1) difference signal convolution
离散信号卷积
1.
Though the analysis of difference signal s convolution and its calculating method in the linear system,the author studies the common calculating method of difference signal convolution and several existent disadvantages.
通过对信号与线性系统中离散信号卷积及其运算方法的分析,研究离散信号卷积运算常用的方法及存在的缺点,在此基础上提出了一种简便的求离散信号卷积的方法,该方法简便易懂,避开了求离散信号卷积时需大量作图的繁琐过程,从而简化了求离散信号卷积的计算。
2) discrete convolution
离散卷积
1.
Simulated study of realizing discrete convolution and discrete correlation by using fast fourier transform;
离散卷积和相关运算的快速傅立叶仿真研究
2.
On the basis of the discrete convolution method (DOM), a modified discrete convolution method (MDOM) is proposed by zeroizing the Frobenius norm of the iterative matrix.
该文在将离散卷积法(DCM)公式化的基础上,通过修改迭代矩阵,使其Frobenius范数趋于零,得到一种新的迭代矩阵,形成了修正离散卷积法。
3.
This papers introduces an algorithm for calculating the linear discrete convolution with FFT.
介绍一种利用快速傅里叶变换计算线性离散卷积的算法,给出了此算法的原理、数学模型、实现方法以及进一步减少计算量的措施等,仿真表明此算法与一般算法相比,在运算量方面优点明显。
3) convolutive signals
卷积信号
4) the discrete convolution
离散卷积分
1.
This essay uses the discrete convolution having the Toeplitz matrix characteristics to prolongate it to cyclic Toeplitz matrix and then multiplying it with the prolongated surveying data vectors.
本文利用离散卷积分具有Toeplitz矩阵的性质,将其拓展为循环Toeplitz与拓展观测数据矢量的乘积,利用循环Toeplitz的Fourier表示,实现离散卷积分的快速算法。
5) signal decorivolution
信号解卷积
补充资料：离散时间信号的Z变换
见变换&dbname=ecph&einfoclass=item">Z变换。
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