train

Functions

int main(int argc, char *argv[])

train [ option ]

-l int
- output length \((1 \le L)\)
-m int
- output order \((0 \le L - 1)\)
-p double
- frame period \((1 \le P)\)
-n int
- normalization type \((0 \le N \le 2)\)
  - 0 none
  - 1 power
  - 2 magnitude
stdout
- double-type pulse sequence

The output of this command is

\[ \begin{array}{cccc} x(0), & x(1), & \ldots, & x(L-1) \end{array} \]

where \(x(l)\) is non-zero at every \(P\) period. If \(L\) is not given, an infinite pulse sequence is generated.

There are three kind of normalization types:

\[\begin{split}\begin{eqnarray} \sum_{l=0}^{P-1} x(l+a) &=& 1, \quad (N=0) \\ \frac{1}{P} \sum_{l=0}^{P-1} x^2(l+a) &=& 1, \quad (N=1) \\ \frac{1}{P} \sum_{l=0}^{P-1} x(l+a) &=& 1, \quad (N=2) \end{eqnarray}\end{split}\]

where \(a\) is any index.

Parameters:

argc – [in] Number of arguments.
argv – [in] Argument vector.

Returns:

0 on success, 1 on failure.