Abstract: Embodiments of the invention describe a method for antenna selection (AS) in a wireless communication network, the network comprising user equipment (UE), wherein the UE comprises a plurality of subsets of antennas including a first subset of antennas and a second subset of antennas, and wherein the UE is configured to transmit a sounding reference signal (SRS) from a subset of antennas at a time. The method transmits a first SRS from the first subset of antennas, transmits a second SRS from the second subset of antennas, receives, in response to the transmitting the first SRS and the second SRS, information identifying an optimal subset of antennas from the first subset of antennas and the second subset of antennas, and transmits user data from the optimal subset of antennas.

Abstract: Power quality (PQ) events in a waveform in a power distribution network are detected by sampling the waveform. For each sample, a normalized sample is determined by subtracting an undistorted waveform from the sample. An accumulated weighted log-likelihood ratio (LLR) is determined for all normalized samples, as well as a minimum of the accumulated weighted LLR. If the difference between the accumulated weighted LLR an the minimum LLR is greater than a predetermined threshold, then the PQ event is signaled. The network can be a smart grid.

Abstract: A method analyzes a model of a balanced power distribution system by transforming a model of the balanced distribution system with zero impedance branches to an equivalent model of the balanced power distribution system with non-zero impedance branches. Decoupled power mismatch equations with second orders are generated for each bus in the equivalent model. Power mismatches are determined using the bus power flow equations. The power mismatches are compared to a predetermined threshold. Then, for each bus, solving iteratively, if the comparing is true, the power mismatch equations to obtain a bus voltage magnitude correction and a bus phase angle correction until the comparing is false.

Abstract: In stereo images that include occluded pixels and visible pixels, occlusions are handled by first determining, for the occluded pixels, initial disparity values and support for the initial disparity values using an initial support function, an occlusion map and disparities of the visible pixels neighboring the occluded pixels in the stereo images. Then, for the occluded pixels, final disparity values and support for the final disparity values are determined using the initial disparity values, a final support function and a normalization function in an iterative support-and-decision process.

Abstract: A wireless network with a star topology has a first and second central node. The first central node starts up first and initiates the network. The second central node starts up second and synchronizes to the first central node, and wherein one node is in active mode and the other node is in standby mode, and a set of leaf nodes configured to communicate only with the active node.

Abstract: An average environmental condition for a specified target date and time is determined by indexing a database of time series data to retrieve the environment condition for each day and time where an orbital position of the earth with respect to the sun is nearest to the orbital position of the earth on the target date and time. The average environmental condition is then determined from the retrieved environmental conditions.

Abstract: Embodiments of the invention discloses a system and a method for determining a result of applying a function to signals including a first signal and a second signal, wherein the function is a polynomial function of the signals such that a monomial in the function includes the first signal having a power less than or equal to a first maximum power, and wherein the first signal is partitioned into a first subsignal and a second subsignal, comprising a processor for performing steps of the method, comprising the steps of acquiring a second signal and a second subsignal; acquiring a set of encrypted powers of the first subsignal, wherein the set of encrypted powers of the first subsignal includes homomorphically encrypted powers of the first subsignal; and determining an encrypted result of the function based on a second subsignal, the set of encrypted powers of the first subsignal, and the second signal.

Abstract: A location and orientation in an environment is determined by acquiring a set of one or more real omni-directional images of an unknown skyline in the environment from an unknown location and an unknown orientation in the environment by an omni-directional camera. A set of virtual omni-directional images is synthesized from a 3D model of the environment, wherein each virtual omni-directional image is associated with a known skyline, a known location and a known orientation. Each real omni-directional image is compared with the set of virtual omni-directional images to determine a best matching virtual omni-directional image with the associated known location and known orientation that correspond to the unknown location and orientation.

Abstract: A pose for an object in a scene is determined by first rendering sets of virtual images of a model of the object using a virtual camera. Each set of virtual images is for a different known pose the model, and constructing virtual depth edge map from each virtual image, which are stored in a database. A set of real images of the object at an unknown pose are acquired by a real camera, and constructing real depth edge map for each real image. The real depth edge maps are compared with the virtual depth edge maps using a cost function to determine the known pose that best matches the unknown pose, wherein the matching is based on locations and orientations of pixels in the depth edge maps.

Abstract: A method converts an outline character to a stylized stroke character by first identifying regions of the outline character, wherein each region is closed and disjoint. For each region, candidate locations for stroke bodies and terminals of the stylized stroke character are determined. The stroke bodies are then initialized and organized into a hierarchical tree stricture, and modified in an order of the hierarchical tree structure. End positions of the modified stroke bodies are then adjusted to match the outline character, and lastly, the terminals are selected for the adjusted stroke bodies.

