readme.txt

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This program contains the image reconstruction algorithms.  
Following is a listing of the functions required to implement the algorithms.

It is assumed that the user has available the following matlab toolboxes:

Optimization Toolbox
Signal Processing Toolbox
Statistic Toolbox
Image Processing Toolbox



GENERATION OF SIMULATED DATA

Samples.m

Graphical user interface (GUI) to visualize the estimated sample locations 
using points.m function.

points.m

Generates the sample position matrix.

echoback.m

Generate the target echo signature.

echobackcall.m

Loads data and provides point position in the target.


IMAGE RECONSTRUCTION FUNCTIONS

final.m 

Calls one of the several interpolation functions.

threest.m

Three step interpolation function.  It implements the three steps of the 
one-dimensional interpolation methods. It must call one of the functions 
among normal_l.m, normal_c.m or sinky.m.

normal_l.m

Linear interpolation function.

normal_c.m 

Cubic splines interpolation function.

sinky.m

Shannon reconstruction function.

nene.m

Nearest neighbor approximation function

euclide.m

Euclidean approximation function.

fsoum1.m 

Airy pattern interpolation function. 

fsoum2.m

Spatial domain interpolation function.


IMAGING PROGRAMS

soplot.m

Plots original images and interpolated images.

somax.m

Creates a GUI to find the amplitude of a local maxima.


ALGORITHM IMPLEMENTATION

1. Generate the estimated sample locations using samples.m
2. Generate the target echo signature with echobackcall.m if a simulated target
   is desired.  Skip this step if real data is available. If real data is 
   used, then the real data must be saved with zdata.mat.
3. Interpolate the data using final.m, which calls one of several interpolation 
   functions.  Note that threest.m calls one of three one-dimensional 
   interpolation functions.