3427 results about "Wavelet transform" patented technology

The present invention relates to advanced signal processing methods including digital wavelet transformation to analyze heart-related electronic signals and extract features that can accurately identify various states of the cardiovascular system. The invention may be utilized to estimate the extent of blood volume loss, distinguish blood volume loss from physiological activities associated with exercise, and predict the presence and extent of cardiovascular disease in general.

When pulse waveform MH is detected by pulse wave detection sensor unit 130, wavelet transformer 10 performs wavelet transformation on pulse waveform MH and generates analyzed pulse wave data MKD. This analyzed pulse wave data MKD consists of a time region in which one heartbeat is divided into eighths, and the frequency region of 0-4 Hz which has been divided into eighths. Frequency corrector 11 generates corrected pulse wave data MKD' by performing frequency correction on analyzed pulse wave data MKD. Pulse type data generator 12 compares corrected pulse wave data MKD' over each frequency-time region, and generates pulse type data ZD indicating the type of pulse. Display 13 displays the pulse type for pulse waveform MH based on pulse type data ZD.

A receiver in a wireless communication system comprises a reverse transform configured to produce a vector of baseband signal values, and a projection canceller configured to project the vector of baseband signal values onto at least one subspace that is substantially orthogonal to an interference subspace. The reverse transform may be adjoint to a forward transform employed by at least one transmitter in the wireless communication system. The combination of interference cancellation with one or more receiver operations may be a substantially adjoint operation relative to one or more transmitter operators and channel-propagation effects. The reverse transform may include a Fourier transform, a wavelet transform, or any other well known invertible transforms. Reverse transforms may include spread-spectrum multiple-access coding and may be implemented in systems configured to perform single-input, multiple output or multiple-input, multiple-output operations. Interference components may be selected in a projection canceller relative to predetermined ratios of interference in the received signal.

Disclosed are novel embodiments of a speech synthesizer and speech synthesis method for generating human-like speech wherein a speech signal can be generated by concatenation from phonemes stored in a phoneme database. Wavelet transforms and interpolation between frames can be employed to effect smooth morphological fusion of adjacent phonemes in the output signal. The phonemes may have one prosody or set of prosody characteristics and one or more alternative prosodies may be created by applying prosody modification parameters to the phonemes from a differential prosody database. Preferred embodiments can provide fast, resource-efficient speech synthesis with an appealing musical or rhythmic output in a desired prosody style such as reportorial or human interest. The invention includes computer-determining a suitable prosody to apply to a portion of the text by reference to the determined semantic meaning of another portion of the text and applying the detennined prosody to the text by modification of the digitized phonemes. In this manner, prosodization can effectively be automated.

A method for compressing 2D images includes determining a depth map for each of a plurality of sequential 2D images of a 3D volumetric image, determining coordinate transformations the 2D images based on the depth maps and a geometric relationship between the 3D volumetric image and each of the 2D image, performing a lifting-based view compensated wavelet transform on the 2D images using the coordinate transformations to generate a plurality of wavelet coefficients and compressing the wavelet coefficients and depth maps to generate a compressed representation of the 2D images.

Methods of imaging objects based on wavelet retrieval of scenes utilize wavelet transformation of plural defined regions of a query image. By increasing the granularity of the query image to greater than one region, accurate feature vectors are obtained that allow for robust extraction of corresponding regions from a database of target images. The methods further include the use of sliding windows to decompose the query and target images into regions, and the clustering of the regions utilizing a novel similarity metric that ensures robust image matching in low response times.

A depolarization waveform classifier based on the Modified lifting line wavelet Transform is described. Overcomes problems in existing rate-based event classifiers. A task for pacemaker / defibrillators is the accurate identification of rhythm categories so correct electrotherapy can be administered. Because some rhythms cause rapid dangerous drop in cardiac output, it's desirable to categorize depolarization waveforms on a beat-to-beat basis to accomplish rhythm classification as rapidly as possible. Although rate based methods of event categorization have served well in implanted devices, these methods suffer in sensitivity and specificity when atrial / ventricular rates are similar. Human experts differentiate rhythms by morphological features of strip chart electrocardiograms. The wavelet transform approximates human expert analysis function because it correlates distinct morphological features at multiple scales. The accuracy of implanted rhythm determination can then be improved by using human-appreciable time domain features enhanced by time scale decomposition of depolarization waveforms.