Abstract: A method clusters samples using a mean shift procedure. A kernel matrix is determined from the samples in a first dimension. A constraint matrix and a scaling matrix are determined from a constraint set. The kernel matrix is projected to a feature space having a second dimension using the constraint matrix, wherein the second dimension is higher than the first dimension. Then, the samples are clustered according to the kernel matrix.

Abstract: The invention and method provides a concise model for signaling over control channel of cognitive radio. The model is analyzed and simulated for optimum parameters of wireless network. The optimized network parameters facilitate improvement of channel usage for cognitive wireless network leading to bandwidth efficiency.

Abstract: Embodiments of the invention disclose a system and a method for determining a disparity search range for a current stereo image of a scene based on a set of stereo images of the scene, comprising steps of: selecting a subset of stereo images from the set of stereo images, the subset includes the current stereo image and at least one neighboring stereo image, wherein the neighboring stereo image is temporally-neighboring to the current stereo image; determining a disparity histogram for each stereo image in the subset of stereo images to form a set of disparity histograms; determining a weighted disparity histogram as a weighted sum of the disparity histograms in the set of disparity histograms; and determining the disparity search range from the weighted disparity histogram.

Abstract: In an orthogonal frequency division multiplexing (OFDM) network, a set of pseudo random sequences (PRS) are stored at a transmitter and a receiver. Each OFDM symbol is mapped to subcarriers for a set of transmit antennas to produce a mapped symbol. The mapped symbol is encoded using a pseudo-random phase precoder (PRPP) and the PRS to produce a precoded symbol. An inverse fast Fourier transform (IFFT) is applied to the precoded symbol, and the encoded symbol is transmitted to the receiver using the set of transmit antennas.

Abstract: A method edits an input video to produce an output video. Pixels of the input video are partitioned into sets of pixels, wherein the pixels in the sets are adjacent, and for each set of pixels performing the following steps. A trellis having nodes connected by directed links is constructed. Each node corresponds to one of the pixels in the set of pixels, and each node is associated with an action and location of the pixel in the output image. Costs are assigned to the nodes and the links, wherein the costs are on apparent motion in the input video. A least cost path is determined through the trellis. Then, for each node on the path, apply the action associated the node to the corresponding pixel in the input video to edit the corresponding pixel at the location in the output video associated with the node.

Abstract: A method edits editing an input image to produce an output image by first partitioning pixels of the input image into sets of adjacent pixels. Then, for each set, a trellis of nodes connected by directed links is defined. Each node corresponds to one of the pixels in the set of pixels, and an action and location of the pixel in the output image. Costs are assigned to the nodes and the links. A least cost path through the trellis is determined, and pixels corresponding to the nodes on the least cost path are edited according to the action and location to form the output image.

Abstract: A set of data symbols is selected from a set of modulation constellation, and a sample-mean of the set of data symbols is determined. Each data symbol is first shifted by the sample-mean to obtain a shifted data symbol, and then the shifted symbol is multiplied by a first constant to obtain a scaled data symbol. A second constant is added to the scaled data symbol to obtain a mapped data symbol. The sample-mean is multiplied by a third constant to obtain a sample-mean mapped symbol. The set of mapped data symbols and the sample-mean mapped symbol are then transmitted as a resource block.

Abstract: A method selects antennas in a multiple-input, multiple-output (MIMO) wireless local area network (WLAN) that includes a plurality of stations, and each station includes a set of antennas. Plural consecutive packets, received at a station, include plural consecutive sounding packets. Each sounding packet corresponds to a different subset of the set of antennas, and at least one of the plural consecutive packets includes a high throughput (HT) control field including a signal to initiate antenna selection and a number N indicative of a number of sounding packets which follow the at least one packet including the HT control field and which are to be used for antenna selection. A channel matrix is estimated based on a characteristic of the channel as indicated by the received N sounding packets, and a subset of antennas is selected according to the channel matrix. Station and computer program product embodiments include similar features.

Abstract: A network in an environment includes passive sensors with associated sensor identification numbers. A set of active badges with associated badge identification numbers, wherein each badge is associated with an object, and wherein a particular sensor broadcasts a packet in response to detecting a particular object, wherein the packet includes the sensor identification number and a time, and only if the particular object is associated with a particular badge then the badge appends the badge identification number to the packet and broadcasts the appended packet, and the particular sensor receives and rebroadcasts the appended packet for further processing to passively and actively monitor the environment.

Abstract: A method provides space-time adaptive processing (STAP) for target detection using adaptive matched filters (AMF). A generalized likelihood ratio test (GLRT) is determined where spatial and temporal correlation matrices Q and A are assumed. Then, the correlation matrices A and Q are replaced with maximum likelihood (ML) estimates obtained only from training signals subject to a persymmetric constraint.