Abstract: Computer-implemented methods and systems for automatically classifying businesses from imagery can include providing one or more images of a location entity as input to a statistical model that can be applied to each image. A plurality of classification labels for the location entity in the one or more images can be generated and provided as an output of the statistical model. The plurality of classification labels can be generated by selecting from an ontology that identifies predetermined relationships between location entities and categories associated with corresponding classification labels at multiple levels of granularity. Confidence scores for the plurality of classification labels can be generated to indicate a likelihood level that each generated classification label is accurate for its corresponding location entity. Associations based on the classification labels generated for each image can be stored in a database and used to help retrieve relevant business information requested by a user.

Abstract: A system includes a crest-factor reduction circuit, a signal analyzer, and a pre-distortion circuit. The crest-factor reduction circuit reduces a crest factor of a baseband signal and generates a feedforward signal. The signal analyzer generates parameters based on the feedforward signal and an output signal from a power amplifier. The pre-distortion circuit generates a pre-distorted baseband signal based on the parameters for input to the power amplifier.

Abstract: Aspects of the present disclosure relate to a method includes training a deep neural network using training images and data identifying one or more business storefront locations in the training images. The deep neural network outputs tight bounding boxes on each image. At the deep neural network, a first image may be received. The first image may be evaluated using the deep neural network. Bounding boxes may then be generated identifying business storefront locations in the first image.

Abstract: Embodiments included herein are directed towards a system and method for addressing discontinuous transmission (DTX) in a network device. Embodiments may include receiving, at a computing device, an audio signal and generating at least one silence descriptor (SID) frame associated with the audio signal. Embodiments may also include generating at least one no data frame associated with the audio signal. Embodiments may also include initiating a speech decoder, voice enhancement, and speech encoder operation for the at least one SID frame during a DTX operation and bypassing the speech decoder, voice enhancement, and speech encoder functions for the at least one no data frame.

Abstract: Aspects of the present disclosure relate to a method includes training a deep neural network using training images and data identifying one or more business storefront locations in the training images. The deep neural network outputs tight bounding boxes on each image. At the deep neural network, a first image may be received. The first image may be evaluated using the deep neural network. Bounding boxes may then be generated identifying business storefront locations in the first image.

Abstract: A transceiver coupled to an antenna includes: (a) a multi-port filter having a bidirectional port coupled to the antenna, at least one input port and at least one output port; (b) a transmit datapath receiving a transmission signal and providing the transmission signal for transmission by the antenna through the multi-port filter, the transmit datapath being coupled to the input port of the multi-port filter; (c) a receive datapath receiving a reception signal from the antenna, the receive datapath being coupled to the output port of the multi-port filter; (d) a band-pass filter coupled to the antenna for receiving a sampled signal that includes intermodulation components between two or more of an external signal, the transmission signal and the reception signal; and (e) a monitoring and cancellation circuit receiving the transmission signal, the reception signal and the sampled signal to cancel the intermodulation components.

Abstract: A system includes an interleaved analog-to-digital converter (ADC) comprising a plurality of sub-ADCs, where each of the plurality of sub-ADCs has an adjustable timing. The system includes a data analyzer that analyzes an output of the interleaved ADC, that estimates timing mismatches of the plurality of sub-ADCs, and that corrects the timing mismatches by adjusting the adjustable timing of one or more of the plurality of sub-ADCs based on the estimated timing mismatches.

Abstract: The present disclosure is directed towards a method for speech intelligibility. The method may include receiving, at one or more computing devices, a first speech input from a first user and performing voice activity detection upon the first speech input. The method may also include analyzing a spectral tilt associated with the first speech input, wherein analyzing includes computing an impulse response of a linear predictive coding (“LPC”) synthesis filter in a linear pulse code modulation (“PCM”) domain and wherein the one or more computing devices includes an adaptive high pass filter configured to recalculate one or more linear prediction coefficients.

Abstract: A complex video event classification, search and retrieval system can generate a semantic representation of a video or of segments within the video, based on one or more complex events that are depicted in the video, without the need for manual tagging. The system can use the semantic representations to, among other things, provide enhanced video search and retrieval capabilities.

Abstract: Methods and apparatus for blind detection and correction of interleaving errors using all-digital processing of data output by multiple sub-ADCs of a time-interleaved ADC are disclosed. The methods and apparatus detect and correct frequency-dependent timing and gain mismatches of the sub-ADCs of the time-interleaved ADC using a novel multiple-input multiple-output (MIMO) filter structure. Additionally, a novel adaptive sampling frequency hopping scheme is proposed to achieve uninterrupted data conversion by the time-interleaved ADC during transient time of ADC clock frequency switching.

