TY - JOUR. T1 - Blind source separation methods for deconvolution of complex signals in cancer biology. AU - Zinovyev, Andrei. AU - Kairov, Ulykbek. AU - Karpenyuk, Tatyana. AU - Ramanculov, Erlan. PY - 2013/1/18. Y1 - 2013/1/18. N2 - Two blind source separation methods (Independent Component Analysis and Non-negative Matrix Factorization), developed initially for signal processing in engineering, found recently a number of applications in analysis of large-scale data in molecular biology. In this short review, we present the common idea behind these methods, describe ways of implementing and applying them and point out to the advantages compared to more traditional statistical approaches. We focus more specifically on the analysis of gene expression in cancer. The review is finalized by listing available software implementations for the methods described.. AB - Two blind source separation methods (Independent Component Analysis and Non-negative Matrix Factorization), developed initially for ...
We address the problem of blind source separation of non-stationary signals of which only instantaneous linear mixtures are observed. A blind source separation approach exploiting both auto-terms and cross-terms of the time-frequency (TF) distributions of the sources is considered. The approach is b.... Full description. ...
Over the last few years, the development of multi-channel sensors motivated interest in methods for the coherent processing of multivariate data. Some specific issues have already been addressed as testified by the wide literature on the so-called blind source separation (BSS) problem. In this context, as clearly emphasized by previous work, it is fundamental that the sources to be retrieved present some quantitatively measurable diversity. Recently, sparsity and morphological diversity have emerged as a novel and effective source of diversity for BSS. We give here some essential insights into the use of sparsity in source separation and we outline the essential role of morphological diversity as being a source of diversity or contrast between the sources. This paper overviews a sparsity-based BSS method coined Generalized Morphological Component Analysis (GMCA) that takes advantages of both morphological diversity and sparsity, using recent sparse overcomplete or redundant signal representations. GMCA
A method and apparatus for the application of Blind Source Separation (BSS), specifically independent Component Analysis (ICA) to mixture signals obtained by a pulse oximeter sensor. In pulse oximetry, the signals measured at different wavelengths represent the mixture signals, while the plethysmographic signal, motion artifact, respiratory artifact and instrumental noise represent the source components. The BSS is carried out by a two-step method including an ICA. In the first step, the method uses Principal Component Analysis (PCA) as a preprocessing step, and the Principal Components are then used to derive sat and the Independent Components, where the Independent Components are determined in a second step. In one embodiment, the independent components are obtained by high-order decorrelation of the principal components, achieved by maximizing the sum of the squares of the higher-order cumulants of the plurality of mixture signals.
Field programmable gate arrays (FPGAs) represent the currently the most popular and also the newest media for designing application specific integrated digital circuits. They contain an array of a large number of programmable sequential and combinational logic elements (called gates, logic blocks or look up tables). The array of such logic blocks, literally a sea of them, is distributed across a digital chip through interconnections that are programmable. This array is surrounded by a programmable input/output blocks ...
In this paper, we introduce a simple and effective scheme to achieve joint blind source separation (BSS) of multiple datasets using multiset canonical corr
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Abstract-This paper deals with distributed demodulation of space-time transmissions of a common message from a multiantenna access point (AP) to a wireless sensor network. Based on local message exchanges with single-hop neighboring sensors, two algorithms are developed for distributed demodulation. In the first algorithm, sensors consent on the estimated symbols. By relaxing the finite-alphabet constraints on the symbols, the demodulation task is formulated as a distributed convex optimization problem that is solved iteratively using the method of multipliers. Distributed versions of the centralized zero-forcing (ZF) and minimum mean-square error (MMSE) demodulators follow as special cases. In the second algorithm, sensors iteratively reach consensus on the average (cross-) covariances of locally available per-sensor data vectors with the corresponding AP-tosensor channel matrices, which constitute sufficient statistics for
TY - JOUR. T1 - Linear multivariate models for physiological signal analysis. T2 - Applications. AU - Korhonen, Ilkka. AU - Mainardi, Luca. AU - Baselli, Guiseppe. AU - Bianchi, Anna. AU - Loula, Pekka. AU - Garrault, Guy. N1 - Project code: TTE3312. PY - 1996. Y1 - 1996. N2 - Some applications of linear multivariate modelling methods in the analysis of physiological signals are presented. These applications illustrate the methods in the analysis of cardiovascular dynamics, which has been one of the main application fields of the multivariate modelling during the last ten years. It is demonstrated that physiologically meaningful information about the causal interactions in the cardiovascular system can be drawn from the routinely available clinical signals. Both static and dynamic conditions are considered.. AB - Some applications of linear multivariate modelling methods in the analysis of physiological signals are presented. These applications illustrate the methods in the analysis of ...
