Note: This page has been translated by MathWorks. Please click here

To view all translated materials including this page, select Japan from the country navigator on the bottom of this page.

To view all translated materials including this page, select Japan from the country navigator on the bottom of this page.

Resample signal with peaks

`[`

* Xout*,

`Intensitiesout`

`X`

`Intensities`

`N`

msresample(..., 'Uniform',

`UniformValue`

msresample(..., 'Range',

`RangeValue`

msresample(..., 'RangeWarnOff',

`RangeWarnOffValue`

msresample(..., 'Missing',

`MissingValue`

msresample(..., 'Window',

`WindowValue`

msresample(..., 'Cutoff',

`CutoffValue`

msresample(..., 'ShowPlot',

`ShowPlotValue`

`X` | Vector of separation-unit values for
a set of signals with peaks. The number of elements in the vector
equals the number of rows in the matrix .
The separation unit can quantify wavelength, frequency, distance,
time, or m/z depending on the instrument that generates the signal
data.`Intensities` |

`Intensities` | Matrix of intensity values for a set
of peaks that share the same separation-unit range. Each row corresponds
to a separation-unit value, and each column corresponds to either
a set of signals with peaks or a retention time. The number of rows
equals the number of elements in vector . `X` |

`N` | Positive integer specifying the total number of samples. |

Use the following syntaxes with data from any separation technique that produces signal data, such as spectroscopy, NMR, electrophoresis, chromatography, or mass spectrometry.

`[`

resamples
raw noisy signal data, * Xout*,

`Intensitiesout`

`X`

`Intensities`

`N`

`Intensities`

`N`

`[min(``X`

)
max(`X`

)]

. `X`

`msresample`

applies
a lowpass filter before resampling to minimize aliasing.For the antialias filter, `msresample`

uses
a linear-phase FIR filter with a least-squares error minimization.
The cutoff frequency is set by the largest down-sampling ratio when
comparing the same regions in the * X* and

`Xout`

`msresample`

is particularly useful when you
have signals with different separation-unit vectors and you want to
match the scales.

`msresample(..., '`

calls * PropertyName*',

`PropertyValue`

`msresample`

with optional properties
that use property name/property value pairs. You can specify one or
more properties in any order. Each `PropertyName`

```
msresample(..., 'Uniform',
```

, when * UniformValue*,
...)

`UniformValue`

is `true`

,
it forces the vector `X`

`false`

.`msresample(..., 'Range', `

specifies a * RangeValue*,
...)

`1`

-by-`2`

vector
with the separation-unit range for the output signal, `Intensitiesout`

`RangeValue`

`[min(``X`

) max(`X`

)

].
Default value is the full range `[min(``X`

)
max(`X`

)]

. When `RangeValue`

`X`

`msresample`

extrapolates
the signal with zeros and returns a warning message.`msresample(..., 'RangeWarnOff', `

controls the return of a warning message when * RangeWarnOffValue*,
...)

`RangeValue`

`X`

`RangeWarnOffValue`

`true`

or `false`

(default).`msresample(..., 'Missing', `

, when * MissingValue*,
...)

`MissingValue`

is `true`

,
analyzes the input vector, `X`

`false`

. If the down-sample
factor is large, checking for dropped samples might not be worth the
extra computing time. Dropped samples can only be recovered if the
original separation-unit values follow a linear or a quadratic function
of the `X`

`msresample(..., 'Window', `

specifies the window used when calculating parameters
for the lowpass filter. Enter * WindowValue*,
...)

`'Flattop'`

, `'Blackman'`

, `'Hamming`

',
or `'Hanning'`

. The default value is `'Flattop'`

.`msresample(..., 'Cutoff', `

specifies the cutoff frequency. Enter a scalar value
from * CutoffValue*,
...)

`0`

to `1`

(Nyquist frequency
or half the sampling frequency). By default, `msresample`

estimates
the cutoff value by inspecting the separation-unit vectors, `X`

`XOut`

`X`

`msresample(..., 'ShowPlot', `

plots the original and the resampled signal. When * ShowPlotValue*,
...)

`msresample`

is
called without output arguments, the signals are plotted unless `ShowPlotValue`

is `false`

.
When `ShowPlotValue`

is `true`

,
only the first signal in `Intensities`

`ShowPlotValue`

can
also contain an index to one of the signals in `Intensities`

LC/MS data analysis requires extended amounts of memory from the operating system.

If you receive errors related to memory, try the following:

Increase the virtual memory (swap space) for your operating system as described in Resolve “Out of Memory” Errors (MATLAB).

If you receive errors related to Java

^{®}heap space, increase your Java heap space:If you have MATLAB

^{®}version 7.10 (R2010a) or later, seeJava Heap Memory Preferences (MATLAB)

If you have MATLAB version 7.9 (R2009b) or earlier, see

Was this topic helpful?