Abstract: A method of extracting features and classifying a neurological state of a subject is provided. The method includes recording brain electrical activity, organizing the recorded data set into digital documents, computing a diffusion geometry on the data set comprising at least a plurality of diffusion coordinates, and classifying the data set into a neurological state based on the metrics provided by the diffusion coordinates.

Abstract: Disclosed are devices, methods and systems for the measurement of fuel composition and the detection and measurement of phase separation in fuel storage tanks. An embodiment measures optical and/or electrical impedance spectral features of the fuel by a series of sensors placed at a series of heights within a fuel storage tank. Embodiments are disclosed to measure aspects of the water, ethanol and gasoline content as well as other constituents of a fuel mixture, as well as the onset of the two phase event and the completed extent of the water intrusion into the system in concert with the level at which the layers exist in a fuel container.

Abstract: Systems and methods are disclosed for searching or finding music with music, by searching, e.g., for music from a library that has a sound that is similar to a given sound provided as a search query, and to methods and systems for tracking revenue generated by these computer-user interactions, and for promoting music and selling advertising space. These include, inter alia, systems that allow a user to discover unknown music, and systems that allow a user to look for music based directly on queries formed from sounds that the user likes. In some embodiments these queries are comprised of a clip or relatively small segment of a larger media file. A client server system comprising web graphical elements, advertisements and/or other affiliated revenue links, elements in support of the music query and a music player, a database, elements for matching music clips to clips from a library, and elements to present results.

Abstract: Systems and methods for sonification, user influence through sound, and biofeedback, sonification of motion and physiological parameters during physical exercise and the use of music and sound in order to influence the emotional, psychological and physiological state of an exerciser, and the use of sonification and influence in a feedback loop to create a particular exercise experience for a user. A digital music player comprises physiological sensors, a controller, a user interface, a music decoder, a music playback modulator, and an audio data store. The user interface allows a user to specify target values for the physiological sensors as a function of time, the controller selects a playlist of audio data based on the target values, the music decoder decodes the audio data in a sequence corresponding to the playlist, and the music playback modulator causes the sequence and/or the decoding to be modified according to the values of the physiological sensor.

Abstract: Encoded spatio-spectral information processing is performed using a system having a radiation source, wavelength dispersion device and two-dimensional switching array, such as digital micro-mirror array (DMA). In one aspect, spectral components from a sample are dispersed in space and modulated separately by the switching array, each element of which may operate according to a predetermined encoding pattern. The encoded spectral components can then be detected and analyzed. In a different aspect, the switching array can be used to provide a controllable radiation source for illuminating a sample with radiation patterns that have predetermined characteristics and separately encoded components. Various applications are disclosed.

Abstract: The present invention is directed to a method for inferring/estimating missing values in a data matrix d(q, r) having a plurality of rows and columns comprises the steps of: organizing the columns of the data matrix d(q, r) into affinity folders of columns with similar data profile, organizing the rows of the data matrix d(q, r) into affinity folders of rows with similar data profile, forming a graph Q of augmented rows and a graph R of augmented columns by similarity or correlation of common entries; and expanding the data matrix d(q, r) in terms of an orthogonal basis of a graph Q×R to infer/estimate the missing values in said data matrix d(q, r) on the diffusion geometry coordinates.

Abstract: An apparatus and method for multispectral imaging comprising an array of filters in a mosaic pattern, a sensor array and an acquisition and processing module. The sensor array being disposed to receive an image that has been filtered by the array of filters. The acquisition and processing module processes the output of the sensor array (or mosaic acquired data) to provide a processed image. The acquisition and processing module processes the mosaic acquired data by performing first interpolation on the mosaic acquired data by the sensor array to provide a first approximation and performing second interpolation on the values of the first approximation to provide a second approximation.

Abstract: Systems and methods for sonification, user influence through sound, and biofeedback, sonification of motion and physiological parameters during physical exercise and the use of music and sound in order to influence the emotional, psychological and physiological state of an exerciser, and the use of sonification and influence in a feedback loop to create a particular exercise experience for a user. A digital music player comprises physiological sensors, a controller, a user interface, a music decoder, a music playback modulator, and an audio data store. The user interface allows a user to specify target values for the physiological sensors as a function of time, the controller selects a playlist of audio data based on the target values, the music decoder decodes the audio data in a sequence corresponding to the playlist, and the music playback modulator causes the sequence and/or the decoding to be modified according to the values of the physiological sensor.

