block_rms

This function is used to compute the RMS (root-mean-square) of successive blocks of samples.

High-resolution movement-sensor tags typically include accelerometers
to measure body posture and sudden movements or changes in speed,
magnetometers to measure direction of travel, and pressure sensors
to measure dive depth in aquatic or marine animals. The sensors in these tags usually sample many times per second. Some tags include sensors for speed, turning rate (gyroscopes), and sound. This package provides software tools to facilitate calibration, processing, and analysis of such data. Tools are provided for: data import/export;
calibration (from raw data to calibrated data in scientific units);
visualization (for example, multi-panel time-series plots);
data processing (such as event detection, calculation of derived metrics like jerk and
dynamic acceleration, dive detection, and dive parameter calculation); and statistical analysis (for example, track reconstruction, a rotation test, and Mahalanobis distance analysis).

Stacy DeRuiter

tagtools

Work with Data from High-Resolution Biologging Tags

Mark Johnson

David Sweeney

Ye Joo McNamara-Oh

Samuel Fynewever

(Oghenkevwe) Racheal Tejevbo

Tiago Marques

Yuqian Wang

(Oghenesuvwe) Su Ogedegbe

block_rms function

<dl><dt>X</dt>
<dd>A vector or a matrix containing samples of a signal in each column.</dd>
<dt>n</dt>
<dd>The number of samples from X to use in each analysis block.</dd>
<dt>nov</dt>
<dd>The number of samples that the next block overlaps the previous block.</dd></dl>

Arguments

Compute RMS of sample blocks — block_rms

<dl>

<dt>X</dt>
<dd>A vector or a matrix containing samples of a signal in each column.</dd>


<dt>n</dt>
<dd>The number of samples from X to use in each analysis block.</dd>


<dt>nov</dt>
<dd>The number of samples that the next block overlaps the previous block.</dd>

</dl>

Compute RMS of sample blocks

block_rms: Compute RMS of sample blocks

Description

Usage

Value

Arguments

Examples