|| List of recent Wavelet-related patents
| Method of detecting and identifying substances or mixtures and determining their characteristics|
This invention relates to a method of non-contact detection and identification of the type of different substances and mixtures as well as determining their characteristics as concentration, hardness, etc. The method comprises irradiation of the inspected object by a wave pulse or a series of such pulses; reception (1), amplification (2) and analogue-to-digital conversion (3) of the signal, formation of output detailing wavelet coefficients and output approximating wavelet coefficients by means of fast discrete wavelet transformation of the digitized signal, by means of mallat's pyramidal algorithm and orthogonal base functions, filtering (7) of the output approximating and detailing wavelet coefficients up to preselected ones, comparison of the filtered approximating and/or detailing wavelet coefficients, in the capacity of recognition attributes with preselected respective reference coefficients by the classifying device (8), and according to the comparison result the presence and type is determined and/or the studied characteristics of the inspected object is determined..
|Systems and methods for compression transmission and decompression of video codecs|
Embodiments of this invention include computer-implemented mathematical methods to develop software and/or hardware implementations that use wavelet transforms (wt) to pre-process video frames that can then be compressed using a variety of codecs to produce compressed video frames. Such compressed video frames can then be transmitted, decompressed, post-processed using the post-processing methods disclosed in the invention and displayed in their original size and quality using software and/or hardware implementations of embodiments of the invention, thereby producing real-time high-quality reproduction of video sequences.
|Method and device for measuring electromagnetic wave|
A waveform acquiring unit acquires a time waveform of an electromagnetic wave. The time waveform is decomposed into wavelet expansion coefficients by wavelet transform.
|Systems, methods and computer readable storage mediums storing instructions for 3d registration of medical images|
Systems, methods and computer-readable storage mediums relate to processing to segment ultrasound images of an object. The processing may be based on three different planes.
|System and method for polarimetric wavelet fractal detection and imaging|
A system and method for detection of a target object/material includes identifying a polarimetric signal for a plurality of aspect angles. One/two-dimensional mueller matrix image or one/two-dimensional stokes vector image can be processed using power spectral analysis, wavelet and fractal analysis for further image, having increased discrimination with reduced false-ratio.
|Method and system for determining a quality measure for an image using multi-level decomposition of images|
Method and system for determining a measure of quality for images by using multi-level decomposition are presented. Multi-level decomposition of images is performed in the wavelet domain producing subbands at each level of decomposition.
|Method and system for determining a quality measure for an image usinga variable number of multi-level decompositions|
Method and system for determining a measure of quality for images are presented. Multi-level decomposition of images in the wavelet domain using a variable number of levels of decomposition and aggregation of selected subbands is performed to obtain an accurate measure of quality.
|Method and apparatus for single-particle localization using wavelet analysis|
Accurate localization of isolated particles is important in single particle based super-resolution microscopy. It allows the imaging of biological samples with nanometer-scale resolution using a simple fluorescence microscopy setup.
|Low perfusion signal processing systems and methods|
In some embodiments, systems and methods for identifying a low perfusion condition are provided by transforming a signal using a wavelet transform to generate a scalogram. A pulse band and adjacent marker regions in the scalogram are identified.
|Method of analyzing motion blur using double discrete wavelet transform|
A method of processing a motion blurred image from an imaging device to recover a latent sharp image. The method includes capturing a motion blurred image signal through the imaging device, computing a second signal as a two-dimensional wavelet transform of the motion blurred image signal, and using the second signal to perform a first autocorrelation analysis to estimate the blur kernel.
|Wavelet coefficient quantization method using human visual model in image compression|
A wavelet coefficient quantization method using a human visual model in an image compression process is provided, which is particularly suitable for remote sensing image compression. A wavelet-domain visual quantization model is obtained through experiments based on human visual characteristics, so as to reflect the relation between distortion of wavelet coefficient blocks and human visual characteristics.
