2.1 有限差分 数字信号分析的基础是差分学,这是牛顿首先提出的一个数学分支。 假设,函数y(t)用一组离散的t值列表给出 如果y(t_n)和y(t_k)为y(t)的任意两个值。则y(t)的一阶均差定义为 y(t_n,t_k)=y(t_n)-y(k~t)/(t_n-t_k)在大多数应用中,自变量t_n和t_k的下标是相邻整数。但在此定义中并不作此规定。同样, 2.1 Finite Difference The basis of digital signal analysis is difference learning, a mathematical branch first proposed by Newton. Suppose that the function y (t) gives a list of discrete t values ​​for any two values ​​if y (t_n) and y (t_k) are y (t). Then the first order mean difference of y (t) is defined as y (t_n, t_k) = y (t_n) -y (k_t) / (t_n_t_k) In most applications, the subscripts of the independent variables t_n and t_k Is an adjacent integer. However, this definition does not make this provision. same,