵的风险。