文件名称:ConvolveByRiemannSum
- 所属分类：
- matlab例程
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 1kb
- 下载次数：
- 0次
- 提 供 者：
- edwar*****
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
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ConvolveByRiemannSum assumes that x(t) and h(t) have finite support,
and that the user provides samples of these functions in two vectors,
x and h. These vectors contain samples of x, sampled at time points
given in vector tx = tx_min:Delta_t:tx_max and samples of h sampled
at time points in vector th = th_min:Delta_t:th_max, respectively.
The functions x and h are assumed to be zero outside tx_min and tx_max
and outside th_min and th_max, respectively.
Note that while tx_min, tx_max, th_min, and th_max may differ, the time
sample vectors must share the same time-interval, Delta_t.-ConvolveByRiemannSum assumes that x(t) and h(t) have finite support,
and that the user provides samples of these functions in two vectors,
x and h. These vectors contain samples of x, sampled at time points
given in vector tx = tx_min:Delta_t:tx_max and samples of h sampled
at time points in vector th = th_min:Delta_t:th_max, respectively.
The functions x and h are assumed to be zero outside tx_min and tx_max
and outside th_min and th_max, respectively.
Note that while tx_min, tx_max, th_min, and th_max may differ, the time
sample vectors must share the same time-interval, Delta_t.
and that the user provides samples of these functions in two vectors,
x and h. These vectors contain samples of x, sampled at time points
given in vector tx = tx_min:Delta_t:tx_max and samples of h sampled
at time points in vector th = th_min:Delta_t:th_max, respectively.
The functions x and h are assumed to be zero outside tx_min and tx_max
and outside th_min and th_max, respectively.
Note that while tx_min, tx_max, th_min, and th_max may differ, the time
sample vectors must share the same time-interval, Delta_t.-ConvolveByRiemannSum assumes that x(t) and h(t) have finite support,
and that the user provides samples of these functions in two vectors,
x and h. These vectors contain samples of x, sampled at time points
given in vector tx = tx_min:Delta_t:tx_max and samples of h sampled
at time points in vector th = th_min:Delta_t:th_max, respectively.
The functions x and h are assumed to be zero outside tx_min and tx_max
and outside th_min and th_max, respectively.
Note that while tx_min, tx_max, th_min, and th_max may differ, the time
sample vectors must share the same time-interval, Delta_t.
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ConvolveByRiemannSum.m