k-Wave Toolbox

smooth

Smooth a matrix

Syntax

mat_sm = smooth(kgrid, mat)
mat_sm = smooth(kgrid, mat, restore_max)
mat_sm = smooth(kgrid, mat, [], window_type)
mat_sm = smooth(kgrid, mat, restore_max, window_type)

Description

smooth filters an input matrix using an n-dimensional frequency domain window created using getWin. If no window type is specified, a Blackman window is used.

Inputs

`kgrid`	k-Wave grid structure returned by `makeGrid`
`mat`	spatial distribution to smooth

Optional Inputs

`restore_max`	Boolean controlling whether the maximum value is restored after smoothing (default = `false`)
`window_type`	shape of the smoothing window; any valid inputs to `getWin` are supported (default = `'Blackman'`)

Outputs

mat_sm

smoothed spatial distribution

Examples

2D FFT Reconstruction For A Line Sensor
3D FFT Reconstruction For A Planar Sensor
2D Time Reversal For A Line Sensor
2D Time Reversal For A Circular Sensor
3D Time Reversal For A Planar Sensor
3D Time Reversal For A Spherical Sensor
Image Reconstruction With Directional Sensors
Image Reconstruction With Bandlimited Sensors
Image Reconstruction With Compensation For Acoustic Absorption
Source Smoothing
Filtering A Delta Function Input Signal
Modelling Power Law Absorption