|Covariance estimation using sparse wavelet representation|
Computing systems and methods are disclosed. In one embodiment, a technique is provided that includes receiving data representing at least in part a structure of interest; and processing the data in a processor-based machine to represent the data as a data structure including a plurality of contiguous data segments and at least one disjoint section, which separates two of the contiguous data segments.
|Systems and methods for ecg monitoring|
A method, system, apparatus and device for processing an ecg signal to remove or reduce noise from the ecg signal attributable to emg and/or motion artifacts. The novel algorithm common to all aspects of the device can include wavelet decomposing an ecg signal to produce a set of approximation coefficients and a plurality of sets of detail coefficients, locally fitting subsets of the set of approximation coefficients to second order polynomials, adjusting the set of approximation coefficients by the locally fitted second order polynomials, setting some of the detail coefficients to zero, and reconstructing an ecg signal with reduced noise based on the modified set of approximation coefficients and the modified plurality of sets of detail coefficients..
|Method for time-lapse wave separation|
A method for processing seismic data acquired using the same seismic survey setup over long periods of time includes acquiring sets of seismic data using the same seismic survey setup over multiple days, the sets being gathered as repeated seismic data. The method further includes estimating a time-variable wavelet corresponding to unwanted waves, and determining a propagation of the time-variable wavelet, which propagation is assumed to be constant in time, by solving an inverse problem using the repeated seismic data and the estimated time-variable wavelet.
|Method and apparatus for using cepstrum and wavelet based algorithms for wall thickness measurement|
New techniques are provided for measuring the thickness of a pipe wall using ultrasonic reflections. The apparatus includes a signal processor that receives a signal containing information about ultrasonic pulses injected into a pipe wall; and determines a pipe wall thickness measurement based at least partly on decomposing the signal received in order to identify either peaks using a cepstrum analysis or repeated spacing using a wavelet analysis.
|Method to detect wafer arcing in semiconductor manufacturing equipment|
Methods and systems for accurate arc detection in semiconductor manufacturing tools are disclosed. Such methods and systems provide real-time arc detection and near real-time notification for corrective actions during a semiconductor manufacturing process.
|Illusion image generating apparatus, medium, image data, illusion image generating method, printing medium manufacturing method, and program|
The present invention obtains subband signals by performing a multiresolution decomposition by a wavelet frame with orientation selectivity or a filterbank with orientation selectivity that is a set of an approximate filter with no orientation and a plurality of detail filters with respective orientations on image data, and, when an image is reconstructed by summing the obtained subband signals, generates reconstructed image data that creates a floating illusion by attenuating or amplifying a subband signal corresponding to at least one of detail filters with a predetermined orientation relative to a floating direction, in which an image is desired to be floated due to an illusion, among the detail filters.. .
|Image processing apparatus and method|
An image processing apparatus and method are disclosed. The apparatus may include: a wavelet transform device for performing wavelet transform on an input image to decompose the input image into a plurality of levels of different scales, each level including a low frequency component and a plurality of high frequency components; a compensation template generating device for generating a compensation template for each level according to the plurality of high frequency components in the level, the compensation template reflecting combination feature of the plurality of high frequency components; a de-noising device for de-noising the low frequency component of each level and performing edge compensation on the low frequency component with the compensation template to acquire a compensated low frequency component; and a wavelet inverse transform device for performing inverse wavelet transform with the compensated low frequency component and the high frequency components of each level to acquire a de-noised image..
|Primary estimation on obc data and deep tow streamer data|
Method for correcting obc or deep-towed seismic streamer data for surface-related multiple reflections. The measured pressure data, preferably after conditioning (71), are simulated using a forward model that includes a water propagation operator between source locations and receiver locations and a term representing primary impulse responses (72).
|Image processing device and image processing method|
There is provided an image processing device including an inverse transform unit that transforms transform coefficient data of a frequency component of an image including one or more blocks into an image signal by executing an integer inverse discrete wavelet transform, wherein an integer transform function used in the integer inverse discrete wavelet transform has a function graph that is symmetrical about an origin as a reference.. .