A novel optical frequency-domain imaging system is demonstrated that employs a passive optical demodulation circuit and a chirped digital acquisition clock derived from a voltage-controlled oscillator. The demodulation circuit allows the separation of signals from positive and negative depths to better than 50 dB, thereby eliminating depth degeneracy and doubling the imaging depth range. Our system design is compatible with dual-balanced and polarization-diverse detection, important techniques in the practical biomedical application of optical frequency-domain imaging.. © 2006 Optical Society of America. Full Article , PDF Article ...
Glass Bottles and Jars - In the 1993 Plan Amendment, this material was referred to as Glass Containers, and the intent was that meant Glass Bottles and Jars. The phrase Bottles and Jars has been added to clarify the intent. For example, drinking glasses and Pyrex® containers are not included in this material. Otherwise, there is no change to the source separation requirement for Glass Bottles and Jars. It continues to be mandatory for all generators to source separate and recycle this material. Steel Cans - In the 1993 Plan Amendment, this material was referred to as Ferrous Containers. It is now felt that a more recognizable term to describe this material is Steel Cans. Otherwise, there is no change to the source separation requirement for Steel Cans. It continues to be mandatory for all generators to source separate and recycle this material. Leaves - In the 1993 Plan Amendment, this material was referred to as Yard Waste. Leaves has been included as a separate item, in lieu of the ...
A variable attenuation signal acquisition probing system and voltage measurement system uses an optical cavity to acquire a signal under test. The probing system has an optical transmitter and receiver that are coupled to the optical cavity via an optical transmission system. The optical cavity has an electrode structure having apertures formed in the optical cavity that are parallel to propagation path of the optical signal within the cavity. A modulated optical signal is generated by the optical cavity in response to the signal under test creating an electromagnetic field distribution in electro-optic material in the optical cavity that overlaps the optical path of the optical signal propagating in the optical cavity which varies the index of refraction of electro-optic material in the optical path. Changes in the polarization state of the optical signal attenuates the magnitude of the output electrical signal of the optical receiver.
Signal Analysis Shareware and Freeware Programs - Digital Signal Analysis (digital-signal-analysis.googlecode.com), Blue Cats Digital Peak Meter Pro x64 (Blue Cat Audio), Blue Cats Digital Peak Meter Pro for Mac OS X (Blue Cat Audio) ...
Bibliographic details on The Removal of EOG Artifacts From EEG Signals Using Independent Component Analysis and Multivariate Empirical Mode Decomposition.
The present invention relates to blind source separation. More specifically certain embodiments relate to the blind source separation using frequency domain processes. Aspects of the invention relate to methods and systems for receiving a set of frequency-domain first signals, and then separating the set of frequency-domain first signals into a set of frequency-domain second signals. The frequency-domain second signals may have a set of separated frequency-domain second signal elements corresponding to individual frequencies wherein each frequency-domain second signal element is assigned an identifier. The identifier may indicate which of the set of frequency-domain second signals includes the frequency-domain second signal element. Some aspects also include reordering the identifiers corresponding to at least one frequency to improve coherence of the frequency-domain second signals and to produce a set of frequency-domain third signals.
... Ideal for Radar/EW Design and Spectrum Management, New Solutions Combines 800 MHz Real-Time Bandwidth with 2-hours of Streaming Storage _____ BEAVERTON, Ore., Nov 29, 2016 - Tektronix, Inc., a leading worldwide provider of test, measurement and monitoring instrumentation, today announced the RSA7100A wideband signal analysis solution that combines 800 MHz of real-time bandwidth with up to 2 hours of streaming storage at full bandwidth in one solution. The new instruments 16 kHz to 26.5 GHz frequency range covers . . .
This seminar is organized by Drs. Cao and Lou. If you have questions about this seminar please contact Dr. Yan Cao. The members include both graduate and undergraduate students. Each week one of the students presents a paper in the field of image and signal analysis of his/her interest. The chosen paper will be announced prior to the meeting. The goal of the journal club is to introduce graduate and undergraduate students to image and signal analysis research and create an open venue for friendly but lively scientific discussion.. In Spring 2020, the journal club meets on Tuesdays at 12-12:50pm in CB3 1.314.. In Fall 2019, the journal club meets on Thursdays at 10-10:50am in GR4.208.. Fall 2018-Spring 2019 Archive. Fall 2017 - Spring 2018 Archive. Fall 2016 - Spring 2017 Archive. ...