Abstract: A filter enhancer provides greater performance in a passive filter. The passive filter has an input terminal for receiving a signal in a first frequency band and an output terminal for providing a signal in a second frequency band. The filter enhancer includes: (a) a first canceller circuit coupled between input terminal and output terminal, the first canceller circuit including a first finite impulse response (FIR) filter for attenuating signals in the first frequency band; and (b) a control circuit coupled to output terminal and first canceller circuit for providing adaptive coefficients for configuring the first FIR filter. The first FIR filter may be implemented by either a digital FIR filter or an analog FIR filter. The filter enhancer may further include a second canceller circuit coupled between input terminal and output terminal, the second canceller circuit including a second FIR filter for attenuating signals in the second frequency band.

Abstract: A system includes a crest-factor reduction circuit, a signal analyzer, and a pre-distortion circuit. The crest-factor reduction circuit reduces a crest factor of a baseband signal and generates a feedforward signal. The signal analyzer generates parameters based on the feedforward signal and an output signal from a power amplifier. The pre-distortion circuit generates a pre-distorted baseband signal based on the parameters for input to the power amplifier.

Abstract: Embodiments included herein are directed towards a system and method for addressing discontinuous transmission (DTX) in a network device. Embodiments may include receiving, at a computing device, an audio signal and generating at least one silence descriptor (SID) frame associated with the audio signal. Embodiments may also include generating at least one no data frame associated with the audio signal. Embodiments may also include initiating a speech decoder, voice enhancement, and speech encoder operation for the at least one SID frame during a DTX operation and bypassing the speech decoder, voice enhancement, and speech encoder functions for the at least one no data frame.

Abstract: A food recognition assistant system includes technologies to recognize foods and combinations of foods depicted in a digital picture of food. Some embodiments include technologies to estimate portion size and calories, and to estimate nutritional value of the foods. In some embodiments, data identifying recognized foods and related information are generated in an automated fashion without relying on human assistance to identify the foods. In some embodiments, the system includes technologies for achieving automatic food detection and recognition in a real-life setting with a cluttered background, without the images being taken in a controlled lab setting, and without requiring additional user input (such as user-defined bounding boxes). Some embodiments of the system include technologies for personalizing the food classification based on user-specific habits, location and/or other criteria.

Abstract: A food recognition assistant system includes technologies to recognize foods and combinations of foods depicted in a digital picture of food. Some embodiments include technologies to estimate portion size and calories, and to estimate nutritional value of the foods. In some embodiments, data identifying recognized foods and related information are generated in an automated fashion without relying on human assistance to identify the foods. In some embodiments, the system includes technologies for achieving automatic food detection and recognition in a real-life setting with a cluttered background, without the images being taken in a controlled lab setting, and without requiring additional user input (such as user-defined bounding boxes). Some embodiments of the system include technologies for personalizing the food classification based on user-specific habits, location and/or other criteria.

Abstract: The present disclosure is directed towards a system and method for reducing tandeming effects in a communications system. The method may include receiving, at a speech decoder, an input bitstream associated with an incoming initial speech signal from a speech encoder. The method may further include determining whether or not coding is required and if coding is required, modifying an excitation signal associated with the bitstream. The method may also include providing the modified excitation signal to an adaptive encoder.

Abstract: A complex video event classification, search and retrieval system can generate a semantic representation of a video or of segments within the video, based on one or more complex events that are depicted in the video, without the need for manual tagging. The system can use the semantic representations to, among other things, provide enhanced video search and retrieval capabilities.

Abstract: The present disclosure is directed towards a method for speech intelligibility. The method may include receiving, at one or more computing devices, a first speech input from a first user and performing voice activity detection upon the first speech input. The method may also include analyzing a spectral tilt associated with the first speech input, wherein analyzing includes computing an impulse response of a linear predictive coding (“LPC”) synthesis filter in a linear pulse code modulation (“PCM”) domain and wherein the one or more computing devices includes an adaptive high pass filter configured to recalculate one or more linear prediction coefficients.

Abstract: A pre-distortion circuit for a power amplifier may include: (a) a digital interface for receiving a complex-value digital baseband signal; (b) a mixed-signal pre-distortion circuit adaptively controlled by a set of parameter values, receiving the complex-value digital baseband signal to provide a pre-distorted signal for input to the power amplifier, the mixed-signal pre-distortion circuit may include: (i) digital pre-distortion circuit that transforms the complex-value digital baseband signal to a pre-distorted complex-value digital baseband signal by applying to the complex-value digital baseband signal a memory-less non-linear gain and a polynomial function based on the complex-value digital baseband signal one or more delayed copies of the complex-value digital baseband signal; and (ii) up-converter that converts the pre-distorted complex-value digital baseband signal to the pre-distorted signal; and (c) a signal analyzer receiving an output signal from the power amplifier to provide the parameter values

Abstract: A magnetic disk drive device for rotary driving a magnetic disk may be provided. The magnetic disk drive device may include a drive motor for rotary driving the magnetic disk. The drive motor may include a motor hub which has motor hub support portion with a screw-type motor hub engaging portion, and a motor hub support surface for supporting the magnetic disk. The magnetic disk drive device may also include a clamp disk including a clamp disk support portion with a screw-type clamp disk engaging portion complementary to the motor hub engaging portion, and a clamp disk support surface for supporting the magnetic disk.