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公开(公告)号：US20230131067A1
公开(公告)日：2023-04-27
申请号：US17968163
申请日：2022-10-18
发明人： Pierre Demaj , Laurent Folliot
摘要： According to one aspect, a method is proposed for detecting events or elements in physical signals by implementing an artificial neural network. The method includes an assessment of a probability of the presence of the event or the element by an implementation of the neural network. The implementation of the neural network according to a nominal mode takes as input a physical signal having a first resolution, called nominal resolution, when the probability of presence of the event or the element is greater than a threshold. The implementation of the neural network according to a low power mode takes as input a physical signal having a second resolution, called reduced resolution, lower than the first resolution, when the probability of presence of the event or the element is below the threshold.
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公开(公告)号：US11354238B2
公开(公告)日：2022-06-07
申请号：US16691957
申请日：2019-11-22
发明人： Laurent Folliot , Pierre Demaj
摘要： A method can be used to determine an overall memory size of a global memory area to be allocated in a memory intended to store input data and output data from each layer of a neural network. An elementary memory size of an elementary memory area intended to store the input data and the output data from the layer is determined for each layer. The elementary memory size is in the range between a memory size for the input data or output data from the layer and a size equal to the sum of the memory size for the input data and the memory size for the output data from the layer. The overall memory size is determined based on the elementary memory sizes associated with the layers. The global memory area contains all the elementary memory areas.
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公开(公告)号：US10863018B2
公开(公告)日：2020-12-08
申请号：US16774954
申请日：2020-01-28
发明人： Pierre Demaj , Laurent Folliot
IPC分类号： H04M1/725 , G01D21/02 , H04W4/02 , H04W12/00 , H04W4/029 , H04W52/02 , G06F9/445 , G06F3/01 , G06K9/00 , H04W4/38 , H04W56/00 , H04W4/33 , H04W4/23
摘要： A method of real-time scene detection performed by a wireless communication device includes, performing a first scene detection measurement to determine that the wireless communication device is located in a first scene. The first scene detection measurement is performed at first instant in time. The first scene is a type of environment. The method further includes associating the first scene with a corresponding reference scene of a predetermined set of reference scenes, determining a reference duration associated with the corresponding reference scene, and performing a second scene detection measurement immediately following expiration of the reference duration measured from the first instant in time.
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公开(公告)号：US20200302266A1
公开(公告)日：2020-09-24
申请号：US16810582
申请日：2020-03-05
发明人： Pierre Demaj , Laurent Folliot
IPC分类号： G06N3/04
摘要： In accordance with an embodiment, a method includes reducing a size of at least one initial parameter of each layer of an initial multilayer neural network to obtain for each layer a set of new parameters defining a new neural network, wherein each new parameter of the set of new parameters has its data represented in two portions comprising an integer portion and a fractional portion; implementing the new neural network using a test input data set applied only once to each layer; determining a distribution function or a density function resulting from the set of new parameters for each layer; and based on the determined distribution function or density function, adjusting a size of a memory area allocated to the fractional portion and a size of the memory area allocated to the integer portion of each new parameter associated with each layer.
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公开(公告)号：US20200183834A1
公开(公告)日：2020-06-11
申请号：US16691957
申请日：2019-11-22
发明人： Laurent Folliot , Pierre Demaj
摘要： A method can be used to determine an overall memory size of a global memory area to be allocated in a memory intended to store input data and output data from each layer of a neural network. An elementary memory size of an elementary memory area intended to store the input data and the output data from the layer is determined for each layer. The elementary memory size is in the range between a memory size for the input data or output data from the layer and a size equal to the sum of the memory size for the input data and the memory size for the output data from the layer. The overall memory size is determined based on the elementary memory sizes associated with the layers. The global memory area contains all the elementary memory areas.
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公开(公告)号：US10136393B2
公开(公告)日：2018-11-20
申请号：US15472794
申请日：2017-03-29
摘要： A control method for real-time scene detection by a wireless communication apparatus equipped with at least one environmental measurement sensor is disclosed. A temporal adjustment of the instants of activation of the detection is based on measurement values delivered by the at least one environmental measurement sensor at instants of measurement.
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7.发明申请METHOD FOR ESTIMATING A CYCLOSTATIONARY TRANSMISSION CHANNEL, AND CORRESPONDING RECEIVER 有权估计循环传输通道的方法和相应的接收机公开(公告)号：US20170012666A1
公开(公告)日：2017-01-12
申请号：US15042509
申请日：2016-02-12
发明人： Pierre Demaj , Yoann Bouvet
CPC分类号： H04B3/54 , H04L5/0007 , H04L5/0044 , H04L27/2601 , H04L27/2647
摘要： A method is for processing an analog channel signal from a transmission channel. The analog channel signal conveys frames, the transmission channel being linear and cyclostationary for a duration of a frame. The method may include converting of the analog channel signal into a digital channel signal, and performing channel estimations for the frame based upon the digital channel signal to generate a sequence of N transfer functions of the transmission channel. Each of the sequence of N transfer functions may be respectively associated with N successive time slices. The method may include decoding at least some symbols of the frame using, for each of the symbols, a transfer function associated with a successive time slice including a respective symbol.
摘要翻译： 一种用于处理来自传输信道的模拟信道信号的方法。 模拟信道信号传送帧，传输信道在帧的持续时间内是线性的和循环平稳的。 该方法可以包括将模拟信道信号转换为数字信道信号，以及基于数字信道信号对帧执行信道估计，以产生传输信道的N个传递函数的序列。 N个传送函数的每个序列可以分别与N个连续时间片相关联。 该方法可以包括使用针对每个符号的与包括相应符号的连续时间片相关联的传递函数来对帧的至少一些符号进行解码。
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公开(公告)号：US20240095502A1
公开(公告)日：2024-03-21
申请号：US18470281
申请日：2023-09-19
发明人： Pierre Demaj , Laurent Folliot
IPC分类号： G06N3/0464
CPC分类号： G06N3/0464
摘要： An artificial neural network includes a unit cell. The unit cell includes a first binary two-dimensional convolution layer configured to receive an input tensor and to generate a first tensor. A first batch normalization layer is configured to receive the first tensor and to generate a second tensor. A concatenation layer is configured to generate a third tensor by concatenating the input tensor and the second tensor. A second binary two-dimensional convolution layer is configured to receive the third tensor and to generate a fourth tensor. A second batch normalization layer is configured to generate an output tensor based on the fourth tensor.
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公开(公告)号：US20220164664A1
公开(公告)日：2022-05-26
申请号：US17510273
申请日：2021-10-25
发明人： Pierre Demaj , Laurent Folliot
摘要： According to one aspect, the disclosure proposes a method for updating an artificial neural network including initial weights stored in a memory at least in an integer format, which method includes: a processing unit determining the error gradients at the output of the layers of the neural network, the processing unit retrieving the initial weights from memory, the processing unit updating the initial weights comprising, for each initial weight, a first calculation of a corrected weight, in the integer format of this initial weight, the processing unit replacing the value of the initial weights stored in the memory by the value of the corrected weights.
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公开(公告)号：US20210012208A1
公开(公告)日：2021-01-14
申请号：US16917414
申请日：2020-06-30
发明人： Laurent Folliot , Pierre Demaj , Emanuele Plebani
摘要： A method can be performed prior to implementation of a neural network by a processing unit. The neural network comprising a succession of layers and at least one operator applied between at least one pair of successive layers. A computational tool generates an executable code intended to be executed by the processing unit in order to implement the neural network. The computational tool generates at least one transfer function between the at least one pair of layers taking the form of a set of pre-computed values.
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