The magnitude of a Frequency Response Function (FRF) calculated using blocking. There are two forms. Note: This item is deprecated and will be removed in a future release. |
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Syntax |
Mag = BlockFrfMag(vec1, vec2, block_size, overlap) Mag = BlockFrfMag(vec1, vec2, window, overlap) |
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Arguments |
Name |
Description |
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vec1 |
A vector of input to a system. |
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vec2 |
A vector of output from a given system. |
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block_size |
The number of elements to be used for each FRF (should be a power of 2). Must be a positive integer and not greater than the length of vec1. |
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window |
A vector of window weights to apply to each block. Its length should be a power of 2. This length is used as the block_size. |
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overlap |
The number of elements shared between consecutive blocks. Must be a non-negative integer and less than block_size. |
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Output |
Name |
Description |
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Mag |
A vector of the magnitude spectrum of the FRF. |
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Example 1 |
Find the magnitudes of the FRF between the input vector input and output vector output, using a block size of 256 and an overlap of 128: |
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Syntax |
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Output= BlockFrfMag(input, output, 256, 128) |
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Results |
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output is a vector of the magnitudes. |
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Example 2 |
Repeat the above example with a Hanning window instead. |
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Syntax |
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Output = BlockFrfMag(input, output, HannWin(256), 128) |
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Results |
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output is a vector of the magnitudes. |
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Comments |
The BlockFrfMag function uses blocking to calculate the magnitude of a Frequency Response Function (FRF). vec1 and vec2 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. |
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See Also: |