Abstract: A light-emitting diode (LED) lighting device includes a white light source characterized by a general color rendering index (CRI) value and a first color-specific CRI value, and one or more LED elements of a color light within a wavelength band, wherein a combined light source comprising the white light source and the one or more LED elements is characterized by the general CRI value and a second color-specific CRI value, and the second color-specific CRI value is greater than the first color-specific CRI value.

Abstract: A system and method relating to constructing an encoder and decoder neural network for providing semantic image segmentation includes generating an encoder comprising encoding convolution layers, each of the encoding convolution layers specifying an encoding filter operation using a respective first filter kernel, generating a decoder corresponding to the encoder, the decoder comprising decoding convolution layers, each of the decoding convolution layers being associated with a corresponding encoding convolution layer, and each of the decoding convolution layers specifying a decoding filter operation using a respective second filter kernel derived from the first filter kernel of the corresponding encoder convolution layer, and providing an input image to the encoder and the decoder for semantic image segmentation.

Abstract: A system and method relating to object detection may include receiving an image frame comprising an array of pixels captured by an image sensor associated with the processing device, identifying a near-field image segment and a far-field image segment in the image frame, applying a first neural network trained for near-field image segments to the near-field image segment for detecting the objects presented in the near-field image segment, and applying a second neural network trained for far-field image segments to the far-field image segment for detecting the objects presented in the near-field image segment.

Abstract: An intelligent light system installed on a motor vehicle includes a light source to provide illumination for the motor vehicle, wherein a wavelength of a light beam generated by the light source is adjustable, a plurality of sensors for capturing sensor data of an environment surrounding the motor vehicle, and a processing device to receive the sensor data captured by the plurality of sensors, provide the sensor data to a neural network to determine a first state of the environment, and issue a control signal to adjust the wavelength of the light beam based on the determined first state of the environment.

Abstract: An anti-collision system and method of a vehicle including a first sensor device to capture first sensor data associated with a first vehicle in front of the vehicle, a second sensor device to capture second sensor data associated with a second vehicle behind the vehicle, and a processing device to calculate, based on the first sensor data, a plurality of first parameters characterizing the first vehicle, calculate, based on the second sensor data, a plurality of second parameters characterizing the second vehicle, responsive to detecting a braking event by the first vehicle, determine, based on a rule taking into consideration at least one of the plurality of first parameters and at least one of the plurality of second parameters, a braking force for the vehicle, and generate a braking control signal that applies the braking force to brakes of the vehicle.

Abstract: A system and method to operate an autonomous vehicle on the road. The system and method may include determining a lane area on a road, calculating a first position within the lane area, determining a tolerance region within the lane area, calculating a deviation offset based on the tolerance region, calculating a second position based on the first position and the deviation offset, and causing to operate the autonomous vehicle to travel to the second position.

Abstract: A system and method relating to object detection using multiple sensor devices include receiving a range data comprising a plurality of points, each of plurality of points being associated with an intensity value and a depth value, determining, based on the intensity values and depth values of the plurality of points, abounding box surrounding a cluster of points among the plurality of points, receiving a video image comprising an array of pixels, determining a region in the video image corresponding to the bounding box, and applying a first neural network to the region to determine an object captured by the range data and the video image.

Abstract: A washing machine including a rotatable cylinder comprising a washing chamber to hold washables, one or more sensors, and a processing device, communicatively connected to the one or more sensors to control an operation of the washing machine, to receive sensor data captured by the one or more sensors, determine, using a machine learning model based on the sensor data, a plurality of properties associated with the washables, determine a setting for the washing machine based on the plurality of properties, and cause the washing machine to operate according to the setting.

Abstract: A monolithic dual band antenna is provided. The monolithic dual band antenna includes a first layer comprising a high frequency band antenna. The monolithic dual band antenna further includes a second layer underlying the first layer. The second layer includes a low frequency band antenna. The geometry of the high frequency antenna relative to the low frequency antenna causes resulting electric fields of the high frequency band antenna to be orthogonal to the resulting electric fields of the low frequency band antenna.

Abstract: A monolithic dual band antenna is provided. The monolithic dual band antenna includes a first layer comprising a high frequency band antenna. The monolithic dual band antenna further includes a second layer underlying the first layer. The second layer includes a low frequency band antenna. The geometry of the high frequency antenna relative to the low frequency antenna causes resulting electric fields of the high frequency band antenna to be orthogonal to the resulting electric fields of the low frequency band antenna.

