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EP3618287

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Extract from the Register of European Patents

EP About this file: EP3618287

EP3618287 - SIGNAL SAMPLING WITH JOINT TRAINING OF LEARNABLE PRIORS FOR SAMPLING OPERATOR AND DECODER [Right-click to bookmark this link]
Status	The patent has been granted Status updated on 25.08.2023 Database last updated on 26.06.2024
Former	Grant of patent is intended Status updated on 28.06.2023
Former	Examination is in progress Status updated on 24.12.2021
Former	Request for examination was made Status updated on 18.09.2020
Former	The application has been published Status updated on 31.01.2020
Most recent event Tooltip	17.05.2024	Lapse of the patent in a contracting state New state(s): PL	published on 19.06.2024 [2024/25]
Applicant(s)	For all designated states Université de Genève 24, Rue du Général-Dufour 1211 Genève 4 / CH
	[2020/10]
Inventor(s)	01 / Voloshynovskiy, Sviatoslav Route d'Hermance 13a 1222 Vésenaz / CH
	02 / Taran, Olga 29, chemin de la Vendée 1213 Petit-Lancy / CH
	03 / Holotyak, Taras 10, rue Liotard 1202 Genève / CH
	04 / Ferrari, Martino 7, via Dacci 43123 Parma / IT
	05 / Eguiazarian, Karen Kurpantie 10 as. 3 33100 Tampere / FI
	[2020/10]
Representative(s)	Sammer, Thomas per Mens Intellectual Property Consulting Sàrl Rue Agasse 54 1208 Genève / CH
	[2020/10]
Application number, filing date	18191494.6	29.08.2018
	[2020/10]
Filing language	EN
Procedural language	EN
Publication	Type:	A1 Application with search report
	No.:	EP3618287
	Date:	04.03.2020
	Language:	EN
	[2020/10]
	Type:	B1 Patent specification
	No.:	EP3618287
	Date:	27.09.2023
	Language:	EN
	[2023/39]
Search report(s)	(Supplementary) European search report - dispatched on:	EP	13.02.2019
Classification	IPC:	H03M7/30, G06T9/00	[2023/26]
	CPC:	H03M7/3062 (EP,US); G06F18/2148 (US); G06F18/2193 (US); G06F18/241 (US); G06T9/00 (US); G06V10/7747 (EP,US); (+) G06V10/7796 (EP,US); H04N19/44 (EP) (-)
	Former IPC [2020/10]	H03M7/30
Designated contracting states	AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LI, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR [2020/41]
Former [2020/10]	AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LI, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR
Title	German:	SIGNALABTASTUNG MIT GLEICHZEITIGER ANPASSUNG VON LERNFÄHIGEN PRIOREN FÜR ABTASTOPERATOR UND DECODER	[2023/26]
	English:	SIGNAL SAMPLING WITH JOINT TRAINING OF LEARNABLE PRIORS FOR SAMPLING OPERATOR AND DECODER	[2020/10]
	French:	ÉCHANTILLONNAGE DE SIGNAUX AVEC ADAPTATION SIMULTANÉE DE PRÉALABLES APPRENABLES POUR OPÉRATEUR ET DÉCODEUR	[2023/26]
	Former [2020/10]	SIGNALABTASTUNG MIT GLEICHZEITIGER ANPASSUNG VON LERNFÄHIGEN PRIOREN FÜR ABTASTOPERATOR UND ENTSCHLÜSSELER
	Former [2020/10]	ÉCHANTILLONNAGE DE SIGNAUX AVEC ADAPTATION SIMULTANÉE DE PRÉALABLES APPRENABLES POUR OPÉRATEUR ET DÉCRYPTEUR
Examination procedure	27.08.2020	Amendment by applicant (claims and/or description)
	27.08.2020	Examination requested [2020/43]
	27.08.2020	Date on which the examining division has become responsible
	23.12.2021	Despatch of a communication from the examining division (Time limit: M04)
	28.03.2022	Reply to a communication from the examining division
	29.06.2023	Communication of intention to grant the patent
	31.07.2023	Fee for grant paid
	31.07.2023	Fee for publishing/printing paid
	31.07.2023	Receipt of the translation of the claim(s)
Fees paid	Renewal fee
	18.08.2020	Renewal fee patent year 03
	24.08.2021	Renewal fee patent year 04
	19.08.2022	Renewal fee patent year 05
	21.08.2023	Renewal fee patent year 06
Opt-out from the exclusive Tooltip competence of the Unified Patent Court	See the Register of the Unified Patent Court for opt-out data
	Responsibility for the accuracy, completeness or quality of the data displayed under the link provided lies entirely with the Unified Patent Court.
