Abstract:
This disclosure relates to techniques for processing feedback associated with data previously transmitted by a communication device. One example communication system comprises one or more processors (32), a channel identifier (44), a transmitter (42), and a data receiver/feedback unit (46). The channel identifier (44) is operable to identify at least one channel currently available in a digital broadcast spectrum. The transmitter (42) is operable to transmit data via the at least one identified channel of the digital broadcast spectrum, wherein the transmitted data complies with a digital broadcast format. The data receiver/feedback unit (46) is operable to receive a representation of the data and compare at least a portion of the received representation of the data to at least a portion of the transmitted data. The one or more processors (32) are configured to determine whether to adjust a broadcast transmission parameter or a data transformation parameter for use in subsequent data communication based upon the comparison.
Abstract:
A normalization process is implemented at a difference of scale space to completely or substantially reduce the effect that illumination changes has on feature/keypoint detection in an image. An image may be processed by progressively blurring the image using a smoothening function to generate a smoothened scale space for the image. A difference of scale space may be generated by taking the difference between two different smoothened versions of the image. A normalized difference of scale space image may be generated by dividing the difference of scale space image by a third smoothened version of the image, where the third smoothened version of the image that is as smooth or smoother than the smoothest of the two different smoothened versions of the image. The normalized difference of scale space image may then be used to detect one or more features/keypoints for the image.
Abstract:
A method for feature matching in image recognition is provided. First, image scaling may be based on a feature distribution across scale spaces for an image to estimate image size/resolution, where peak(s) in the keypoint distribution at different scales is used to track a dominant image scale and roughly track object sizes. Second, instead of using all detected features in an image for feature matching, keypoints may be pruned based on cluster density and/or the scale level in which the keypoints are detected. Keypoints falling within high-density clusters may be preferred over features falling within lower density clusters for purposes of feature matching. Third, inlier-to-outlier keypoint ratios are increased by spatially constraining keypoints into clusters in order to reduce or avoid geometric consistency checking for the image.
Abstract:
Operating at least one low duty cycle (LDC) controller to maintain synchronization between the LDC controller and a plurality of LDC terminals operating over a communication network using only overhead channels of the network and conforming to the protocol and timing of said network, wherein synchronization between the LDC controller and the plurality of LDC terminals is maintained separately from the protocol and timing of the communication network, and enables the LDC controller to schedule power down and wake up of the plurality of LDC terminals for durations longer than allowable under the protocol and timing of the communication network.
Abstract:
Various operations may be performed based on distance-related functions associated with two or more devices. For example, one or more distance-based functions may be used to control whether a device is allowed to request another device to perform one or more functions. Similarly, one or more distance-based functions may be used to control whether a device may perform one or more functions requested by another device. A distance-related function may take various form including, for example, a distance between devices, two or more distances between devices, a rate of change in a relative distance between devices, relative acceleration between devices, or some combination of two or more of the these distance-related functions.
Abstract:
In some embodiments, methods and systems are provided for assisting a user in determining a real-world distance. Hardware-based sensors (e.g., present in a mobile electronic device) may allow for a fast low-power determination of distances. In one embodiment, one or more telemetry-related sensors may be incorporated into a device. For example, data detected by a frequently-calibrated integrated accelerometer may be used to determine a tilt of the device. A device height may be estimated based on empirical data or based on a time difference between a signal (e.g., a sonar signal) emitted towards the ground and a corresponding detected signal. A triangulation technique may use the estimated tilt and height to estimate other real-world distances (e.g., from the device to an endpoint or between endpoints).
Abstract:
A plurality of MEMS devices are formed on a substrate, a sacrificial layer is formed to cover each of the MEMS devices and a protective cap layer is formed on the sacrificial layer. A release hole is formed through the protective cap layer to the underlying sacrificial layer, and a releasing agent is introduced through the release hole to re¬ move the sacrificial layer under the protective cap layer and expose a MEMS device. The release hole is solder sealed, to form a hermet¬ ic seal of the MEMS device. The method for hermetically sealing the release hole comprises forming a wetting surface on a region adja¬ cent the opening and immersing the wetting surface into a viscous solder to draw a portion of the solder to cover and hermetically seal the opening.
Abstract:
In general, techniques are described for performing enhanced sigma-delta modulation. For example, an apparatus comprising a predictive filter unit, an amplifier, an oversampling unit and a sigma-delta modulation unit may implement the techniques. The predictive filter unit performs predictive filtering on an input signal to generate a filtered signal and computes an estimate of a predictive gain as a function of an energy of the input signal and an energy of the filtered signal. The amplifier receives the filtered signal and amplifies the filtered signal based on the predictive gain to generate an amplified signal. The oversampling unit receives the amplifies signal and performs oversampling in accordance with an oversampling rate to generate an oversampled signal. The sigma-delta modulation unit receives the oversampled signal and performs sigma-delta modulation to generate a modulated signal.