1) Fourier self-deconvolution
Fourier自去卷积
1.
The point-spread function σ, which is necessary for the FSD(Fourier self-deconvolution), is obtained in the experimental measurement.
探索了提高目标物成像纵向、横向分辨率的途径,利用图像恢复的基本原理增强光学层析成像的图像,由模拟得到FSD(Fourier自去卷积)所必需的点扩展函数,然后进行图像重组和图像处理工作,使图像取得更好的锐化、去噪的效果。
2.
In this thesis, the possibility of Fourier self-deconvolution(FSD), wavelet transform(WT), artificial neural network(ANN), genetic algorithms(GAs) and their combination to solving problems such as feature extraction of signals, de-noising and resolution of overlapped peaks have been explored.
全文共分四章，创新性主要有以下四方面： 1、将小波变换与傅里叶变换结合用于重叠峰分辨方法的研究，提出了频域小波变换Fourier自去卷积法。
2) Fourier self deconvolution
Fourier自去卷积
1.
A review on the basic principle of Fourier self deconvolution,research progress of the method and its application in process of chemical signal is presented with 52 references.
介绍了 Fourier自去卷积法的基本原理、研究进展及其在化学信号处理中的应用情况 ,引参考文献 52篇。
3) Self-deconvolution
自去卷积
4) Fourier self-deconvolution
傅里叶自去卷积
1.
A new method of Fourier self-deconvolution (FSD), Fourier self-deconvolution for power spectrum of oscillographic signal, was proposed.
以支持电解质溶液产生的示波计时电位信号作为线性函数、去极剂本身的示波信号作为去噪函数 ,提出了一种傅里叶自去卷积新方法———示波信号能谱的傅里叶自去卷积法。
2.
Using Fourier self-deconvolution(FSD) to enhance spectral resolution of AOTF atomic emission spectrometer is described .
本文报道了利用傅里叶自去卷积 (FSD)来提高AOTF原子发射光谱仪的光谱分辨率。
5) Deconvolution
[,di:kɔnvə'lu:ʃən]
去卷积
1.
Application of Deconvolution and Fit-Gaussion in FTIR Spectra Processing;
去卷积和高斯拟合方法在FTIR光谱处理中的应用
2.
Research on a time-domain deconvolution algorithm for ultra-wide band channel measurement;
超宽带信道时域测量中去卷积算法研究
3.
Measurement of time delay compensation for monopulse sum and difference channels by using deconvolution;
用去卷积方法测量和差通道延时补偿量
6) blind deconvolution
盲去卷积
1.
A weighted total variation algorithm was proposed for solving some blind deconvolution problems,and then we got the existence of energy functional minimum and educed corresponding thermal flow.
为了进一步观察此算法的实效性,与全变差盲去卷积模型的实验结果进行了比较。
补充资料：积小
1.谓从细微处累积。 2.从小。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条