DataSampling.h

Esimation algorithms such as the Pixon method need sampled and unitless versions of the data. This class is a base class for such sampling classes. Derived examples are for single dish imaging (SDDataSampling) and image deconvolution (ImageDataSampling).

THe calculated quantities are

The Data Sampling Function: the coordinates of the sampled points in some space
The Data: the actual data points corresponding to the Data Sampling Function
The Error: the error per data point.
The Point Response Function in that space
The DataSampling object is constructed with the data sources as arguments, and then the calculate method is used to find the above quantities. The estimation method may then retrieve the data quantities as needed.

Example
// Define an estimator PixonProcessor pp;
// Get the model image PagedImage modelImage(modelName);
// Set up the data sampling VPSkyJones vp(ms, True, parAngleInc, squintType); SDDataSampling ds(ms, vp);
// Calculating data sampling, etc.
ds.calculate(modelImage);
// Finding pixon solution pp.calculate(ds);

Motivation
Define an interface to allow efficient processing of chunks of data

To Do

DataSampling.h

Classes

class DataSampling

Interface

Description

Prerequisite

Etymology

Synopsis

Example

Motivation

To Do

Member Description

DataSampling()

DataSampling(const DataSampling &other)

DataSampling &operator=(const DataSampling &other)

virtual ~DataSampling()

const Array<Float>& getDX() const

const Array<Float>& getData() const

const Array<Float>& getSigma() const

const Array<Float>& getPRF() const

String getIDLScript() const

void ok()