A technique is provided for processing a physiological signal to compensate for artifacts. The technique includes identifying artifacts within the physiological signal. The technique also includes performing one or more multi-resolution decompositions, such as wavelet transformations, on the physiological signal and compensating for the identified artifacts in some or all of the respective decomposition components. The modified decomposition components may be reconstructed to generate an artifact-compensated signal which may be provided to a monitor or other device which is otherwise not configured to compensate for signal artifacts.

A technique is provided for processing a physiological signal to compensate for artifacts. The technique includes identifying artifacts within the physiological signal. The technique also includes performing one or more multi-resolution decompositions, such as wavelet transformations, on the physiological signal and compensating for the identified artifacts in some or all of the respective decomposition components. The modified decomposition components may be reconstructed to generate an artifact-compensated signal which may be provided to a monitor or other device which is otherwise not configured to compensate for signal artifacts.

Fingerprint recognition and matching systems and methods are described that utilize features at all three fingerprint friction ridge detail levels, i.e., Level 1, Level 2 and Level 3, extracted from 1000 ppi fingerprint scans. Level 3 features, including but not limited to pore and ridge contour characteristics, were automatically extracted using various filters (e.g., Gabor filters, edge detector filters, and / or the like) and transforms (e.g., wavelet transforms) and were locally matched using various algorithms (e.g., the iterative closest point (ICP) algorithm). Because Level 3 features carry significant discriminatory and complementary information, there was a relative reduction of 20% in the equal error rate (EER) of the matching system when Level 3 features were employed in combination with Level 1 and Level 2 features, which were also automatically extracted. This significant performance gain was consistently observed across various quality fingerprint images.

A system and method that uses a non-invasive method, such as a wearable module equipped with sensors placed on a subject connected to a computer-linked module, to monitor life signs like heartbeat waveforms and body temperatures. Life signs indicate the health of a living being or a dynamic system (a mechanical system containing moving parts, like motors). The health of the system is defined by a set of known good spectra (such as its frequency / wavelet transform spectrum), with deviations triggering alerts. A garment embedded with a piezoelectric material and an electronic temperature sensor, when placed in contact with the body, captures acoustic waves from the heart and body temperature. Both sensors are connected to a garment-mounted module with an embedded flexible printed antenna (WEM). A separate WEM with reconfigured daughterboard software forms a bidirectional wireless data connection to a computer. A software program compares the received spectrum to its database spectrum and alerts the user when deviation is determined by a set of rules.

An encoder reorders quantized wavelet coefficients to cluster large and small wavelet coefficients into separate groups without requiring the use of data-dependent data structures. The coefficients are then adaptively encoded based on a run-length code which continuously modifies a parameter that controls the codewords uses to represent strings of quantized coefficients, seeking to minimize the number of bits spent in the codewords. A matrix of indices contains the coarsest coefficients in the upper left corner, and filling in low high and high low sub bands in larger and larger blocks in an alternating manner, such that low high sub bands comprise the top of the matrix and the high low sub bands comprise the left side of the matrix. The shortest codewords are assigned to represent a run of the most likely character having length of 2k, where k is a parameter. k is adjusted based on successive characters being encountered. k is increased when the character is the same, and decreased when the character is different. A decoder applies the above in reverse order. Decoding of the encoded coefficients is first performed, followed by an unshuffling of the coefficients. The unshuffled coefficients are then subjected to an inverse wavelet transform to recover the transformed and compressed data, such as image pixels.

Digital watermarking of digital audio is performed by Fourier transforming digital audio data, wavelet transforming the magnitude components of the Fourier transform coefficients of the digital audio data, discrete cosine transforming a watermark signal, multiplying the sign of the wavelet transform coefficients of the magnitude components to the coefficients of the discrete cosine transformed watermark signal, adding the coefficients of the Fourier transformed digital audio data and the adjusted discrete cosine transformed watermark signal, and inverse wavelet transforming the audio signal's coefficients before inverse Fourier transformation to finally generate watermark-embedded audio signal data.

Techniques for determining a feature in an image or soundtrack of one or more dimensions include receiving a subject image. A sparse transformed subject image is determined, which represents the subject image with a few significant coefficients compared to a number of values in the subject image. Multiple patch functions are received, which are based on a portion of a sparse transformed image for each of a training set of images and which represent learned features in the training set. A feature is determined to be in the subject image based on the transformed subject image and the plurality of patch functions. In various embodiments, a wavelet transformation or audio spectrogram is performed to produce the sparse transformed images. In some embodiments, the feature in the subject is determined regardless of feature location or size or orientation in the subject image.