|Foliage penetration based on 4d lidar datasets|
A method for detecting terrain, through foliage, includes the steps of: receiving point cloud data in a three-dimensional (3d) space from an airborne platform, in which the point cloud data includes foliage that obscures the object; reformatting the point cloud data from the 3d space into a one-dimensional (1d) space to form a 1d signal; and decomposing the 1d signal using a wavelet transform (wt) to form a decomposed wt signal. The decomposed wt signal is reconstructed to form a low-pass filtered profile.
|Angle sensitive pixel (asp)-based image processing system, method, and applications|
An image processing system includes at least two, complementary, angle sensitive pixel (asp) structures, having a spatial frequency domain asp output including a background output and a plurality of asp response outputs, in response to an optical input; an asp response output subtractor component, which functions to suppress the background output and perform a subtraction of at least two of the asp response outputs; and a processing component that can process the subtracted spatial frequency domain asp response outputs. An optical domain image processing method includes the steps of providing at least two, complementary, angle sensitive pixel (asp) structures; obtaining a spatial frequency domain asp output including a plurality of complementary asp response outputs, in response to an optical input; performing a wavelet-like transform of the asp response outputs in the optical domain prior to performing any operation in a digital domain; and obtaining a desired output of the optical input..
|Detecting a signal quality decrease in a measurement system|
Techniques for detecting a signal quality decrease are disclosed. A sensor or probe may be used to obtain a plethysmograph or photoplethysmograph (ppg) signal from a subject.
|Method, apparatus and computer program product for identifying frequency bands, and a method, apparatus and computer program product for evaluating performance|
According to embodiments of the present invention, a method for identifying one or more frequency bands in a received signal. The method comprising: calculating a wavelet product of the received signal; setting a threshold for local maxima of the wavelet product; and detecting one or more edges in the received signal based on local maxima of the wavelet product which are greater than the threshold to identify one or more frequency bands in the received signal.
|Systems and methods for gating an imaging device|
A method and system for automatically gating an imaging device is disclosed. Physiological process information of a patient may be derived from a plethysmographic signal, for example, by analyzing the plethysmographic signal transformed by a continuous wavelet transform.
|Method of monitoring depth of anesthesia and apparatus for same|
A method of monitoring depth of anesthesia comprises generating differential eeg signals from eeg signals acquired by electrode pairs during an anesthesia protocol, processing the differential eeg signals to determine at least one signal feature and monitoring changes in the at least one signal feature to determine depth of anesthesia. The at least one signal feature comprises at least one of normalized power of the differential eeg signals acquired from at least one of the electrode pairs, and wavelet bicoherence between the differential eeg signals acquired from at least two of the electrode pairs..
|Systems and methods for estimating values of a continuous wavelet transform|
According to embodiments, techniques for estimating scalogram energy values in a wedge region of a scalogram are disclosed. A pulse oximetry system including a sensor or probe may be used to receive a photoplethysmograph (ppg) signal from a patient or subject.
|Method for fast wavelet transform of a signal|
Method for determining at least one wavelet coefficient ws(τ) of a wavelet transform of a signal in which the mother wavelet of the transform has a support subdivided into j≧1 intervals bound by (j+1) extremity points, and is defined by a polynomial of a maximum level n≧1 on each interval. The method includes calculating all or some of the primitives of the signal of order k between 2 and n+1, at least at (j+1) points corresponding to extremity points of the intervals of the wavelet support dilated by a factor of s and translated by a time τ; calculating the convolution of said or each primitive sampled in this way with a respective succession of (j+1) coefficients cik(s), dependent upon said wavelet; and determining the wavelet coefficient by calculating a linear combination of convolutions.
