interpCartData

Interpolate data from a Cartesian to a binary sensor mask.

Syntax

binary_sensor_data = interpCartData(kgrid, cart_sensor_data, cart_sensor_mask, binary_sensor_mask)
binary_sensor_data = interpCartData(kgrid, cart_sensor_data, cart_sensor_mask, binary_sensor_mask, interp)

Description

interpCartData takes a matrix of time-series data recorded over a set of Cartesian sensor points given by cart_sensor_mask and computes the equivalent time-series at each sensor position on the binary sensor mask binary_sensor_mask using interpolation. The properties of binary_sensor_mask are defined by the k-Wave grid object kgrid. Two and three dimensional data are supported.

Inputs

kgrid	k-Wave grid object returned by kWaveGrid
cart_sensor_data	original sensor data measured over cart_sensor_mask indexed as cart_sensor_data(sensor position, time)
cart_sensor_mask	Cartesian sensor mask over which cart_sensor_data is measured
binary_sensor_mask	binary sensor mask at which equivalent time-series are computed via interpolation

Optional Inputs

interp

interpolation mode used to compute the time-series, both 'nearest' and 'linear' (two-point) modes are supported (default = 'nearest')

Outputs

binary_sensor_data

array of time-series corresponding to the sensor positions given by binary_sensor_mask

Examples

• 2D Time Reversal For A Circular Sensor
• 3D Time Reversal For A Spherical Sensor
• Image Reconstruction With Compensation For Acoustic Absorption

See Also

cart2grid, kspaceFirstOrder2D, kspaceFirstOrder3D, kWaveGrid