Abstract: A spectral measurement device comprising an entrance aperture for receiving an electromagnetic energy and a mask located at the entrance aperture in the form of a two-dimensional encodement pattern. An optical element conditions the electromagnetic energy received from the mask for presentation to the spectral dispersion element and the and a spectral dispersion element disperses the electromagnetic energy in one or more dimensions. Additionally, the optical element conditions the dispersed electromagnetic energy onto an array of detector elements.

Abstract: An improved method and system for classifying tissue samples comprises determining a tissue type classification based on spectral data of training samples of known target classification. Denoised spectral data is generated from the spectral data based on the tissue type classification. A classifier is then trained using the denoised spectral data to classify the tissue samples.

Abstract: The present invention is directed to a method and computer system for representing a dataset comprising N documents by computing a diffusion geometry of the dataset comprising at least a plurality of diffusion coordinates. The present method and system stores a number of diffusion coordinates, wherein the number is linear in proportion to N.

Abstract: A hyper-spectral imaging system comprises imaging foreoptics to focus on a scene or object of interest and transfer the image of said scene or object onto the focal plane of a spatial light modulator, a spatial light modulator placed at a focal plane of said imaging foreoptics, an imaging dispersion device disposed to receive an output image of said spatial light modulator, and an image collecting device disposed to receive the output of said imaging dispersion device.

Abstract: A hyper-spectral analysis method for characterizing or distinguishing diverse elements within hyper-spectral images. A plurality of patches of pixels from within the hyper-spectral images are extracted as being patches around pixels of the elements to be characterized or distinguished. The statistics of spectra for each patch of pixels are computed. A first classifier is computed from frequency-wise standard deviation of the spectra in each patch and a set of second classifiers are computed from principal components of the spectral in each patch. A combined classifier is computed based on the output of the first classifier and at least one of the second classifiers. The elements are characterized or distinguished based on the output of at least one of the classifiers, preferably the combined classifier.

Abstract: A spectral measurement device comprising an entrance aperture for receiving an electromagnetic energy and a mask located at the entrance aperture in the form of a two-dimensional encodement pattern. An optical element conditions the electromagnetic energy received from the mask for presentation to the spectral dispersion element and the and a spectral dispersion element disperses the electromagnetic energy in one or more dimensions. Additionally, the optical element conditions the dispersed electromagnetic energy onto an array of detector elements.

Abstract: Encoded spatio-spectral information processing is performed using a system having a radiation source, wavelength dispersion device and two-dimensional switching array, such as digital micro-mirror array (DMA). In one aspect, spectral components from a sample are dispersed in space and modulated separately by the switching array, each element of which may operate according to a predetermined encoding pattern. The encoded spectral components can then be detected and analyzed. In a different aspect, the switching array can be used to provide a controllable radiation source for illuminating a sample with radiation patterns that have predetermined characteristics and separately encoded components. Various applications are disclosed.

Abstract: The disclosure involves the use of a library of modulated wavelet-packets which are effective in providing both precise frequency localization and space localization. An aspect of the disclosure involves feature extraction by determination of the correlations of a library of waveforms with the signal being processed, while maintaining, orthogonality of the set of waveforms selected (i.e. a selected advantageous basis). In a disclosed embodiment, a method is provided for encoding and decoding an input signal, comprising the following steps: applying combinations of dilations and translations of a wavelet to the input signal to obtain processed values; computing the information costs of the processed values; selecting, as encoded signals, an orthogonal group of processed values, the selection being dependent on the computed information costs; and decoding the encoded signals to obtain an output signal. The wavelet preferably has a plurality of vanishing moments.

Abstract: The disclosure involves the use of a library of modulated wavelet-packets which are effective in providing both precise frequency localization and space localization. An aspect of the disclosure involves feature extraction by determination of the correlations of a library of waveforms with the signal being processed, while maintaining orthogonality of the set of waveforms selected (i.e. a selected advantageous basis). In a disclosed embodiment, a method is provided for encoding and decoding an input signal, such as an audio or video signal, comprising the following steps: applying combinations of dilations and translations of a wavelet to the input signal to obtain processed values; computing the information costs of the processed values; selecting, as encoded signals, an orthogonal group of processed values, the selection being dependent on the computed information costs; and decoding the encoded signals to obtain an output signal.