Compression of an initial dataset is implemented on a data processing system. The initial dataset can be transformed (210) into a group of initial wavelet coefficients using a wavelet basis function.
|System and method of waveform analysis to identify and characterize power-consuming devices on electrical circuits|
Waveform analysis is performed to identify and characterize power-consuming devices operating on a building electrical circuit. Current waveforms are measured from the building circuit with electrical devices operating thereon.
|Use of machine learning for classification of magneto cardiograms|
The use of machine learning for pattern recognition in magnetocardiography (mcg) that measures magnetic fields emitted by the electrophysiological activity of the heart is disclosed herein. Direct kernel methods are used to separate abnormal mcg heart patterns from normal ones.
|Variable depth streamer srme|
Methods and systems for variable wavelet correction are described. A variable depth dataset is deghosted before presentation to a multiples prediction step of multiples elimination model.
|Methods and apparatus to construct histograms and wavelet synopses for probabilistic data|
A disclosed example method involves generating a plurality of wavelet coefficient quantities. Each wavelet coefficient quantity is generated based on items represented by probabilistic data.
|Compression of electrocardiograph signals|
A generally lossless compression system suitable for compression of data in a real-time, remote monitoring application is disclosed. In one embodiment, the real-time monitoring application is subject to a fixed-delay transmission constraint.
|Video detection system and methods|
A video detection system and method compares a queried video segment to one or more stored video samples. Each of the queried video segments and stored video samples can be represented by respective digital image sets.
|Method and device for measuring a difference in illumination|
A device for detecting a difference in illumination may include at least two adjacent photoelectric sensor element groups on which light falls during an adjustable illumination time, said light being converted to a quantity of electric charge, which corresponds to the quantity of light falling on each sensor element group during the illumination time, and having a detector, which detects a minimum charge of the charge quantities generated by both photoelectric sensor element groups and subtracts said minimum charge from both photoelectric sensor element groups. The device can be used in a variety of applications, e.g., for digital cameras and medical devices.
|Asymmetric wavelet kernel in support vector learning|
Example methods of modeling a nonlinear dynamical system such as a vehicle engine include providing a model using linear programming support vector regression (lp-svr) having an asymmetric wavelet kernel, such as derived from a raised-cosine wavelet function. The model may be trained to determine parallel model parameters while in a series-parallel configuration, and operated in the parallel configuration allowing improved and more flexible model performance.
|Structure and method for thermal treatment with epitaxial sicp thermal stability improvement|
The present disclosure provides a method for making an integrated circuit in one embodiment. The method includes providing a semiconductor substrate having an active region and a first gate stack disposed on the semiconductor substrate in the active region; forming in-situ phosphorous-doped silicon carbide (sicp) features on the semiconductor substrate and disposed on sides of the first gate stack; replacing the first gate stack with a second gate stack having a high k dielectric material layer; and thereafter performing a millisecond annealing (msa) process with a thermal profile having a first thermal wavelet and a second thermal wavelet..
|System and method for rapid oct image acquisition using compressive sampling|
A method for rapid oct image acquisition includes acquiring by oct a plurality of compressive measurements (y) representing a set of under-sampled oct data in a dirac domain below a nyquist rate by sampling an object of interest at randomly spaced vertical and horizontal lines in a cartesian geometry using a raster scan, and recovering a 3d volumetric oct image (f) from the compressive measurements (y) using compressive sampling. The method may also include recovering the 3d volumetric oct image (f) from the compressive measurements (y) based at least in part on a sparsifying matrix (s) capable of transforming the 3d volumetric oct image (f) into a sparse representation, such as a matrix representation of the 3d volumetric oct image (f) in a shift-invariant wavelet transform domain.
|Electrical submersible pump monitoring and failure prediction|
Current supplied to electrical submersible pumps in wells is monitored, and signal processing based on wavelet analysis and phase diagram analysis is performed on the data obtained from monitoring. An incipient malfunction of the electrical submersible pump, such as one due to scale build-up in and around the pump, can be detected at an early stage..