A field programmable gate array has a plurality of programmable resources addressable per respective x and y dimensions of an x,y two dimensional array. A memory device provides a plurality of memory units that store configuration data for configuring associated programmable resources of the field programmable gate array. A controller addresses the memory device with an N-bit address for retrieving given configuration data. An address decoder and sequencer divides the N-bit address into first, second, and third portions and employs the first and third portions interchangeably, in accordance with the second portion, for addressing respective x and y dimensions of the plurality of programmable resources for selecting an associated programmable resource to be configured in accordance with the retrieved configuration data.
Electroencephalographic (EEG) oscillations predominantly appear with periods between 1 s (1 Hz) and 20 ms (50 Hz), and are subdivided into distinct frequency bands which appear to correspond to distin
© Institute of Mathematical Statistics, 2018. We provide a new methodology for statistical recovery of single linear mixtures of piecewise constant signals (sources) with unknown mixing weights and change points in a multiscale fashion. We show exact recovery within an ε-neighborhood of the mixture when the sources take only values in a known finite alphabet. Based on this we provide the SLAM (Separates Linear Alphabet Mixtures) estimators for the mixing weights and sources. For Gaussian error, we obtain uniform confidence sets and optimal rates (up to log-factors) for all quantities. SLAM is efficiently computed as a nonconvex optimization problem by a dynamic program tailored to the finite alphabet assumption. Its performance is investigated in a simulation study. Finally, it is applied to assign copy-number aberrations from genetic sequencing data to different clones and to estimate their proportions.
In this paper, we investigate the self-adaptive source separation problem for convolutively mixed signals. The proposed approach uses a recurrent structure
Disclosed is a demodulation apparatus for receiving signals by an adaptive modulation and coding method, and demodulating the signals, in an OFDMA based packet communication system, comprising: a QAM
Epilepsy is a serious neurological disorder which disturbs the common activities of a human brain. It is detected with the help of electroencephalogram (EEG) recording of the brain as it covers detailed information related to the different physiological states of the brain. A novel method based on empirical mode decomposition (EMD) with amplitude and frequency based parameters is presented in this paper to classify the seizure activity from an EEG signal. A well-known dataset consisting of EEG signals of healthy volunteers and epileptic patients, under different stages, has been used in this study. EMD has been employed for the decomposition of an EEG signal into a set of intrinsic mode functions (IMFs). First four IMFs have been considered in this work. Two amplitude based parameters and one frequency based parameter have been extracted from each of the four IMFs. The validation of the extracted parameters of all IMFs has been carried out by Kruskal-Wallis statistical test and box plot method. ...
This paper aim to generate and take Action potential signal (AP) then converts it to digital signal based on one bit Sigma-Delta converter (∑-∆) to produce a 1-bit stream represent this signal with resolution of 10 bit. This data has been stored in proposed memory created in electronic device called Field Programmable Gate Array (FPGA) by which also the proposed converter had been designed and implemented practically. Finally, the obtained results analyzed and compared with other converter techniques to show the difference in the results and performance ...
Abstract:The maximum community speed was 144 µm/sec, and the maximum individual burst velocity was 407 µm/sec. P.882 left column bottom paragraph:In the swarm, at an average speed of 144µm/sec, the time [signal-processing time] is about 0.048 s. The maximum available processing time for the highest observed burst speed (407µm/sec) is 0.006 s. From this, [investigators] propose that signal-processing times are less than 0.1 s for some marine bacteria ...
The local polynomial approximation of time-varying phase is used in order to estimate the instantaneous frequency and its derivatives for a complex-valued harmonic signal given by discrete-time observations with a noise. The considered estimators are high-order nonparametric generalizations of the short-time Fourier transform and the Wigner-Ville distribution. The asymptotic variance and bias of the estimates are obtained. © 1997 IEEE ...
0102] Image processor 830 is configured to receive image frames from sensor 820 (and other data gathering devices, such as trajectory sensors or the like) and perform image processing, as discussed herein. Image processor 830 may include hardware, such as Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs), digital signal processors (DSPs), or other integrated formats. However, those skilled in the art will recognize that processor 830 may, in whole or in part, be equivalently implemented in integrated circuits, as one or more computer programs having computer-executable instructions or code running on one or more computers (e.g., as one or more programs running on one or more computer systems), as one or more programs running on one or more processors (e.g., as one or more programs running on one or more microprocessors), as firmware, or as any combination thereof, and that designing the circuitry and/or writing the code for the software and/or firmware ...
download measurement and examination; influence; it onto the date with your instance. 3 concerning bodies to the download measurement while drilling legamus. not, do the download measurement while drilling mwd signal analysis optimization and be the F4 grief to confer its disadvantages.
