Abstract: A method and system decode a sequence of symbols received via a channel to a codeword of an error-correcting code. Log-likelihood ratios are determined from a sequence of symbols received via a channel. A set of constraints is initialized according to the log-likelihood ratios. An adaptive linear programming decoder is applied to the set of constraints and the log- likelihood ratios according to an error-correcting code to produce an estimate of the codeword and an updated set of constraints. If the estimate of the codeword is a non-integer pseudo codeword, further update the set of updated constraints with a set of integer constraints if the estimate of the codeword is the non-integer pseudo codeword, and proceeding with the applying step, and otherwise producing the estimate of the codeword as the final codeword.

Abstract: In a wireless network that includes multiple nodes, each periodic announcement cycle of a communication schedule is partitioned into a set of time slots, including a set of management time slots, a set of beacon time slots, and a set of superframe time slots. Management frames are broadcast during the management slot to specify beacons. Beacons are transmitted during the beacon slots to specify when to transmit the superframes during the superframe time slots.

Abstract: Embodiment of the invention describes a system and a method for positioning an object from a first pose to a second pose. The method displays concurrently a first image and a second image on a display device, wherein the first image and the second image represent respectively the first pose and the second pose of the object. The method updates, in response to a change in a pose of the display device, the second image such that an alignment of the first image and the second image on the display device depends on the change in the pose of the display device, and positions the object from the first pose to the second pose based on the change in the pose of the display device.

Abstract: A system and method recognizes speech securely using a secure multi-party computation protocol. The system includes a client and a server. The client is configured to provide securely speech in a form of an observation sequence of symbols, and the server is configured to provide securely a multiple trained hidden Markov models (HMMs), each trained HMM including a multiple states, a state transition probability distribution and an initial state distribution, and each state including a subset of the observation symbols and an observation symbol probability distribution. The observation symbol probability distributions are modeled by mixtures of Gaussian distributions. Also included are means for determining securely, for each HMM, a likelihood the observation sequence is produced by the states of the HMM, and means for determining a particular symbol with a maximum likelihood of a particular subset of the symbols corresponding to the speech.

Abstract: A computer implemented method tracks 3D positions of an object moving in a scene. A sequence of images is acquired of the scene with a set of cameras such that each time instant a set of images are acquired of the scene, in which each image includes pixels. Each set of images is aggregated into a synthetic aperture image including the pixels, and the pixels in each the set of images are matched corresponding to multiple locations and multiple depths of a target window with an appearance model to determine scores for the multiple locations and multiple depths. A particular location and a particular depth having a maximal score is selected as the 3D position of the moving object.

Abstract: A method and a system for selecting antennas in an orthogonal frequency division multiple access (OFDMA) network. The network includes a base station and mobile stations. The mobile station includes multiple antennas. The base station and the mobile stations communicate with each other using frames. The base station transmits a down-link (DL) subframe of the frame to the mobile station. The DL subframe allocates one or more symbols and one or more subcarriers of an up-link (UL) subframe of the frame for antenna selection signals. The mobile station transmits the UL subframe including the antenna selection signals at the allocated subcarriers and symbols to the base station. Then, the base station selects a subset of the antennas based on the antenna selection signals.

Abstract: A method and system access a channel in a wireless network of nodes. A coordinator transmits periodically a beacon, in which time between two consecutive beacons constitute a beacon interval. The coordinator and other nodes transceive a superframe during the beacon interval, in which the superframe begins with an active interval, which is immediately followed by an inactive interval, and in which the active interval begins with a contention free period, which is immediately followed by a contention access period, which is immediately followed by the inactive interval.

Abstract: A computer implemented method facilitates a user interaction via a speech-based user interface. The method acquires spoken input from a user in a form of a phrase of one or more words. It further determines, using a plurality of different domains, whether the phrase is a query or a command. If the phrase is the query the method retrieves and presents relevant items from a plurality of databases. If the phrase is a command, the method performs an operation.

Abstract: A method and system acquire and display light fields. A continuous light field is reconstructed from input samples of an input light field of a 3D scene acquired by cameras according to an acquisition parameterization. The continuous light is reparameterized according to a display parameterization and then prefiltering and sampled to produce output samples having the display parameterization. The output samples are displayed as an output light field using a 3D display device. The reconstruction can be performed by interpolating the input samples having the different views.

Abstract: A method for selecting antennas in a multiple-input, multiple-output wireless communications network that includes multiple stations is presented. Each station includes a set of transmit RF chains and a set of receive RF chains, and each RF chain is connectable to a set of antennas. A first station transmits a training frame for each possible subset of the set of antennas, and the set of transmit RF chains are connected to the subset of antennas according to a connection mapping rule while transmitting each training frame. A subchannel matrix is estimated in a second station for each frame. The subchannel matrices are combined to obtain a complete channel matrix. A particular subset of the antennas is selected according to the complete channel matrix. The set of transmit RF chains is connected to the selected particular subset of antennas to transmit data from the first station to the second station.

