Inventors list

Assignees list

Classification tree browser

Top 100 Inventors

Top 100 Assignees


Baraniuk, US

James N. Baraniuk, Bethesda, MD US

Patent application numberDescriptionPublished
20100155243System and Method For the Separation of Analytes - A separation module operates to fractionate or separate an analyte into fractions according to pI, i.e., pI bands, utilizing capillary isoelectric focusing (“CIEF”) within a first microchannel. The fractions are stacked to form plugs, the number of which is determined by a number of parallel second microchannels integrally connected to the first microchannel, into which the fractions are directed according to the buffer characteristics found in each of the individual microchannels. Within the microchannels the plugs are separated into proteins according to a different chemical property, i.e., “m/z,” utilizing capillary electrophoresis (“CE”).06-24-2010

Richard G. Baraniuk, Houston, TX US

Patent application numberDescriptionPublished
20080228446Method and Apparatus for Signal Detection, Classification and Estimation from Compressive Measurements - The recently introduced theory of Compressive Sensing (CS) enables a new method for signal recovery from incomplete information (a reduced set of “compressive” linear measurements), based on the assumption that the signal is sparse in some dictionary. Such compressive measurement schemes are desirable in practice for reducing the costs of signal acquisition, storage, and processing. However, the current CS framework considers only a certain task (signal recovery) and only in a certain model setting (sparsity).09-18-2008
20090222226Method and Apparatus for On-Line Compressed Sensing - A typical data acquisition system takes periodic samples of a signal, image, or other data, often at the so-called Nyquist/Shannon sampling rate of two times the data bandwidth in order to ensure that no information is lost. In applications involving wideband signals, the Nyquist/Shannon sampling rate is very high, even though the signals may have a simple underlying structure. Recent developments in mathematics and signal processing have uncovered a solution to this Nyquist/Shannon sampling rate bottlenck for signals that are sparse or compressible in some representation. We demonstrate and reduce to practice methods to extract information directly from an analog or digital signal based on altering our notion of sampling to replace uniform time samples with more general linear functionals. One embodiment of our invention is a low-rate analog-to-information converter that can replace the high-rate analog-to-digital converter in certain applications involving wideband signals. Another embodiment is an encoding scheme for wideband discrete-time signals that condenses their information content.09-03-2009
20100001901Apparatus and Method for Compressive Sensing Radar Imaging - Method and apparatus for developing radar scene and target profiles based on Compressive Sensing concept. An outgoing radar waveform is transmitted in the direction of a radar target and the radar reflectivity profile is recovered from the received radar wave sequence using a compressible or sparse representation of the radar reflectivity profile in combination with knowledge of the outgoing wave form. In an exemplary embodiment the outgoing waveform is a pseudo noise sequence or a linear FM waveform.01-07-2010
20100241378Method and Apparatus for Compressive Parameter Estimation and Tracking - We have developed a new method and apparatus for tracking and estimating parameters of locally oscillating signals from measurements that approximately preserve the inner product among signals in a class of signals of interest. Random demodulation, random sampling, and coset sampling are three prime examples of these techniques.09-23-2010
20100315513Method And Apparatus For Compressive Imaging Device Having Startle Reflex - A method and apparatus for new digital image/video camera that directly acquires random projections of the incident light field without first collecting the pixels/voxels and has a startle reflex. The startle reflex is achieved by collecting a training set of samples while operating the imaging device at the low sampling rate, computing an empirical probability distribution of the training set of samples, collecting a testing set of samples while operating the imaging device at the low sampling rate, computing an empirical probability distribution of the testing set of samples, computing an empirical entropy test statistic, and capturing an image at the high sampling rate in response to the computed empirical entropy statistic exceeding a threshold.12-16-2010
20110025870METHOD AND APPARATUS FOR COMPRESSIVE IMAGING DEVICE - A new digital image/video camera that directly acquires random projections of the incident light field without first collecting the pixels/voxels. In one preferred embodiment, the camera employs a digital micromirror array to perform optical calculations of linear projections of an image onto pseudorandom binary patterns. Its hallmarks include the ability to obtain an image with only a single detection element while measuring the image/video fewer times than the number of pixels or voxels—this can significantly reduce the computation required for image/video acquisition/encoding. Since the system features a single photon detector, it can also be adapted to image at wavelengths that are currently impossible with conventional CCD and CMOS imagers.02-03-2011
20110215856Method And Apparatus For Automatic Gain Control for Nonzero Saturation Rates - A method for automatic gain control comprising the steps of measuring a signal using compressed sensing to produce a sequence of blocks of measurements, applying a gain to one of the blocks of measurements, adjusting the gain based upon a deviation of a saturation rate of the one of the blocks of measurements from a predetermined nonzero saturation rate and applying the adjusted gain to a second of the blocks of measurements. Alternatively, a method for automatic gain control comprising the steps of applying a gain to a signal, computing a saturation rate of the signal and adjusting the gain based upon a difference between the saturation rate of the signal and a predetermined nonzero saturation rate.09-08-2011
20110241917Method And Apparatus For Signal Reconstruction From Saturated Measurements - A method for recovering a signal by measuring the signal to produce a plurality of compressive sensing measurements, discarding saturated measurements from the plurality of compressive sensing measurements and reconstructing the signal from remaining measurements from the plurality of compressive sensing measurements. Alternatively, a method for recovering a signal comprising the steps of measuring a signal to produce a plurality of compressive sensing measurements, identifying saturated measurements in the plurality of compressive sensing measurements and reconstructing the signal from the plurality of compressive sensing measurements, wherein the recovered signal is constrained such that magnitudes of values corresponding to the identified saturated measurements are greater than a predetermined value.10-06-2011

Patent applications by Richard G. Baraniuk, Houston, TX US

Richard G. Baraniuk US

Patent application numberDescriptionPublished
20110260036Temporally- And Spatially-Resolved Single Photon Counting Using Compressive Sensing For Debug Of Integrated Circuits, Lidar And Other Applications - A method for photon counting including the steps of collecting light emitted or reflected/scattered from an object; imaging the object onto a spatial light modulator, applying a series of pseudo-random modulation patterns to the SLM according to standard compressive-sensing theory, collecting the modulated light onto a photon-counting detector, recording the number of photons received for each pattern (by photon counting) and optionally the time of arrival of the received photons, and recovering the spatial distribution of the received photons by the algorithms of compressive sensing (CS).10-27-2011

Richard Gordon Baraniuk, Houston, TX US

Patent application numberDescriptionPublished
20080270055ANALOG SYSTEM FOR COMPUTING SPARSE CODES - A parallel dynamical system for computing sparse representations of data, i.e., where the data can be fully represented in terms of a small number of non-zero code elements, and for reconstructing compressively sensed images. The system is based on the principles of thresholding and local competition that solves a family of sparse approximation problems corresponding to various sparsity metrics. The system utilizes Locally Competitive Algorithms (LCAs), nodes in a population continually compete with neighboring units using (usually one-way) lateral inhibition to calculate coefficients representing an input in an over complete dictionary.10-30-2008