Patent application number | Description | Published |
20080247471 | Low Power, Wavelet-Based Spike Detector - A multi-scale spike detector for performing multi-resolution spike detections of a signal is provided. The spike detector includes a gamma filter having cascaded low-pass filters. The cascaded filters collectively provide different cutoff frequencies, each of the filters having a respective output. One of the filters has an input, at which the signal is received. The spike detector further includes combining circuitry that combines at least some of the respective outputs of the cascaded filters. The differences formed from this combining provide a waveform representation of the input signal. The waveform representation consists essentially of spikes that occur in the signal. | 10-09-2008 |
20080293372 | Optimum Nonlinear Correntropy Filted - A signal processing method is provided. The method includes receiving a signal input, and filtering the signal input using a nonlinear correntropy filter. The method additionally includes generating an output based upon the filtering of the signal input. The nonlinear correntropy filter can be configured as a nonlinear Wiener filter. Alternatively, the nonlinear correntropy filter can be configured as a correntropy least mean square (LMS) filter, or a correntropy Newton/LMS filter. | 11-27-2008 |
20090203343 | DEVICE AND METHODS FOR ENHANCED MATCHED FILTERING BASED ON CORRENTROPY - A signal processing device is provided, the device having a signal input for receiving a signal conveyed over a channel and defining a received signal. The device further includes one or more filters for generating a signal response based upon the received signal. The signal response includes an estimated value of a correntropy statistic. Additionally, the device includes a decision module connected to at least one of the filters for probabilistically deciding whether the received signal contains an information signal component based upon the estimated value of the correntropy statistic. The device further includes a signal output to convey a signal output indicating the received signal corresponds to a known signal template if the decision module decides that the received signal contains the information signal component. | 08-13-2009 |
20090299212 | System and Method for Analyzing Progress of Labor and Preterm Labor - Systems and methods for monitoring uterus contraction activity and progress of labor. The system of the subject invention can comprises (1) a plurality of sensors; (2) an amplifying/filtering means; (3) a computing means; and (4) a graphical user interface. Accurate clinical data, which can be extracted and provided to the user in real-time using the system of the invention, include without limitation, progress of labor, prediction and monitoring of preterm labor, and intrauterine pressure prediction. In a preferred embodiment, the system of the invention includes an intelligence means, such as a neural network system, to analyze and interpret clinical data for use in clinical diagnosis as well as delivery strategy. | 12-03-2009 |
20100137734 | SYSTEM AND METHOD FOR BRAIN MACHINE INTERFACE (BMI) CONTROL USING REINFORCEMENT LEARNING - A Brain Machine Interface (BMI) agent ( | 06-03-2010 |
20100174859 | HIGH CAPACITY CONTENT ADDRESSABLE MEMORY - A set of data is stored in an input space of a kernel content addressable memory. The input space comprising the set of data is transformed into a feature space of higher dimension. The set of data is a set of transformed data within the feature space. An inner product is calculated between the set of transformed data in the feature space using a kernel function. | 07-08-2010 |
20100197258 | ROBUST SIGNAL DETECTION USING CORRENTROPY | 08-05-2010 |
20110192398 | OBSTETRIC ANALGESIA SYSTEM - The present invention relates to systems and methods for providing a short-acting analgesic agent in the management of pain during labor, wherein the system enables efficient, real-time prediction of contractions for the coordinated administration of analgesia such that the peak effectiveness of the analgesic coincides with the intermittent pain of labor. | 08-11-2011 |
20120238894 | System and Method for Analyzing Progress of Labor and Preterm Labor - Systems and methods for monitoring uterus contraction activity and progress of labor. The system of the subject invention can comprises (1) a plurality of sensors; (2) an amplifying/filtering means; (3) a computing means; and (4) a graphical user interface. Accurate clinical data, which can be extracted and provided to the user in real-time using the system of the invention, include without limitation, progress of labor, prediction and monitoring of preterm labor, and intrauterine pressure prediction. In a preferred embodiment, the system of the invention includes an intelligence means, such as a neural network system, to analyze and interpret clinical data for use in clinical diagnosis as well as delivery strategy. | 09-20-2012 |
20120317061 | TIME ENCODING USING INTEGRATE AND FIRE SAMPLER - Systems and methods of time encoding using an integrate and fire (IF) sampler are disclosed. In an example, a method includes receiving input signals for separate classes. The method also includes generating a pulse train based on the input signals. The method also includes binning the pulse train to generate a feature vector. | 12-13-2012 |
