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1.Identification of Daemonorops draco Bl. by near-infrared diffuse reflectance spectrometry combined with visualization of convolution transform
近红外漫反射光谱的可视化褶合变换技术用于血竭的鉴别收藏指正
2.P—Adic Convolution And The Zhang-Hltarey Transform
并元卷积与zhang-Hartley变换收藏指正
3.Using convolution and fast Fourier transform(FFT) algorithm to calculate diffraction integral,the CGH is reconstructed by digital focus method.
通过卷积和快速傅立叶变换 (FFT)的方法计算衍射积分 ,以数字聚焦的方法进行再现。收藏指正
4.In this paper, algorithms for computing 2-D circular convolution by using Fast Polynomial Transform (FPT) are reviewed and discussed, and then an improved algorithm is presented.
本文研究利用快速多项式变换(FPT)计算二维循环卷积的几种算法,改进了其中的一种算法,编制了相应的计算机程序.收藏指正
5.Convolution of windowing function is traditionally used to explain the Discrete Fourier Transform(DFT) errors.
离散傅里叶变换(DFT)的误差一般是通过窗函数的卷积来解释的.收藏指正
6.An approach is made to simplify the search procedures for optimum-excitation-selection in CELP coder by DFT (Discrete Fourier Transform); i. e. by making use of the transform domain method to simplify convolution operation.
本文研究了一种用DFT(离散傅里叶变换)简化CELP编码中最佳激励选择的搜索过程,即利用变换域法简化卷积运算。收藏指正
7.According to the seismic convolution model, a kind of matched filters in time-scale domain is designed for echo signal detection of Ground Penetrating Radar (GPR) and implemented in this paper, which is applied to detect the location and amplitude of single reflection wavelet in receiving signal through continuous wavelet transform.
摘要根据地震褶积模型,设计并实现了应用于探地雷达回波信号检测的时间尺度域匹配滤波器,利用小波变换的时间定位性和尺度伸缩性,检测出雷达接收信号中单个反射子波的位置与强弱信息,利用已知的雷达发射子波模型还原回波信号,达到了滤除噪声、最佳接收的目的。收藏指正
8.The prevailing approaches depend on costly time domain convolution, using the frequency domain network parameters such as S-parameter, Y-parameter or ABCD parameters to find analytic solution, and finding the time domain approximations by FFT or even numerical inversion of laplace transform (NITL) if there are a large number of nonlinear devices in the network.
目前盛行的方法是采用费时的时域卷积法:首先运用诸如S、Y、ABCD的频域网络参数求出频域解析解,然后通过快速福利叶变换(FFT)得出时域近似解,如果网络中存在大规模的非线性设备,还需要采用数值逆拉普拉斯变换(NILT)。收藏指正
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