1) Convolution and deconvolution adsorptive complex wave
卷积和去卷积配位吸附波
2) deconvolution filter
去卷积滤波器
3) 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
4) Self-deconvolution
自去卷积
5) 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。
6) convolution sum
卷积和
1.
The meaning of calculating convolution sum is discussed in this paper, and based on this, two new methods of calculating convolution sum is put forward.
讨论了求卷积和的意义,求卷积和常用的方法及优缺点,在此基础上提出了两种新的求卷积和的计算方法,并阐述了其基本原理,这些方法避开了求卷积和时需大量画图的繁琐过程,简化了求卷积和的计算。
2.
Methods for calculating continuous convolution and finite length convolution are given,and several solution methods to the convolution sum of general discrete time series,including analytical method,tabulation method,methods by described in utilizing the properties of convolution sum and applying unit sample are described in detail and illustrated by examples.
连续卷积与有限长序列的卷积和在文献中给出了多种解法。
补充资料：孙位《高逸图》卷
中国唐代画家孙位的绘画作品。孙位 (9世纪)一名遇，会稽(今浙江绍兴)人。唐末广明初年曾随僖宗李儇入蜀。善画人物山水，松石墨竹。此图绢本，设色。纵45.2厘米，横 168.7厘米。从内容看，即是《竹林七贤图》的一段。画面以 4个士大夫为主体，列坐于设色绚丽的花毯上，他们身旁各有侍者一人。图右第一人为山涛；第二人王戎；第三人刘伶；第四人阮籍。该图采取作为人物衬景的树木竹石与人物相间隔的构图方式，用笔工细，设色浓重，其湖石的皴染完整，开五代画法的先河。卷首右上有北宋赵佶签题"孙位高逸图"，图的左右边及隔水绢上钤有赵佶"政和"、"宣和"、"双龙"、"御书"诸印，中间钤有赵佶"睿思东"朱文长方印3方。图后有明司马垔跋。曾经清梁清标收藏,后入清内府，《石渠宝笈》著录。现藏上海博物馆。
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参考词条