Abstract: 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.

Abstract: A method can be used to process an initial set of data through a convolutional neural network that includes a convolution layer followed by a pooling layer. The initial set is stored in an initial memory along first and second orthogonal directions. The method includes performing a first filtering of the initial set of data by the convolution layer using a first sliding window along the first direction. Each slide of the first window produces a first set of data. The method also includes performing a second filtering of the first sets of data by the pooling layer using a second sliding window along the second direction.

Abstract: A method can be used with a neural network being implemented by a system having a computation unit coupled to a collection of memories. The method includes analyzing a set of initial parameters defining an initial multilayer neural network. The analyzing includes attempting to reduce an initial memory size of an initial parameter so as to obtain a set of modified parameters defining a modified neural network with respect to the initial network.

Abstract: 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.

Abstract: A method can be used for managing a real-time detection related to a scene. A succession of steps of scene detection is spaced apart by time intervals. A time interval separating a current step of scene detection from a previous step of scene detection is adjusted according to an adjustment criterion linked to a previous scene actually detected. The succession of steps and the adjustment are performed by a wireless communication apparatus.

Abstract: An embodiment provides a method for controlling scene detection by a device from among a set of possible reference scenes. The method includes detection of scenes from among the set of possible reference scenes at successive instants of detection using at least one classification algorithm. Each new current detected scene is assigned an initial probability of confidence. The initial probability of confidence is updated depending on a first probability of transition from a previously detected scene to the new current detected scene. A filtering processing operation is performed on these current detected scenes on the basis of at least the updated probability of confidence associated with each new current detected scene. The output of the filtering processing operation successively delivers filtered detected scenes.

Abstract: A method is for processing a channel analog signal coming from a transmission channel. The method may include converting the channel analog signal into a channel digital signal, and detecting a state of the transmission channel based on the channel digital signal to detect whether the transmission channel is, over an interval of time, one or more of linear and time invariant and linear and cyclostationary.

Abstract: 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.

Abstract: A method is provided for monitoring scene detection by an apparatus detecting scenes from among a set of possible reference scenes. It includes an assignment of an identifier to each reference scene, detection of scenes from among the set of possible reference scenes at successive instants of detection with the aid of at least one classification algorithm, and a sliding time filtering processing of these detected current scenes over a filtering window of size M, based on the identifier of each new detected current scene taken into account in the window and a confidence probability associated with this new detected current scene, the output of the filtering processing successively delivering filtered detected scenes.

Abstract: A method for real-time detection of at least one scene by an apparatus, from among a set of possible reference scenes, includes acquiring current values of attributes from measurement values supplied by sensors. The method further includes traversing a path through a decision tree. The nodes of the decision tree are respectively associated with the attributes. The traversal considers at each node along the path, the current value of the corresponding attribute, so as to obtain at the output of the path, a scene from among the set of reference scenes. The obtained scene identifying which reference scene is the detected scene. The method further includes developing a confidence index (SC) associated with the identification of the detected scene.

Abstract: A method can be used for managing a real-time detection related to a scene. A succession of steps of scene detection is spaced apart by time intervals. A time interval separating a current step of scene detection from a previous step of scene detection is adjusted according to an adjustment criterion linked to a previous scene actually detected. The succession of steps and the adjustment are performed by a wireless communication apparatus.

Abstract: A method is for processing an analog signal coming from a transmission channel. The analog signal may include a useful signal modulated on a sub-set of carriers. The method may include analog-to-digital converting of the analog signal into a digital signal, and synchronization processing the digital signal. The synchronizing may include determining, in a time domain, a limited number of coefficients of a predictive filter from an autoregressive model of the digital signal, and filtering the digital signal in the time domain by a digital finite impulse response filter with coefficients based upon the limited number of coefficients to provide a filtered digital signal. The method may include detecting of an indication allowing a location in the frame structure to be identified, using the filtered digital signal and a reference signal.

Abstract: A method is for processing a channel analog signal coming from a transmission channel. The method may include converting the channel analog signal into a channel digital signal, and detecting a state of the transmission channel based on the channel digital signal to detect whether the transmission channel is, over an interval of time, one or more of linear and time invariant and linear and cyclostationary.

Abstract: 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.

Abstract: A method is for processing a channel analog signal coming from a transmission channel. The method may include converting the channel analog signal into a channel digital signal, and detecting a state of the transmission channel based on the channel digital signal to detect whether the transmission channel is, over an interval of time, one or more of linear and time invariant and linear and cyclostationary.

Abstract: A method is for processing an analog channel signal from a transmission channel. The method may include converting of the analog channel signal to a digital channel signal, and performing a channel estimation digital processing of the digital channel signal. The channel estimation digital processing may include for at least one frame, generating transfer functions of the transmission channel, the transfer functions respectively associated with reference symbols of the frame, and averaging processing of the transfer functions to generate an average transfer function. The method may include decoding of symbols of the frame following the reference symbols using the average transfer function.

Abstract: A method is for processing a channel analog signal coming from a transmission channel. The method may include converting the channel analog signal into a channel digital signal, and detecting a state of the transmission channel based on the channel digital signal to detect whether the transmission channel is, over an interval of time, one or more of linear and time invariant and linear and cyclostationary.

Abstract: 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.

Abstract: A method is for processing an analog signal coming from a transmission channel. The analog signal may include a useful signal modulated on a sub-set of carriers. The method may include analog-to-digital converting of the analog signal into a digital signal, and synchronization processing the digital signal. The synchronizing may include determining, in a time domain, a limited number of coefficients of a predictive filter from an autoregressive model of the digital signal, and filtering the digital signal in the time domain by a digital finite impulse response filter with coefficients based upon the limited number of coefficients to provide a filtered digital signal. The method may include detecting of an indication allowing a location in the frame structure to be identified, using the filtered digital signal and a reference signal.

Abstract: A method is for processing an analog signal coming from a transmission channel. The analog signal may include a useful signal modulated on a sub-set of carriers. The method may include analog-to-digital converting of the analog signal into a digital signal, and synchronization processing the digital signal. The synchronizing may include determining, in a time domain, a limited number of coefficients of a predictive filter from an autoregressive model of the digital signal, and filtering the digital signal in the time domain by a digital finite impulse response filter with coefficients based upon the limited number of coefficients to provide a filtered digital signal. The method may include detecting of an indication allowing a location in the frame structure to be identified, using the filtered digital signal and a reference signal.