Abstract: Systems and methods are disclosed for transmitting signals between a transmitter and a receiver by differentially estimating channel coefficients for each of the antenna elements relative to a reference antenna element; determining beam weights to remove oscillator induced phase or offset; and applying a correction (beamforming solution) at the transmitter to make the phase of the received signal from different antenna elements to be coherently combined at the receiver.

Abstract: Systems and methods are disclosed for transmission with a plurality of base stations (BSs) in a wireless cellular data network where one BS communicates with neighboring BSs by determining a binary or discrete new power level on each subchannel to determine a weighted sum modified rates of a BS and in-neighbor BSs; and resolving concurrent power update in each BS in a distributed manner.

Abstract: Systems and methods are disclosed for processing a low resolution image by performing a high resolution edge segment extraction on the low resolution image; performing an image super resolution on each edge segment; performing reconstruction constraint reinforcement; and generating a high quality image from the low quality image.

Abstract: Systems and methods are disclosed to detect an error in a software with a computer readable code by applying a modular analysis based on the principle of structural abstraction and refinement of program structure; and detecting an assertion violation indicative of a software bug.

Abstract: An optical communication system includes a bit-interleaved coded modulation (BICM) coder; and a low-density parity-check (LDPC) coder coupled to the BICM coder to generate codes used as component codes and in combination with a coherent detector.

Abstract: Systems and methods are disclosed for extracting characteristics from a corpus of linked documents by deriving a content link model that explicitly captures direct and indirect relations represented by the links, and extracting document topics and the topic distributions for all the documents in the corpus using the content-link model.

Abstract: Systems and methods are disclosed for classifying an input image by detecting one or more feature points on the input image; extracting one or more descriptors from each feature point; applying a codebook to quantize each descriptor and generate code from each descriptor; applying spatial pyramid matching to generate histograms; and concatenating histograms from all sub-regions to generate a final representation of the image for classification.

Abstract: A self correcting device includes a first flip-flop to receive data and coupled to a clock input; one or more delayed flip-flops used to detect delay variations; a multiplexer coupled to the output of the first flip-flop and the delayed flip-flops, a metastability detector and error check controller to control the multiplexer to select one flip-flop output; and an adaptive voltage swing link coupled to the multiplexer output to generate a voltage swing on the link based on a selected clock skew.

Abstract: Systems and methods for scheduling transmission that leverages both diversity and spatial reuse gains in the presence of finite user buffers in a two-hop wireless relay setting are disclosed. The system includes partitioning a set of relays to enable spatial reuse while accounting for half-duplex nature of relays, and assigning and reusing of channels to the relays (and associated users) in the two partitions to maximize the aggregate system throughput while ensuring proportional fairness.

Abstract: System and methods are disclosed for optimizing wireless communication for a plurality of mobile wireless devices. The system uses beamforming vectors or precoders having a structure optimal with respect to the weighted sum rate in a multi-cell orthogonal frequency division multiple access (OFDMA) downlink. A plurality of base stations communicate with the mobile devices and all base stations perform a distributed non-convex optimization exploiting the determined structure.

Abstract: Systems and methods are disclosed to process streaming data units (tuples) for an application using a plurality of processing units, the application have a predetermined processing time requirement, by changing an operator-set applied to the tuple by a processing unit, on a tuple-by-tuple basis; estimating code requirement for potential operators based on processing unit capability; and assigning the potential operators to the processing units.

Abstract: Systems and methods are disclosed that profile event sequences by creating a mixture model from the event sequences; estimating parameters for the mixture model; and applying the mixture model to profile the event sequences.

Abstract: Systems and methods are for generating a codebook by: generating a multi-resolution codebook by selecting a common precoder index from a low resolution codebook for a group of adjacent resource blocks (RB)s and for each RB within the group, selecting a high-resolution codebook to fine-tune each RB precoder; and generating feedback for the multi-resolution codebook by quantizing channel state variations.

Abstract: An adaptive scheduling process is disclosed which dynamically decides which frames need to be transmitted and which ones need to be dropped at any transmission opportunity based on current channel conditions and on characteristics of each video frame.

Abstract: A system is disclosed with a collaborative filtering engine to predict an active user's ratings/interests/preferences on a set of new products/items. The predictions are based on an analysis the database containing the historical data of many users' ratings/interests/preferences on a large set of products/items.

Abstract: Systems and methods are disclosed for deciding a satisfiability problem with linear and non-linear operations by: encoding non-linear integer operations into encoded linear operations with Boolean constraints by Booleaning and linearizing, combining the linear and encoded linear operations into a formula, solving the satisifiability of the formula using a solver, wherein the encoding and solving includes at least one of following: a. Booleanizing one of the non-linear operands by bit-wise structural decomposition b. Linearizing a non-linear operator by selectively choosing one of the operands for Booleanization c. Solving using an incremental lazy bounding refinement (LBR) procedure without re-encoding formula, and verifying the linear and non-linear operations in a computer software.

Abstract: Systems and methods are disclosed for analyzing data-flow using program expressions or terms by extracting a control flow graph node from a work list; merging symbolic term values at join nodes; performing simplification of term values using rewriting logic; determining successors of the graph node to which data must be propagated; and updating symbolic data for elements of the successors.

Abstract: A wireless network with integrated scheduling of unicast and multicast users in a relay-enabled two-hop wireless network is disclosed. In this system, users with finite buffers are considered and scheduled over multiple channels in an OFDMA-based wireless network. The gain-specific and efficient scheduling system helps leverage diversity and spatial reuse gains from these networks. The system is applicable to both unicast and multicast traffic and leverages diversity and spatial reuse gains simultaneously to optimize the target network with both unicast and multicast flows. The integrated scheduling system strikes a good balance in delivering efficient performance to unicast and multicast flows.

Abstract: Systems and methods are disclosed for factorizing high-dimensional data by simultaneously capturing factors for all data dimensions and their correlations in a factor model, wherein the factor model provides a parsimonious description of the data; and generating a corresponding loss function to evaluate the factor model.

Abstract: System and methods are disclosed to perform multi-human 3D tracking with a plurality of cameras. At each view, a module receives each camera output and provides 2D human detection candidates. A plurality of 2D tracking modules are connected to the CNNs, each 2D tracking module managing 2D tracking independently. A 3D tracking module is connected to the 2D tracking modules to receive promising 2D tracking hypotheses. The 3D tracking module selects trajectories from the 2D tracking modules to generate 3D tracking hypotheses.