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公开(公告)号：US12138062B2
公开(公告)日：2024-11-12
申请号：US16770706
申请日：2018-12-10
Applicant: Nokia Technologies Oy
Inventor： Michael Woldegebriel , Mikko Honkala , Leo Karkkainen , Satu Rajala , Harri Lindholm
IPC: A61B5/352 , A61B5/00 , A61B5/353 , A61B5/355 , A61B5/358 , G06F17/17 , G06F17/18 , G06F18/2321 , G06F18/2415 , G16H50/20 , G16H50/70 , A61B5/11
Abstract: A method of detection of a recurrent feature of interest within a signal including: obtaining evidence, based on a signal, the evidence including a probability density function for each of a plurality of parameters for parameterizing the signal, including at least one probability density function for a parameter, of the plurality of parameters, that positions a feature of interest within signal data of the signal; parameterizing a portion of the signal data from the signal based upon a hypothesis that a point of interest in the signal data is a position of the feature of interest; determining a posterior probability of the hypothesis being true given the portion of the signal data by combining a prior probability of the hypothesis and a conditional probability of observing the portion of the signal data given the hypothesis.
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公开(公告)号：US20160314392A1
公开(公告)日：2016-10-27
申请号：US15081654
申请日：2016-03-25
Applicant: Nokia Technologies Oy
Inventor： Mikko Honkala , Leo Mikko Johannes Kärkkäinen , Akos Vetek , Mathias Berglund
Abstract: Methods and apparatus, including computer program products, are provided for receiving, at a bidirectional recurrent neural network, a music file preprocessed to include at least one token data inserted within at least one location in the music file in order to enable varying the music file; generating, by the bidirectional recurrent neural network, an output music file, wherein the bidirectional recurrent neural network generates music data to replace the at least one token data; and providing, by the bidirectional recurrent neural network, the output music file representing a varied version of the music file. Related apparatus, systems, methods, and articles are also described.
Abstract translation: 提供了包括计算机程序产品的方法和装置，用于在双向循环神经网络处接收预处理以包括插入在音乐文件中的至少一个位置中的至少一个令牌数据的音乐文件，以便能够改变音乐文件 ; 通过所述双向循环神经网络生成输出音乐文件，其中所述双向循环神经网络生成音乐数据以替换所述至少一个令牌数据; 并且通过双向循环神经网络提供表示音乐文件的不同版本的输出音乐文件。 还描述了相关装置，系统，方法和制品。
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公开(公告)号：US11564609B2
公开(公告)日：2023-01-31
申请号：US16759810
申请日：2018-10-01
Applicant: Nokia Technologies Oy
Inventor： Kim Blomqvist , Mikko Honkala , Kiti Müller , Harri Lindholm
Abstract: A method, apparatus and computer program, the method comprising: receiving a first biopotential signal obtained by a first capacitive sensor; receiving a second biopotential signal obtained by a second capacitive sensor, the first capacitive sensor and the second capacitive sensor being positioned at different locations on a subject; synchronising biopotential signals obtained by the first capacitive sensor and the second capacitive sensor by applying a time adjustment to biopotential signals obtained by at least one of the first capacitive sensor or the second capacitive sensor; wherein features in at least one of the first biopotential signal and the second biopotential signal are used to synchronise the biopotential signals obtained by the first capacitive sensor and the second capacitive sensor.
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公开(公告)号：US20220329359A1
公开(公告)日：2022-10-13
申请号：US17597326
申请日：2019-07-04
Applicant: NOKIA TECHNOLOGIES OY
Inventor： Dani Korpi , Leo Kärkkäinen , Mikko Honkala , Janne Huttunen , Mikko Uusitalo
Abstract: An apparatus, method and SW for HARQ control are disclosed. The method includes: analyzing (514) a beginning part of a data packet received on a specific frequency band and in a scheduled slot between a user apparatus and a radio access network to predict a success of decoding the data packet after received in full; and controlling (516) a hybrid automatic repeat request procedure associated with the data packet based on the predicted success using the specific frequency band and the scheduled slot for full-duplex inband signaling.
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公开(公告)号：US11182895B2
公开(公告)日：2021-11-23
申请号：US16468964
申请日：2017-11-23
Applicant: Nokia Technologies Oy
Inventor： Mikko Honkala , Akos Vetek , Tapio Taipalus , Harri Lindholm
Abstract: An apparatus configured to generate an output quality error estimate using a machine-learning error estimation model to compare an output meeting a predetermined quality threshold with an output image reconstructed from a plurality of images, and provide the output quality error estimate for use in estimating if a second subsequent image is required, in addition to a first subsequent image to obtain a cumulative output having an output quality error meeting a predetermined error threshold. Also an apparatus configured, using a received output quality error estimate generated using a machine-learning error estimation model as above, to estimate if a second subsequent image is required, in addition to a first subsequent image, to obtain a cumulative output having an output quality error meeting a predetermined error threshold.
