Abstract: Apparatus for encoding a plurality of received radio frequency (RF) analog signals. The apparatus includes a plurality of pseudo-noise (PN) encoders for performing analog signal spreading and down-conversion. Each PN encoder is configured to encode a respective received RF analog signal using a respective one of a plurality of mutually orthogonal PN complex codes and to output a respective PN-encoded analog signal. The apparatus also includes a PN complex code source configured to provide the mutually orthogonal PN complex codes to the plurality of PN encoders. The PN complex code source includes a code generator for generating multiple mutually orthogonal PN codes, and a complex modulator for modulating the mutually orthogonal PN codes.

Abstract: Aspects of the present invention are related to methods and systems for vision-based computation of ego-motion.

Abstract: Automated capture of image data for points of interest may be implemented for points of interest in an environment external to a vehicle. Sensors implemented as part of a vehicle may collect sensor data for an environment. Processing of the sensor data may be performed to detect points of interest in the environment. In response to detecting a point of interest, image data may be captured by one or more of the sensors implemented at the vehicle. Different types of image data may be captured, such as panoramic images and three-dimensional reconstructions of a scene. Metadata may be generated for captured image data which may describe the point of interest that is captured by the image data. The image data and the metadata may be stored locally at the vehicle or to a remote data store. The image data may also be shared with other computing devices.

Abstract: Aspects of the present invention are related to systems and methods for determining local-analysis-window size and weighting parameters in a gradient-based motion estimation system.

Abstract: System and apparatus embodiments are provided for high capacity wireless communication. In an embodiment, a system for high capacity wireless communication includes a plurality of small radio unit modules (SRUMs) and a single central module (CM) configured to connect to the SRUMS over a high speed transport layer (TL), wherein the SRUMs each comprise a SRUM radio frequency (RF) element and an antenna, wherein the CM comprises a digital signal processor (DSP), an analog-to-digital (A/D) converter, a plurality of digital-to-analog (D/A) converters, and a plurality of CM RF elements, wherein each of the plurality of SRUMs is uniquely associated with a CM RF element, and a D/A converter thereby forming a radio unit (RU) that is configured to operate independently of other RUs.

Abstract: Embodiments of the present invention provide a method and an apparatus for demodulating a physical random access channel signal. The method includes: acquiring a down-sampling sequence of a PRACH demodulation signal, and acquiring a power sequence of the down-sampling sequence; determining a position of a sounding reference signal sampling point in the down-sampling sequence according to the power sequence; and eliminating the sounding reference signal sampling point in the down-sampling sequence according to the position of the sounding reference signal sampling point, so as to perform PRACH coherent detection on a down-sampling sequence obtained after the sounding reference signal sampling point is eliminated. In the method and the apparatus for demodulating a physical random access channel signal in the embodiments of the present invention, interference from a sounding reference signal can be restrained and false alarms in PRACH detection can be reduced.

Abstract: Aspects of the present invention are related to methods and systems for autonomous navigation using visual landmark recognition.

Abstract: Aspects of the present invention are related to methods and systems for autonomous navigation using visual-landmark recognition. One method may include scanning a captured image to detect a machine-readable marker and extracting encoded data therefrom. The data may include an identifying key usable to access a database to retrieve physical attributes associated with the marker. The method may include using the physical attributes to compute a position and an orientation of a mobile agent relative to a landmark object associated with the marker. The method may further include determining a path toward a next route location based on the position of the next route location and the computed position and orientation of the mobile agent and controlling the mobile agent to drive along the path toward the next route location.

Abstract: Aspects of the present invention are related to methods and systems for autonomous navigation using visual-landmark recognition. One method may include scanning a captured image to detect a machine-readable marker and extracting encoded data therefrom. The data may include an identifying key usable to access a database to retrieve physical attributes associated with the marker. The method may include using the physical attributes to compute a position and an orientation of a mobile agent relative to a landmark object associated with the marker. The method may further include determining a path toward a next route location based on the position of the next route location and the computed position and orientation of the mobile agent and controlling the mobile agent to drive along the path toward the next route location.

Abstract: Aspects of the present invention are related to systems and methods for determining local-analysis-window size and weighting parameters in a gradient-based motion estimation system.

Abstract: Aspects of the present invention are related to systems and methods for determining local-analysis-window size and weighting parameters in a gradient-based motion estimation system.

Abstract: Aspects of the present invention are related to methods and systems for vision-based computation of ego-motion.

Abstract: Aspects of the present invention are related to methods and systems for autonomous navigation using visual landmark recognition.

Abstract: System and apparatus embodiments are provided for high capacity wireless communication. In an embodiment, a system for high capacity wireless communication includes a plurality of small radio unit modules (SRUMs) and a single central module (CM) configured to connect to the SRUMS over a high speed transport layer (TL), wherein the SRUMs each comprise a SRUM radio frequency (RF) element and an antenna, wherein the CM comprises a digital signal processor (DSP), an analog-to-digital (A/D) converter, a plurality of digital-to-analog (D/A) converters, and a plurality of CM RF elements, wherein each of the plurality of SRUMs is uniquely associated with a CM RF element, and a D/A converter thereby forming a radio unit (RU) that is configured to operate independently of other RUs.

Abstract: A system for image enhancement includes a computer receiving an input image, and modifies the entire range of frequencies of the image, wherein the modifying is greater for the lower frequency aspects of the input image relative to the higher frequency aspects of the input image based upon a brightening process that is based upon a brightening selection, where the brightening selection is based upon a backlight level of a display to display the input image. The computer modifies the higher frequency aspects of the input image based upon an enhancement process that is based upon the brightening selection which is based upon the backlight level of the display. The computer combines the modifies image based upon the brightening process and the modified image based upon the enhancement process.

Abstract: Aspects of the present invention are related to methods and systems for autonomous navigation using visual landmark recognition.

Abstract: Embodiments of the present invention provide a method and an apparatus for demodulating a physical random access channel signal. The method includes: acquiring a down-sampling sequence of a PRACH demodulation signal, and acquiring a power sequence of the down-sampling sequence; determining a position of a sounding reference signal sampling point in the down-sampling sequence according to the power sequence; and eliminating the sounding reference signal sampling point in the down-sampling sequence according to the position of the sounding reference signal sampling point, so as to perform PRACH coherent detection on a down-sampling sequence obtained after the sounding reference signal sampling point is eliminated. In the method and the apparatus for demodulating a physical random access channel signal in the embodiments of the present invention, interference from a sounding reference signal can be restrained and false alarms in PRACH detection can be reduced.

Abstract: A system for identifying a repair cut location for a defect in a liquid crystal device includes receiving an input image, a defect mask image, and a landmark structure image. The system determines a repair cut location, based upon the input image, the defect mask image, and the landmark structure image, for a liquid crystal device proximate the defect. The determination may be based upon a type of said defect, a cause of said defect, a position of said defect, and a spatial relationship of the defect and a structure of the landmark image.

Abstract: A method for classification of samples comprising providing a trained statistical model based upon a set of initial samples. Receiving a set of first samples and training a first statistical model base upon the first set of samples, where the first statistical model is of the same class as the trained statistical model. Receiving a set of second samples and training a second statistical model base upon the second set of samples, where the second statistical model is of the same class as the trained statistical model. The trained statistical model, the first statistical model, and the second statistical model, being independent of each other and collectively used to classify another sample.

Abstract: Aspects of the present invention are related to systems, methods and apparatus for image-based automatic detection of a defective area in a flat panel display and classification of the defect type and the cause of the detected defect.