Lapses during opposition Tooltip	CZ	27.09.2023
	ES	27.09.2023
	HR	27.09.2023
	PL	27.09.2023
	RO	27.09.2023
	RS	27.09.2023
	SK	27.09.2023
	SM	27.09.2023
	NO	27.12.2023
	GR	28.12.2023
	IS	27.01.2024
	[2024/25]
Former [2024/23]	CZ	27.09.2023
	ES	27.09.2023
	HR	27.09.2023
	RO	27.09.2023
	RS	27.09.2023
	SK	27.09.2023
	SM	27.09.2023
	NO	27.12.2023
	GR	28.12.2023
	IS	27.01.2024
Former [2024/20]	HR	27.09.2023
	RS	27.09.2023
	SM	27.09.2023
	NO	27.12.2023
	GR	28.12.2023
	IS	27.01.2024
Former [2024/11]	HR	27.09.2023
	RS	27.09.2023
	NO	27.12.2023
	GR	28.12.2023
Former [2024/08]	NO	27.12.2023
	GR	28.12.2023
Documents cited:	Search	[I] - BARAN GOZCU ET AL, "Learning-Based Compressive MRI", IEEE TRANSACTIONS ON MEDICAL IMAGING., US, (20180601), vol. 37, no. 6, doi:10.1109/TMI.2018.2832540, ISSN 0278-0062, pages 1394 - 1406, XP055550221 [I] 1-18 * paragraph [000I] - paragraph [0IV.] * DOI: http://dx.doi.org/10.1109/TMI.2018.2832540
		[A] - ROBIN TIBOR SCHIRRMEISTER ET AL, "Deep learning with convolutional neural networks for EEG decoding and visualization : Convolutional Neural Networks in EEG Analysis", HUMAN BRAIN MAPPING, (20170807), vol. 38, no. 11, doi:10.1002/hbm.23730, ISSN 1065-9471, pages 5391 - 5420, XP055537466 [A] 1,2,7-18 * the whole document * DOI: http://dx.doi.org/10.1002/hbm.23730
		[A] - Nikhil Parthasarathy ET AL, "Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons", bioRxiv, doi:10.1101/153759, (20180528), URL: https://www.biorxiv.org/content/biorxiv/early/2017/11/08/153759.full.pdf??collection=, XP055550174 [A] 1,17,18 * paragraph [0001] - paragraph [0003] * DOI: http://dx.doi.org/10.1101/153759
		[A] - Weihong Xu ET AL, "Joint Neural Network Equalizer and Decoder Lab of Efficient Architecture for Digital Communication and Signal Processing (LEADS)", (20180705), URL: https://arxiv.org/pdf/1807.02040.pdf, (20190131), XP055550207 [A] 1,2,17,18 * paragraph [000I] - paragraph [00II] *
	by applicant	US2017109650
		- S. FOUCART; H. RAUHUT, "A mathematical introduction to compressive sensing", Birkhauser Basel, (20130000), vol. 1, no. 3
		- I. PRUDYUS et al., "Robust image restoration matched with adaptive aperture formation in radar imaging systems with sparse antenna arrays", European Signal Processing Conference EUSIPCO, (19980909), pages 1 - 4, XP032767277
		- L. BALDASSARRE et al., "Learning-based compressive subsampling", IEEE Journal of Selected Topics in Signal Processing, (20160000), vol. 10, no. 4, doi:doi:10.1109/JSTSP.2016.2548442, pages 809 - 822, XP011610043 DOI: http://dx.doi.org/10.1109/JSTSP.2016.2548442
		- K. KAVUKCUOGLU et al., "Fast inference in sparse coding algorithms with applications to object recognition", Computational and Biological Learning Lab, Courant Institute, NYU, Tech Report CBLL-TR-2008-12-01
		- S. BOYD, "Distributed optimization and statistical learning via the alternating direction method of multipliers", Foundations and Trends in Machine Learning, (20110000), vol. 3, no. 1, doi:doi:10.1561/2200000016, pages 1 - 122, XP055127725 DOI: http://dx.doi.org/10.1561/2200000016
		- A. DANIELYAN, "Bm3d frames and variational image deblurring", IEEE Transactions on Image Processing, (20120400), vol. 21, no. 4, doi:doi:10.1109/TIP.2011.2176954, pages 1715 - 1728, XP011491989 DOI: http://dx.doi.org/10.1109/TIP.2011.2176954
		- "Learning fast approximations of sparse coding", FURTHERMORE, K. GREGOR; Y. LECUN, Proceedings of the 27th International Conference on Machine Learning (ICML, (20100000), pages 399 - 406
		- M. AHARON et al., "K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation", IEEE Transactions on signal processing, (20060000), vol. 54, no. 11, pages 4311 - 4322, XP007916325
		- S. RAVISHANKAR; Y. BRESSLER, Learning Sparsifying transform, (20130000), vol. 61, no. 5-8, pages 1072 - 1086

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