smooth

Smooth a matrix.

Syntax

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

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

See Also

kWaveGrid