Method and System for Super-Resolution Signal Reconstruction

Yoav Shechtman; Alexander Szameit; Mordechai Segev; Oren Cohen; Yonina C. Eldar; Snir Gazit; Pavel Sidorenko

Method and System for Super-Resolution Signal Reconstruction

Yoav Shechtman (Inventor), Alexander Szameit (Inventor), Mordechai Segev (Inventor), Oren Cohen (Inventor), Yonina C. Eldar (Inventor), Snir Gazit (Inventor), Pavel Sidorenko (Inventor)

Department of Computer Science and Applied Mathematics

Weizmann Institute of Science

Research output: Patent

Abstract

A method and system are presented for reconstructing an input field where the latter is sensed by a measurement system. The method comprises: providing measured data corresponding to output field of said measurement system; providing data about sparsity of the input field, and data about effective response function of the measurement system; and processing the measured data based on said known data, the processing comprising: determining a sparse vector as a function of said measured data, said data about the sparsity of the input field, and said data about the effective response function; and using the sparse vector for reconstructing the input information. The invention allows for sub-wavelength resolution in imaging applications, and allows for detection of very short pulses by slow detectors in some other applications.

Original language	English
Patent number	US2012188368, US9159119B2, US20120188368A1, CN102473286B, CN102473286A, WO2011004378A1, IL21736612A, EP2452311A1
IPC	G06K 9/ 46 A I
Priority date	8/07/09
State	Published - 26 Jul 2012

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title = "Method and System for Super-Resolution Signal Reconstruction",

abstract = "A method and system are presented for reconstructing an input field where the latter is sensed by a measurement system. The method comprises: providing measured data corresponding to output field of said measurement system; providing data about sparsity of the input field, and data about effective response function of the measurement system; and processing the measured data based on said known data, the processing comprising: determining a sparse vector as a function of said measured data, said data about the sparsity of the input field, and said data about the effective response function; and using the sparse vector for reconstructing the input information. The invention allows for sub-wavelength resolution in imaging applications, and allows for detection of very short pulses by slow detectors in some other applications.",

author = "Yoav Shechtman and Alexander Szameit and Mordechai Segev and Oren Cohen and Eldar, {Yonina C.} and Snir Gazit and Pavel Sidorenko",

year = "2012",

month = jul,

day = "26",

language = "الإنجليزيّة",

type = "Patent",

note = "US2012188368, US9159119B2, US20120188368A1, CN102473286B, CN102473286A, WO2011004378A1, IL21736612A, EP2452311A1; G06K 9/ 46 A I",

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TY - PAT

T1 - Method and System for Super-Resolution Signal Reconstruction

AU - Shechtman, Yoav

AU - Szameit, Alexander

AU - Segev, Mordechai

AU - Cohen, Oren

AU - Eldar, Yonina C.

AU - Gazit, Snir

AU - Sidorenko, Pavel

PY - 2012/7/26

Y1 - 2012/7/26

N2 - A method and system are presented for reconstructing an input field where the latter is sensed by a measurement system. The method comprises: providing measured data corresponding to output field of said measurement system; providing data about sparsity of the input field, and data about effective response function of the measurement system; and processing the measured data based on said known data, the processing comprising: determining a sparse vector as a function of said measured data, said data about the sparsity of the input field, and said data about the effective response function; and using the sparse vector for reconstructing the input information. The invention allows for sub-wavelength resolution in imaging applications, and allows for detection of very short pulses by slow detectors in some other applications.

AB - A method and system are presented for reconstructing an input field where the latter is sensed by a measurement system. The method comprises: providing measured data corresponding to output field of said measurement system; providing data about sparsity of the input field, and data about effective response function of the measurement system; and processing the measured data based on said known data, the processing comprising: determining a sparse vector as a function of said measured data, said data about the sparsity of the input field, and said data about the effective response function; and using the sparse vector for reconstructing the input information. The invention allows for sub-wavelength resolution in imaging applications, and allows for detection of very short pulses by slow detectors in some other applications.

M3 - براءة الإختراع

M1 - US2012188368, US9159119B2, US20120188368A1, CN102473286B, CN102473286A, WO2011004378A1, IL21736612A, EP2452311A1

ER -

Method and System for Super-Resolution Signal Reconstruction

Abstract

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