38results about How to "Limited complexity" patented technology

The present invention concerns a control device (1) provided for smart card readers (SCR), a smart card reading activation device (2) and associated products including a set-top box and a daisy chain.The control device comprises means for communicating (11) with at least two smart card reading devices (SCR3, SCR4, SCR5), means for processing (12) information received from those reading devices and means for activating (13) at least one of those reading devices for a current communication. The activating means are intended to send selection data (SD) towards all those reading devices, those selection data enabling each of the reading devices to determine if it is selected or not for the current communication.

A system for connecting a first tube (1) and a second tube, the system comprising a clamping collar (10) suitable for being tightened around the abutted ends of the two tubes, and a washer (28) secured to the clamping collar by securing means. The washer (28) presents a blocking element (44) configured to co-operate with a corresponding positioning member (48) of the first tube (1) so as to block the washer (28) against turning relative to the first tube (1).

A method for forming a plurality of parity check matrices for a plurality of data rates for use in a Low-Density Parity-Check (LDPC) decoder, comprises establishing a first companion exponent matrix corresponding to a first parity check matrix for a first data rate, and partitioning the first parity check matrix and the first companion exponent matrix into sub-matrices such that the first parity check matrix is defined using a cyclical shift of an identity matrix.

A method and apparatus are provided for coding a sequence of images. The method includes a step of coding at least one block of a current image of the sequence, implementing a prediction associating the block with at least one corresponding block in a reference image. The prediction includes the following steps, for at least one given block of the current image or of the reference image: determination of a plurality of control vectors for the block; at least one splitting of the block into sub-blocks; determination of a plurality of control vectors for the sub-blocks; and determination of a prediction value for at least one point of the current image. Moreover, the method includes a step of inserting, into a signal representative of the sequence, information regarding reconstruction of the control vectors for the given block.

The present disclosure provides a method for generating a video of a body moving in synchronization with music by applying a first artificial neural network (ANN) to a sequence of samples of an audio waveform of the music to generate a first latent vector describing the waveform and a sequence of coordinates of points of body parts of the body, by applying a first stage of a second ANN to the sequence of coordinates to generate a second latent vector describing movement of the body, by applying a second stage of the second ANN to static images of a person in a plurality of different poses to generate a third latent vector describing an appearance of the person, and by applying a third stage of the second ANN to the first latent vector, the second latent vector, and the third latent vector to generate the video.

An FBMC equalization and demodulation unit and corresponding method to process an FBMC signal includes FBMC symbols, each FBMC symbol comprising data mapped over M subcarriers, oversampled by a factor K, filtered by a prototype filter and transposed in the time-domain, comprising: a frequency domain transposition unit, configured to transpose a block of P*KM samples comprising at least one FBMC symbol into frequency domain samples, where P is an integer greater than one, an equalizer unit configured to multiply the frequency domain samples by one or more coefficients computed from a propagation channel estimate, at least one circular convolution unit, configured to perform P circular convolutions between subsets of the equalized samples and a frequency domain response of a frequency shifted version of the prototype filter, and adders, to sum corresponding outputs of each of the P circular convolutions.

The tracking method comprises, for at least a first image of the text having at least a first line of characters:applying a prediction of a movement to which the text is subjected between the first image and a second image of the video stream, the movement prediction being applied to at least one second line of characters of the second image;determining at least one alignment hypothesis for aligning the first line with the second line after applying the movement prediction;estimating for each alignment hypothesis, a geometrical transformation between the first line and the second line resulting in that alignment; andevaluating a character match metric for each alignment hypothesis, the metric being evaluated from signatures calculated on the characters of at least one line of the first image and signatures calculated on the characters of at least one line of the second image put into correspondence with the characters of said at least one line of the first image after applying the geometrical transformation associated with the alignment hypothesis.

A method, apparatus, and computer-readable medium are presented that enables dynamic switching of transmission modes by a UE. A UE may be configured with a transmission mode. However, the configured transmission mode might not meet the needs of changing network conditions. Aspects presented herein enable a base station to assist a UE in switching between transmission modes. The base station may signal a combination of transmission modes to the UE, e.g., including at least a first transmission mode and a second transmission mode. The UE may then monitor for one or more DCI formats in order to determine whether to switch among transmission modes from the indicated combination of transmission modes