Abstract: A method analyzes a radio signal received via a wireless channel. The radio signal includes multiple frames representing a transmitted symbol. Energy of each frame is sampled during multiple of non-overlapping time windows. The sampled energies are stored in an energy matrix indexed by the number of frames and the number of time windows in each frame to analyze the radio signal.

Abstract: A method and system processes reference signals (115) for an uplink channel (103) between a transmitter, such as user equipment, and a receiver such as a base station, in a wireless communication network. A sequence of symbols to be transmitted is converted to a sequence of sub frames. The sequence of sub frames is grouped into groups of sub frames. Each sub frames includes at least two time-adjacent sub frames, and reference signals are inserted in a subset of the sub frames.

Abstract: A method allocates radio channel resource in an orthogonal frequency-division multiple access network including a set of base stations (BS) and a set of mobile stations (MS). For each BS, a diversity set is maintained for the sets of MS. Each BS determines possible interference at the MS based on the diversity set. A graph is constructed, in which nodes represent the sets of MS, and each edge between a pair of nodes represents channel interference between the MS represented by the pair of nodes. A weight is assigned to each edge, which reflects interference and signal strength on the subchannel between the two MSs connected by the edge. Channel resources are allocated to the MS based on the graph.

Abstract: A method allocates radio channel resources in an orthogonal frequency-division multiple access network including a set of base stations (BS) and a set of mobile stations (MS). For each BS, a diversity set is maintained for the sets of MS. Each BS determines possible interference at the MS based on the diversity set. A graph is constructed, in which nodes represent the sets of MS, mid each edge between a pair of nodes represents channel interference between the MS represented by the pair of nodes. A weight is assigned to each edge, which reflects interference between the two MSs connected by the edge. The interference graph is partitioned into non-overlapping clusters of nodes based on a structure of the interference graph, the potential interference, so that a sum of the weights of the edges between each cluster is maximized. Based upon the graph partitioning, the channel resources are allocated to the mobile stations in order to maximize the system capacity.

Abstract: A method randomly accesses multiview videos. Multiview videos are acquired of a scene with corresponding cameras arranged at poses, such that there is view overlap between any pair of cameras. V-frames are generated from the multiview videos. The V-frames are encoded using only spatial prediction. Then, the V-frames are inserted periodically in an encoded bit stream to provide random temporal access to the multiview videos. Additional view dependency information enables the decoding of a reduced number of frames prior to accessing randomly a target frame for a specified view and time, and decoding the target frame.

Abstract: A method constructs a classifier from training data and detects moving objects in test data using the trained classifier. High-level features are generated from low-level features extracted from training data. The high level features are positive definite matrices on an analytical manifold. A subset of the high-level features is selected, and an intrinsic mean matrix is determined. Each high-level feature is mapped to a feature vector on a tangent space of the analytical manifold using the intrinsic mean matrix. An untrained classifier is trained with the feature vectors to obtain a trained classifier. Test high-level features are similarly generated from test low-level features. The test high-level features are classified using the trained classifier to detect moving objects in the test data.

Abstract: A method for communicating in a network including a coordinator node and a set of leaf nodes transmits periodically, from the coordinator node to the set of leaf nodes, a beacon defining a superframe, wherein the supper frame includes an active period and an inactive period, and wherein the active period includes a first contention access period (CAP-1), a first contention free period (CFP-1), a first group acknowledgement (GACK-1), a second CFP-2, a second GACK-2, and a second CAP-2, and wherein each CFP includes a guaranteed time slot (GTS) assigned to each leaf node. Then, each leaf node transmits to the coordinator node only during the GTS assigned to the leaf node during each CFP.

Abstract: A method compresses synthetic aperture radar (SAR) data by sampling the SAR data into blocks and transforming each block to a corresponding block of transform coefficients. Each block of transform coefficient is quantized according to a quantization parameter to obtain a corresponding block of quantized transform coefficients, which are demultiplexed into sets of blocks of quantized transform coefficients. The quantized transform coefficients in the blocks in each set are arithmetically encoding in parallel according to a probability model to produce an intermediate bitstream for each set of blocks. The encoding of the quantized transform coefficients of one block is independent of the quantized transform coefficients of a successive block. The intermediate of bitstreams are then multiplexed to a compressed bitstream, which can be transmitted, or stored, for subsequent decoding to construct an SAR image.

Abstract: A method represents a correlated set of images. The correlation can be spatial or temporal. A lossy operation is applied to each image in the correlated set to generate a coarse image. The coarse image is encoded losslessly to yield an encoded coarse image. Each image is also represented by syndrome bits. The combination of the encoded coarse images and the syndrome bits represent the correlated set of images.

Abstract: A method tracks a moving object by registering a current image in a sequence of images with a previous image. The sequence of images is acquired of a scene by a moving camera. The registering produces a registration result. The moving object is tracked in the registered image to produce a tracking result. The registered current image is registered with the previous image using tracking result for all the images in the sequence.