Matches 1 - 28 out of 28


Match Document Document Title
US20150235125 AUDITORY SOURCE SEPARATION IN A SPIKING NEURAL NETWORK  
A method of audio source segregation includes selecting an audio attribute of an audio signal. The method also includes representing a portion of the audio attribute that is dominated by a single...
US20100057653 DEVICE AND METHOD RESPONSIVE TO INFLUENCES OF MIND  
V An anomalous effect detector (100, 130, 300, 800, 830, 840, 900, 930) responsive to an influence of mind comprises a source of non-deterministic random numbers, SNDRN, (104, 134, 310), a...
US20090022331 Systems and Methods for Inducing Effects In A Signal  
A system for inducing an effect in a raw audio signal comprises a computing device for receiving a first audio signal and a second audio signal from a signal source, and the second audio signal...
US20140046885 METHOD AND APPARATUS FOR OPTIMIZED REPRESENTATION OF VARIABLES IN NEURAL SYSTEMS  
Certain aspects of the present disclosure support a technique for optimized representation of variables in neural systems. Bit-allocation for neural signals and parameters in a neural network...
US20140129497 METHODS AND APPARATUS FOR PERFORMING ONSET DETECTION IN A NEURONAL SPIKING REPRESENTATION OF A SIGNAL  
Certain aspects of the present disclosure provide methods and apparatus for performing onset detection in a neuronal spiking representation of a signal, such as an auditory signal. One example...
US20130036078 DEVICE AND METHOD RESPONSIVE TO INFLUENCES OF MIND  
V An anomalous effect detector (100, 130, 300, 800, 830, 840, 900, 930) responsive to an influence of mind comprises a source of non-deterministic random numbers, SNDRN, (104, 134, 310), a...
US20090164398 SIGNAL PROCESSING APPARATUS, SIGNAL PROCESSING METHOD, SIGNAL PROCESSING PROGRAM AND LEARNING APPARATUS  
Disclosed herein is a signal processing apparatus for carrying out signal processing to convert input data into output data with a quality higher than the quality of the input data, the data...
US20140279778 Systems and Methods for Time Encoding and Decoding Machines  
Systems and methods for system identification, encoding and decoding signals in a non-linear system are disclosed. An exemplary method can include receiving the one or more input signals and...
US20140279777 SIGNAL PROCESSING SYSTEMS  
We describe a signal processor, the signal processor comprising: a probability vector generation system, wherein said probability vector generation system has an input to receive a category vector...
US20170161602 DATA COLLECTING DEVICE AND OPTICAL TRANSMISSION SYSTEM  
A data collecting device includes a receiver configured to receive an optical signal; an optical-to-electrical converter configured to convert the optical signal received by the receiver into an...
US20170140260 CONTENT FILTERING WITH CONVOLUTIONAL NEURAL NETWORKS  
Systems and techniques are provided for content filtering with convolutional neural networks. A spectrogram generated from audio data may be received. A convolution may be applied to the...
US20170053203 Neural Networks for Transforming Signals  
A method for transforms input signals, by first defining a model for transforming the input signals, wherein the model is specified by constraints and a set of model parameters. An iterative...
US20170039467 Neuron network signal detection device  
A neuron network signal detection device is disclosed herein, comprising at least two coupled neurons, each neuron is connected to a sensor that transmits DC signal and the output terminal of...
US20160350650 NORMALIZING ELECTRONIC COMMUNICATIONS USING NEURAL NETWORKS  
Electronic communications can be normalized using neural networks. For example, an electronic representation of a noncanonical communication can be received. A normalized version of the...
US20160350646 NORMALIZING ELECTRONIC COMMUNICATIONS USING A NEURAL NETWORK  
Electronic communications can be normalized using a neural network. For example, a noncanonical communication that includes multiple terms can be received. The noncanonical communication can be...
US20160328647 BIT WIDTH SELECTION FOR FIXED POINT NEURAL NETWORKS  
A method for selecting bit widths for a fixed point machine learning model includes evaluating a sensitivity of model accuracy to bit widths at each computational stage of the model. The method...
US20160321540 FILTER SPECIFICITY AS TRAINING CRITERION FOR NEURAL NETWORKS  
A method of training a neural network model includes determining a specificity of multiple filters after a predetermined number of training iterations. The method also includes training each of...
US20160292566 SIGNAL PROCESSING MODULE, ESPECIALLY FOR A NEURAL NETWORK AND A NEURONAL CIRCUIT  
A signal processing module comprises at least one operational unit incorporating computation units, input and output interfaces able to be linked to a bus and a memory storing data destined for...
US20160283841 CONVOLUTIONAL NEURAL NETWORKS  
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for keyword spotting. One of the methods includes training, by a keyword detection system, a...
US20160132768 SYSTEMS AND METHODS FOR TRAINING MULTIPATH FILTERING SYSTEMS  
A method for training a neural network to be configured to filter a multipath corrupted signal is provided. The method includes receiving, at the neural network, real or simulated multipath...
US20160110643 SYSTEMS AND METHODS FOR CLASSIFYING ELECTRICAL SIGNALS  
An analog implementation is proposed of an adaptive signal processing model of a kind requiring a plurality of randomly-set variables. In particular, following a digital to analog conversion of a...
US20160071003 Multilayer Perceptron for Dual SIM Dual Active Interference Cancellation  
The various embodiments include methods and apparatuses for cancelling nonlinear interference during concurrent communication of dual-technology wireless communication devices. Nonlinear...
US20160034810 Neural Networks for Transforming Signals  
A method for transforms input signals, by first defining a model for transforming the input signals, wherein the model is specified by constraints and a set of model parameters. An iterative...
US20160019459 NOISE-ENHANCED CONVOLUTIONAL NEURAL NETWORKS  
A learning computer system may include a data processing system and a hardware processor and may estimate parameters and states of a stochastic or uncertain system. The system may receive data...
US20160019456 DECOMPOSING CONVOLUTION OPERATION IN NEURAL NETWORKS  
A method of training a neural network includes encouraging one or more filters in the neural network to have a low rank.
US20160004961 FEATURE EXTRACTION USING A NEUROSYNAPTIC SYSTEM  
Embodiments of the invention provide a neurosynaptic system comprising a first set of one or more neurosynaptic core circuits configured to receive input data comprising multiple input regions,...
US20150379394 DEVICE AND METHOD FOR THE AUTONOMOUS BOOTSTRAPPING OF UNIFIED SENTIENCE  
A system for monitoring an environment may include an input device for monitoring and capturing pattern-based states of a model of the environment. The system may also include a 5 thalamobot...
US20150278686 METHOD, SYSTEM AND ARTIFICIAL NEURAL NETWORK  
It is disclosed a method comprising obtaining a target spectrum, obtaining a set of non-target spectra, the set of non-target spectra comprising one or more non-target spectra, summing the target...

Matches 1 - 28 out of 28