blockfrfmag
The magnitude of a Frequency Response Function (FRF) calculated using blocking.
Syntax
blockfrfmag(vec_expr1, vec_expr_2, block_size, overlap)
Argument
- vec_expr1
- The input to a system.
- vec_expr2
- The output from a given system.
- block_size
- The number of elements to be used for each FRF (should be a power of 2).
- overlap
- The number of elements shared between consecutive blocks.
Example
| Templex Expression | Result |
|---|---|
{blockfrfmag(c1.y, c2.y, 256, 128)} |
A vector is generated which is the system response amplitude of the FRF for input c1.y and output c2.y, using a block size of 256 and an overlap of 128. |
| Curve Math Vectors | Result |
|---|---|
x = freq(c1.x[0:255:1])
|
Given c1 and c2, a curve is created which is the system response amplitude of the FRF for input c1 and output c2, using a block size of 256 and an overlap of 128. |
Comments
The blockfrfmag function uses blocking to calculate the magnitude of a Frequency Response Function (FRF). vec_expr_1 and vec_expr_2 are assumed to be evenly sampled. The resultant vector has a number of elements equal to the least power of two greater than or equal to block_size.
The FRF is complex-valued and used to map time-domain data into the frequency domain.
The blockfrfmag function is different from a normal FRF in that it introduces blocking. The input vector is subdivided into blocks, each having block_size number of elements. An FRF is then performed on each individual block. The results of these FRFs are then averaged to give the final result.