Methods and apparatus are provided for discriminating high rate polymorphic QRS complexes from high rate monomorphic QRS complexes to increase the specificity of detection of polymorphic VT and VF employing wavelet transform signal processing of the QRS complexes are disclosed. Wavelet transforms are applied to the sampled amplitude values of a sequence of QRS complexes to develop wavelet transform coefficient (WTC) data sets. At least selected ones of the WTC data sets are processed and comparisons are made to determine a wavelet match score. A determination is made as a function of the wavelet match scores of the series of successive QRS complexes that characterizes the most recent QRS complex as more or less likely to signify polymorphic VT or VF.

The invention discloses a JPEG2000 self-adapting rate control system and a method based on pre-assignment of code rate, mainly solving the problem of large calculation amount and large memory size of JPEG2000 encoding method. The code block of the original image after pretreatment, wavelet transformation and quantification is output by two lines, one line directly enters the bit plane and MQ coder; for the other line, the entropy of each code block is estimated by the entropy estimate module, sent to the code rate assignment module to assign code rate, and the code rate of each code block is feed back to the bit plane and MQ coder through the encoding depth control module, after the code blocks are encoded by the bit plane, further feed back to the encoding depth control module to determine the output code stream of each encoded code block, and the output code stream is under optimal interception and code stream organization to output the ultimate code stream. At the same time, the invention can change the threshold value of the encoding depth control coefficient as required, to flexibly control the encoding depth in order to improve the image compression quality. The invention has the advantages of low complexity and easiness for hardware implementation, and is suitable for various JPEG2000 image real-time compression systems.

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. A first and second comparison comprises comparing a set of low and high resolution temporal and spatial statistical moments in a COLOR9 space, and eliminating file digital image sets that do not match the queried digital image set. A third comparison generates a set of matching files by comparing a set of wavelet transform coefficients in a COLOR9 space. RGB bit-wise registration and comparison of one or more subframes of specific frames in the queried digital image set to a corresponding set of matching file subframes determines queried subframe changes. In the event of a change in a queried subframe, the changed subframe is added to the set of matching file subframes.

A wavelet transform unit performs a wavelet transform on original images and a quantization unit quantizes wavelet transform coefficients. A ROI selector selects a region of interest or regions of interest in the original image, and a ROI mask generator generates ROI masks with which the wavelet transform coefficients (which are also called ROI transform coefficients) corresponding to the regions of interest are specified. By referring to the ROI masks, a lower-bit zero substitution unit substitutes low-order bits of non-ROI transform coefficients with zeros. An entropy coding unit entropy-codes the wavelet transform coefficients sequentially from high-order bit-planes, after the substitution. A coded data generator turns coded data into streams together with parameters and then outputs coded images.

A method and apparatus for performing compression and / or decompression is described. In one embodiment, the present invention comprises a system having a buffer, a wavelet transform unit, and a coder. The wavelet transform unit has an input coupled to the buffer to perform a wavelet transform on pixels stored therein and to generate coefficients at an output. The coder is coupled to the wavelet transform unit to code the transformed pixels received from the buffer.

A method for segmenting a color document into regions of text and halftone discriminates between text and halftone by examining the texture of the document. A color document is digitized, and a color space transform is preferably applied to the digitized document. The texture of the document is identified and a noise reduction step is preferably applied. Bounding boxes (blocks) within the document are identified and then the areas within the bounding boxes are classified as either text or halftone. Two alternative methods are described for examining the document texture. In the first method, a windowing operation is applied to either an intensity image or a color difference image. In the second method, a wavelet transform step combined with Fuzzy K-Mean clustering is applied. Bounding boxes are classified as either text or halftone based upon the relative periodicity of a horizontal or vertical (or both) histogram of each bounding box.

The invention relates to a multiple-template matching identity recognition method based on an ECG (Electrocardiogram) under an electrocardiogram abnormality state, and belongs to the technical field of biological characteristic identity recognition. The ECG data of a user to be recognized is compared with the data of a registered user in a template library to obtain an identity recognition result. The key technology of the method comprises the following steps: carrying out electrocardiosignal preprocessing for eliminating noise interference; carrying out electrocardiosignal decomposition to separate an electrocardiogram waveform of each period; carrying out standardized processing for independently achieving standardization on time and amplitude scales; carrying out characteristic extraction: in the step, characteristics are extracted by wavelet transform, and clustering analysis is carried out by an ISODATA (Iterative Self-organizing Data Analysis Techniques Algorithm) so as to construct an ECC template library; and carrying out correlation analysis: in the step, correlation between ECG test data and each template is calculated, an optimal matching template is selected, and finally, an identity recognition result is obtained. The multiple-template matching identity recognition method provided by the invention utilizes the intrinsic electrocardiosignal of a human body to recognize an identity, and the ECG data under the abnormality state is considered.