Abstract: A digital signal processor is provided in a wireless communication device, wherein the processor comprises a vector unit, first and second registers coupled to and accessible by the vector unit; and an instruction set configured to perform matrix inversion of a matrix of channel values by coordinate rotation digital computer instructions using the vector unit and the first and second registers.

Abstract: A method of demapping in a receiver including deriving M intermediate soft bit values yj for the I and Q data of the input signal as a function of the spacing in the constellation; and limiting the range of the M values yj. A look-up table index is derived for each of the limited M values yj. A look-up table, having 2N+1 entries for supporting up to N soft bit outputs, is indexed using the derived indices; and K soft bits for each of the M values yj of the I and Q data are outputted.

Abstract: A digital signal processor is provided in a wireless communication device, wherein the processor comprises a vector unit, first and second registers coupled to and accessible by the vector unit; and an instruction set configured to perform matrix inversion of a matrix of channel values by coordinate rotation digital computer instructions using the vector unit and the first and second registers.

Abstract: The present method of initial synchronization of a communication signal includes the steps of symbol boundary search, fractional frequency offset estimation, fractional frequency offset compensation, frame boundary search, integer frequency offset estimation, integer frequency offset compensation, preamble segment ID search and preamble cell ID search. The symbol boundary search includes estimating the boundary of a present data symbol by a correlation index for the present data symbol and the correlation index for the next data symbol. The frame boundary search includes identifying the preamble symbol in the symbols found in the symbol boundary search to determine the frame boundary. The integer frequency offset estimation is derived from the pilot subcarriers of the frame control header of the frame after locating the preamble symbol.

Abstract: The multi-band antenna structure includes a first antenna having a band width about a middle frequency and a second antenna spaced and electrically isolated from the antenna. Ends of the second antenna are shorted to each other and the antenna floats electrically. The first and second antennas are planar and superimposed in parallel planes. At least two layers of dielectric material of a thickness is between the two antennas. A third layer of dielectric material of a third thickness is between the two antennas.

Abstract: A scalar Kalman filter is applied for a Least-Square estimated value Hs at s. The filter has an input for receiving Hs, a filter equation and an out for the corrected estimated value Hsk for the kth variable. The filter equation is Hsk=KgainSn[k] wherein: correction Sn[k]=S+Kn(Hs?S); prediction of the correction S=KaSn[k]; Kalman filter gain Kn=P/(1+P); minimum predication MSE P=Ka2Pn[k]+Kb; minimum MSE Pn[k]=P (1?Kn); and Ka, Kgain and Kb are constants.

Abstract: An amplitude modulation receiver including an antenna for receiving a signal and an input filter connected to the antenna. A variable gain amplifier is connected to the input filter and is responsive to a gain control signal. An A/D converter is connected to the variable gain amplifier and is responsive to a sampling signal and provides a sampled digital signal. A D/A converter receives a demodulated signal and provides an analog output signal. A controller receives and demodulates the sampled digital signal from the A/D converter, generates the gain control signal for the variable gain amplifier, generates the sampling signal for the A/D converter, and provides the demodulated signal to the D/A converter. The demodulation and generation of the gain control signal and the sampling signal are performed in software.

Abstract: The multi-band antenna structure includes a first antenna having a band width about a middle frequency and a second antenna spaced and electrically isolated from the antenna. Ends of the second antenna are shorted to each other and the antenna floats electrically. The first and second antennas are planar and superimposed in parallel planes. At least two layers of dielectric material of a thickness is between the two antennas. A third layer of dielectric material of a third thickness is between the two antennas.

Abstract: An analog TV receiver implementation on DSP allows mobile platforms to view analog TV broadcasting on LCD displays. The analog television receiver includes a demodulator for demodulating a received analog television signal, an analog to digital converter for digitizing the demodulated television signal and a digital signal processor for producing display signals from the digitized television signals. The digital signal processor being programmed to search for a horizontal synchronization signal in the television signal, track the horizontal synchronization signal and search for a vertical synchronization signal in the television signal. Next the processor separates a luminance and a pair of chrominance components of the television signal and demodulates the pair of chrominance components. Red, green and blue values are constructed from the demodulated chrominance components and the luminance components. Display signals are produced from the red, green and blue values.

Abstract: A method of demapping in a receiver including deriving M intermediate soft bit values yj for each of the I and Q data of the input signal as a function of the spacing in the constellation; and limiting the range of the M values yj. A look-up table index is derived for each of the limited M values yj. A look-up table, having 2N+1 entries for supporting up to N soft bit outputs, is indexed using the derived indices; and K soft bits for each of the M values yj of the I and Q data are outputted.