20130069786 | DETECTING REGIME CHANGE IN STREAMING DATA - Regime change in streaming data is detected. The streaming data is sent to a plurality of modules. Each module in the plurality of modules produces an association measure. The association measure is a measure of similarity between the streaming data and regime data associated with the module producing the association measure. A regime change in the streaming data is detected based on values of the association measures from the plurality of modules. | 03-21-2013 |
20130085715 | ANOMALY DETECTION IN STREAMING DATA - Systems and methods for anomaly detection in streaming data are disclosed. An example method includes applying statistical analysis to streaming data in a sliding window. The method also includes extracting a feature. The method also includes determining class assignment for the feature using class conditional probability densities and a threshold. | 04-04-2013 |
20140032450 | CLASSIFYING UNCLASSIFIED SAMPLES - A system and method for classifying unclassified samples. The method includes detecting a number of classes including training samples in training data sets. The method includes, for each class, determining a vector for each training sample based on a specified number of nearest neighbor distances between the training sample and neighbor training samples, and determining a class distribution based on the vectors. The method also includes detecting an unclassified sample in a data set and, for each class, determining a vector for the unclassified sample based on the specified number of nearest neighbor distances between the unclassified sample and nearest neighbor training samples within the class, and determining a probability that the unclassified sample is a member of the class based on the vector and the class distribution. The method further includes classifying the unclassified sample based on the probabilities. | 01-30-2014 |
Patent application number | Description | Published |
20130132315 | CLASSIFICATION USING CORRENTROPY - Various methods and systems are provided for classification using correntropy. In one embodiment, a classifying device includes a processing unit and memory storing instructions in modules that when executed by the processing unit cause the classifying device to adaptively classify a data value using a correntropy loss function. In another embodiment, a method includes adjusting a weight of a classifier based at least in part on a change in a correntropy loss function signal and classifying a data value using the classifier. In another embodiment, a method includes classifying a data value by predicting a label for the data value using a discriminant function, determining a correntopy statistical similarity between the predicted label and an actual label based at least in part on a correntropy loss function, and minimizing an expected risk associated with the predicted label based at least in part on a correntropy statistical similarity. | 05-23-2013 |
20130211829 | ADAPTIVE SYSTEMS USING CORRENTROPY - Various methods and systems are provided for related to adaptive systems using correntropy. In one embodiment, a signal processing device includes a processing unit and a memory storing an adaptive system executable in the at least one processing unit. The adaptive system includes modules that, when executed by the processing unit, cause the signal processing device to adaptively filter a desired signal using a correntropy cost function. In another embodiment, a method includes adjusting a coefficient of an adaptive filter based at least in part on a correntropy cost function signal, providing an adaptive filter output signal based at least in part on the adjusted coefficient and a reference signal, and determining an error signal based at least in part on a received signal and the adaptive filter output signal. | 08-15-2013 |
20130289426 | CLASSIFICATION OF A SIGNAL IN A TIME DOMAIN - Methods, systems, and computer-readable and executable instructions are provided for classifying an electrocardiogram (ECG) signal. Classifying an ECG signal can include analyzing the ECG signal using a stream of pulses generated by a sampler, extracting cardiac pulse features from a timing of the stream of pulses, and classifying the ECG signal based on the extracted cardiac pulse feature. | 10-31-2013 |
20140193072 | ADAPTIVE BACKGROUND ESTIMATION - Various methods and systems are provided for adaptive background estimation. In one embodiment, among others, a signal processing device includes at least one processing unit and a memory storing a background estimation system executable in the at least one processing unit. The background estimation system, when executed, causes the signal processing device to separate foreground objects from at least one image frame in a sequence of image frames based at least in part upon a correntropy cost function. In another embodiment, a method includes obtaining an image frame from a sequence of image frames; performing correntropy filtering on the image frame to separate foreground objects from the image frame; and providing the foreground objects for rendering. The correntropy filtering may adapt to compensate for diffusion effects in the image frame. | 07-10-2014 |