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Patent Agency Ranking
公开(公告)号：US12231240B2
公开(公告)日：2025-02-18
申请号：US17597326
申请日：2019-07-04
Applicant: NOKIA TECHNOLOGIES OY
Inventor： Dani Korpi , Leo Kärkkäinen , Mikko Honkala , Janne Huttunen , Mikko Uusitalo
IPC: H04L1/1812 , H04L1/1829 , H04L1/1867 , H04W72/0453 , H04W72/54
Abstract: An apparatus, method and SW for HARQ control are disclosed. The method includes: analyzing (514) a beginning part of a data packet received on a specific frequency band and in a scheduled slot between a user apparatus and a radio access network to predict a success of decoding the data packet after received in full; and controlling (516) a hybrid automatic repeat request procedure associated with the data packet based on the predicted success using the specific frequency band and the scheduled slot for full-duplex inband signaling.
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公开(公告)号：US11228767B2
公开(公告)日：2022-01-18
申请号：US16771115
申请日：2018-12-03
Applicant: Nokia Technologies Oy
Inventor： Miska Hannuksela , Mikko Honkala , Jani Lainema , Francesco Cricri , Emre Aksu
IPC: H04N19/149 , H04N19/176 , H04N19/436 , H04N19/65 , G06N3/08
Abstract: A method comprising: deriving a first prediction block (608) at least partly based on an output of a neural net (602) using a first set of parameters; deriving a first encoded prediction error block (614-620) through encoding a difference of the first prediction block and a first input block; encoding (620) the first encoded prediction error block into a bitstream; deriving a first reconstructed prediction error block (624) from the first encoded prediction error block; deriving a training signal (628) from one or both of the first encoded prediction error block and/or the first reconstructed prediction error block (624); retraining (630) the neural net (602) with the training signal (628) to obtain a second set of parameters for the neural net (602); deriving a second prediction block (608) at least partly based on an output of the neural net using the second set of parameters; deriving a second encoded prediction error block (614-620) through encoding a difference of the second prediction block and a second input block; and encoding (620) the second encoded prediction error block into a bitstream. The invention relates to image or video encoding or decoding, especially by online training a neural network (602) that is in the prediction loop.
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公开(公告)号：US20200305748A1
公开(公告)日：2020-10-01
申请号：US16759810
申请日：2018-10-01
Applicant: NOKIA TECHNOLOGIES OY
Inventor： Kim Blomqvist , Mikko Honkala , Kiti Müller , Harri Lindholm
IPC: A61B5/04 , A61B5/0402 , A61B5/0476 , A61B5/0496 , A61B5/0488 , A61B5/00 , A61B5/0428
Abstract: A method, apparatus and computer program, the method comprising: receiving a first biopotential signal obtained by a first capacitive sensor; receiving a second biopotential signal obtained by a second capacitive sensor, the first capacitive sensor and the second capacitive sensor being positioned at different locations on a subject; synchronising biopotential signals obtained by the first capacitive sensor and the second capacitive sensor by applying a time adjustment to biopotential signals obtained by at least one of the first capacitive sensor or the second capacitive sensor; wherein features in at least one of the first biopotential signal and the second biopotential signal are used to synchronise the biopotential signals obtained by the first capacitive sensor and the second capacitive sensor.
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公开(公告)号：US10685663B2
公开(公告)日：2020-06-16
申请号：US15956457
申请日：2018-04-18
Applicant: Nokia Technologies Oy
Inventor： Asta Maria Karkkainen , Leo Mikko Johannes Karkkainen , Mikko Honkala , Sampo Vesa
IPC: H03B29/00 , G10L21/0208 , G10K11/16 , G10L25/84
Abstract: A method includes accessing, by at least one processing device, an audible signal including at least one in-ear microphone audible signal and at least one external microphone audible signal and at least one noise signal; training a generative network to generate an enhanced external microphone signal from an in-ear microphone signal based on the at least one in-ear microphone audible signal and the at least one external microphone audible signal; and outputting the generative network.
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公开(公告)号：US10572447B2
公开(公告)日：2020-02-25
申请号：US15081654
申请日：2016-03-25
Applicant: Nokia Technologies Oy
Inventor： Mikko Honkala , Leo Mikko Johannes Kärkkäinen , Akos Vetek , Mathias Berglund
Abstract: Methods and apparatus, including computer program products, are provided for receiving, at a bidirectional recurrent neural network, a music file preprocessed to include at least one token data inserted within at least one location in the music file in order to enable varying the music file; generating, by the bidirectional recurrent neural network, an output music file, wherein the bidirectional recurrent neural network generates music data to replace the at least one token data; and providing, by the bidirectional recurrent neural network, the output music file representing a varied version of the music file. Related apparatus, systems, methods, and articles are also described.
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