The detection of combustion anomalies within a gas turbine engine is provided. A sensor associated with a combustor of the engine measures a signal that is representative of combustion conditions. A sampled dynamic signal is divided into time segments to derive a plurality of data points. The sampled dynamic signal is transformed to a form that enables detection of whether the sensed combustion conditions within the combustor are indicative of any combustion anomalies of interest. A wavelet transform is performed to calculate wavelet coefficients for the data points and at least one region of interest is targeted. The amplitude of each wavelet coefficient within each targeted region is normalized by a baseline signal. The normalized amplitudes of the wavelet coefficients are used to determine whether any combustion anomalies have occurred by comparing the normalized amplitudes of the wavelet coefficients within each target region to a predetermined threshold amplitude.

The present invention relates to an encoding apparatus, an encoding method, an encoding program, a decoding apparatus, a decoding method and a decoding program for adaptively controlling an encoding bit rate. Coefficient data obtained using wavelet transform is quantized, and segmented into bit planes. The coefficient data is entropy encoded from the bit plane of the MSB in a direction from an upper bit position to a lower bit position. Entropy encoding is stopped at a bit position where an amount of code has reached a target amount. On the bit plane, the coefficient data is entropy encoded from a lower frequency region to a higher frequency region. Data greatly affecting subjective image quality of a decoded image is selectively output while the amount of code is easily controlled.

The invention relates to a face recognition method based on Gabor wavelet transform and local binary pattern (LBP) optimization. Two-dimensional Gabor wavelet transform can associate pixels of adjacent areas so as to reflect the change conditions of image pixel gray values in a local range from different frequency scales and directions. The feature extraction and the classification recognition are carried out on the basis of a face image two-dimensional Gabor wavelet transform coefficient. For a high-dimensional Gabor wavelet transform coefficient, overall histogram features are extracted by adopting the LBP, and then the image is blocked by utilizing priori knowledge to extract the features of each piece of LBP local histogram. The method has better recognition rate, better robustness to illumination and wide using prospect in the fields of biometric recognition and public security monitoring.

The present invention relates to a method of signal processing of electrograms for use in medical devices, preferably by time-frequency transforms. The present invention additionally relates to a system for receiving and analyzing such signals. The present invention preferably is a method utilizing the time-frequency transforms, such as wavelet transforms, for the purpose of artifact removal from EGs. These transforms decompose a signal in both time and frequency domains, and therefore, are well suited for non-stationary signal analysis. As a result, dissimilar signal features are well localized both in time and frequency, which potentially provides a good separation between the signal of interest and artifacts. This particularly applies to large-amplitude artifacts corrupting EGs.

One system to identify the multi-mode biologic characteristic status bases on iris and person face. The biology character collection unit gathers pictures of iris and person face by two absolute gather channels and its collection sustaining flat roof makes users with different stature to input iris and person face pictures freely and cozily. The biology character identify unit uses picture disposing and Wavelet transform technology to get character template and to calculate the matching percent of iris characteristic template and mesh degree of person face character template, and get the final identify result by data fusion method. The biology character data bank storage the final inborn character template and congruence iris character template on person face character template to keep the privacy of biology character data and to increase the security of system. It combines biology character, mode identification, data amalgamation and computer technology to identify people figure with low error rate for iris identify and person face identify.

A method and apparatus for performing compression and / or decompression is described. In one embodiment, the present invention comprises a system having a buffer, a wavelet transform unit, and a coder. The wavelet transform unit has an input coupled to the buffer to perform a wavelet transform on pixels stored therein and to generate coefficients at an output. The coder is coupled to the wavelet transform unit to code the transformed pixels received from the buffer.

The detection of combustion anomalies within a gas turbine engine is provided. A sensor associated with a combustor of the engine measures a signal that is representative of combustion conditions. A sampled dynamic signal is divided into time segments to derive a plurality of data points. The sampled dynamic signal is transformed to a form that enables detection of whether the sensed combustion conditions within the combustor are indicative of any combustion anomalies of interest. A wavelet transform is performed to calculate wavelet coefficients for the data points and at least one region of interest is targeted. The amplitude of each wavelet coefficient within each targeted region is normalized by a baseline signal. The normalized amplitudes of the wavelet coefficients are used to determine whether any combustion anomalies have occurred by comparing the normalized amplitudes of the wavelet coefficients within each target region to a predetermined threshold amplitude.