| Class / Patent application number | Description | Number of patent applications / Date published |
|---|
| 708308000 | Multidimensional data | 10 |
| 20080201397 | SEMI-AUTOMATIC SYSTEM WITH AN ITERATIVE LEARNING METHOD FOR UNCOVERING THE LEADING INDICATORS IN BUSINESS PROCESSES - Embodiments herein select performance indicators from raw data and measure the indicators over at least one time period to extract a time series of data for each of the indicators. The methods filter out redundant indicators to produce a reduced indicator set of time series of data. The embodiments detect correlations among the time series of data within the reduced indicator set by considering time-shifts between the time series of data so as to identify correlated indicators. The method determines a time order among the correlated indicators and determines a causal direction among the correlated indicators based on which of the correlated indicators occurs first in time so as to identify relative leading indicators among the correlated indicators. However, if the correlated indicators occur at approximately a same time, the determining of the causal direction is based on a relative ability of each of the indicators to predict behavior of another of the correlated indicators. The processes of determining the time order and determining the causal direction can comprise applying Dynamic Time Warping and/or Granger Causality techniques to the time series of data. | 08-21-2008 |
| 20080307025 | LOCATION DETERMINATION IN SENSOR NETWORKS USING TIME-WINDOW ALGORITHM - A network system and a method of determining a location of a transmitter are described. The method includes reading a signal strength of a signal transmitted by the transmitter by each of a plurality of receivers, at each frequency in a plurality of frequencies, extracting phase information using an amplitude of the signal at each of the plurality of frequencies, and applying a transform (such as a Fourier Transform) to the signal in the frequency domain to obtain a representation of the signal in the time-domain. The method further includes applying a time window to the signal in the time-domain to eliminate reflected multipath signals that arrive to the respective receivers later than a line-of-sight signal to obtain a windowed signal in the time domain, and calculating a location of the transceiver using the windowed time domain signal. | 12-11-2008 |
| 20090210469 | METHODS AND DEVICES FOR FILTERING AND CODING A DIGITAL SIGNAL - To filter a digital signal, in which, for each sample of the signal, a plurality of context functions take account of a predetermined number of other samples of the signal: the value of a context function from the plurality of context functions for each sample to be filtered is calculated; the signal is divided into a set of sub-signals corresponding respectively to the different values of the context functions; and, for each sub-signal: an optimal filter is determined according to a first criterion that depends on the values of the sub-signal; and the optimal filter is associated with the context function corresponding to the sub-signal. | 08-20-2009 |
| 20090240754 | OPERATION METHOD AND APPARATUS FOR PERFORMING OVERLAP FILTER AND CORE TRANSFORM - A hardware implementation method for concurrently realizing overlap filter and core transform and an operation method thereof are provided. The overlap filter and core transform can be adjusted according to different specifications, processes, and operation frequencies. The hardware implementation method and the operation method thereof adopt a transform-level hardware sharing architecture and multi-port input/output register array, thereby efficiently realizing overlap filter and core transform. | 09-24-2009 |
| 20100100577 | METHODS AND SYSTEMS FOR ANALYSIS OF MULTI-SAMPLE, TWO-DIMENSIONAL DATA - The present invention utilizes a pattern extraction methodology to elucidate significant patterns and mathematical relationships that exist between and among pluralities of two-dimensional sample data sets of the same data type. In one instance, the present invention analyzes multi-sample, two-dimensional mass spectroscopy data, while in an alternate instance, another user-specified, preset, or automatically determined data type, modality, submodality, etc., is analyzed. | 04-22-2010 |
| 20100115016 | Thresholding of Image Difference Maps - Computer-readable media having corresponding apparatus embodies instructions executable by a computer to perform a method comprising: receiving a first array; generating a plurality of second arrays based on the first array, wherein each of the second arrays is generated using a different threshold number, and wherein each entry of the second arrays indicates whether a corresponding entry in the first array exceeds the respective threshold number; generating a first vector, wherein each entry in the first vector represents a number of connected components for a respective one of the second arrays; generating a second vector based on the first vector, wherein each entry of the second vector represents a variance of a plurality of entries, including a corresponding entry, of the first vector; generating a third vector, comprising filtering the second vector; and selecting, based on the third vector, one of the threshold numbers, of the second arrays or both. | 05-06-2010 |
| 20110173244 | STATE FILTER - Embodiments described herein describe the construction of frequency domain estimates of generalized power density and the filters that can be constructed from those estimates. Using the concept of the Stokes vector representation of the spectral matrix in an M-dimensional vector space, a generalization of the process in which the spectral matrix may be represented by a set of trace-orthogonal matrices that are based upon a particular signal state can be produced. One aspect of the process is as follows: given a particular signal, represented as by a state vector in the space, a complete, orthonormal set of vectors can be produced that includes the signal of interest. Then, a generalized set of matrices is constructed, based upon the developed vectors, that are trace-orthogonal and which serve as a basis set for the expansion of the spectral matrix. The coefficients of this expansion form a generalized Stokes vector that represents the power in the spectral matrix associated with the various state vectors. Filters that serve to extract or suppress information about a particular state may then be constructed using the components of the generalized Stokes vectors. The effectiveness of an embodiment this filter is demonstrated using acoustic data from a microphone array. | 07-14-2011 |
| 20110208795 | FILTERING DEVICE WITH A HIERARCHICAL STRUCTURE, AND RECONFIGURABLE FILTERING DEVICE - The invention provides a filtering device with hierarchical structure making it possible to carry out finite impulse response and infinite impulse response linear filtering functions and which can be combined with one or more devices of the same type. The device includes at least one first and one second filtering module having means for carrying out filtering functions with N configurable coefficients. A first subset of the N coefficients of a module is configured to carry out nonrecursive filtering functions, a second subset of the coefficients configured to carry out recursive filtering functions, one or more feedback loops able to be activated per module, at least one result sample of the filtering being generated at each clock cycle. The invention also provides a reconfigurable filtering device using at least two filtering devices with the hierarchical structure. | 08-25-2011 |
| 20140095565 | Constrained Grid-Based Filter - A constrained four dimensional grid-based filter (CGBF) used to provide state estimates for a target maneuvering in two dimensions. Optimal grid and sampling sizes or chosen and the kinematic constraints of the target a y used to restrict the possible predicted states resulting in quality target estimates. | 04-03-2014 |
| 20180026607 | METHOD FOR THE NON-LINEAR ESTIMATION OF A MIXTURE OF SIGNALS | 01-25-2018 |