Methods and devices for reducing noise effects in a system for measuring a physiological parameter, including receiving an input signal; obtaining an assessment of the signal quality of the input sign
An image scanner for microscopic objects. The image scanner has a microscope with a high precision computer controlled motor driven stage to provide X,Y plane displacements in order to scan microscopic objects under the microscope. There is an image sensor and a digitizer in association with the microscope to sense a horizontal image line or a two dimensional image and provide a digital representation of the line or image. A digital signal processor processes digitized signals from the sensor. There is a computer to control the mechanical and electronic scanning and to store and display information from the digital signal processor. Methods of scanning a microscopic object are also described. The methods comprise positioning the object on a motorized stage of a microscope having an image sensor in a focal plane. The object is scanned and signals received from the sensor during scanning are digitized. The digitized signals are processed with a digital signal processor in order to automatically recognize
This review provides an introduction to the use of parametric modelling techniques for time series analysis, and in particular the application of autoregressive modelling to the analysis of physiological signals such as the human electroencephalogram. The concept of signal stationarity is considered and, in the light of this, both adaptive models, and non-adaptive models employing fixed or adaptive segmentation, are discussed. For non-adaptive autoregressive models, the Yule-Walker equations are derived and the popular Levinson-Durbin and Burg algorithms are introduced. The interpretation of an autoregressive model as a recursive digital filter and its use in spectral estimation are considered, and the important issues of model stability and model complexity are discussed.
Cray has turned to a small start-up for possible help with its grand plan to win a multi-million dollar contract from the US government.. Cray this week announced that it will use a specialized coprocessor from DRC to slot into its Opteron-based systems. The DRC product - an FPGA (field programmable gate array) module - will allow Crays supercomputers to churn through specific workloads such as algorithms and subroutines at a much quicker pace than standard Opteron chips alone. Cray plans to use FPGA-ready servers as one piece of its "Cascade" project that is competing with rival projects from Sun Microsystems and IBM for a piece of a $200m DARPA contract.. Cray has been going the FPGA route for quite awhile, and, in fact, purchased OctigaBay in 2004 to boost these efforts. The OctigaBay gear was turned into the XD1 systems, which can have up to 144 Opteron chips. Each XD1 chassis can currently hold up to six Xilinx Virtex-4 FPGAs.. Now, however, customers will use the DRC FPGA modules in ...
A field programmable gate array (FPGA) implementation of the Gabor-type filter is presented. The implementation uses the forward Euler approximation with optimal step size to solve the CNN cell-state equation. The FPGA is ...
... Accelerates Productivity and Increases System Performance: �Xilinx, Inc. (NASDAQ: XLNX) today announced its solution for designs using the Virtex®-7 field programmable gate array (FPGA) integrated block for PCI Express® x8 Gen3 with DDR3 external memory, providing developers with all the building blocks needed to get started on PCI Express Gen3-based designs immediately. The Xilinx® integrated blocks for the PCI …
Progeniq has announced a Universal version of its BioBoost Accelerated HMMer application for Mac OS X, which provides hardware accelerated processing for Hidden Markov models (HMMs) -- generally used for protein and DNA sequence analysis. The new release uses Field Programmable Gate Array (FPGA) tec
Physiological signals such as the electrocardiogram (ECG) and arterial blood pressure (ABP) in the intensive care unit (ICU) are often severely corrupted by noise, artifact and missing data, which lead to large errors in the estimation of the heart r
Something called the fast Fourier transform is running on your cell phone right now. The FFT, as it is known, is a signal-processing algorithm that you use more than you realize. It is, according to the title of one research ...
COURSE PREREQUISITES OF LIMITATIONS: Undergraduate courses in physiology, biomechanics and anatomy or permission by the instructor. CLASS MEETING: One 75 minute period twice a week COURSE DESCRIPTION AND OBJECTIVES: An introduction to the theoretical framework, experimental techniques for analog data acquisition and reduction employed in Exercise Science Research. Emphasis will be given to the EMG signal analysis and understanding. Amongst other instruments, the student will become familiar with the use of electromyographs, force platforms, and electromyographs, force platforms, and electrogoniometers. Lectures plus laboratory work on selected topics will be included. The course will be divided in the following 3 modules aiming at: (1) Basic understanding of the analog signal processing, (2) Electromyography (Physiological characteristics of the EMG signal), and (3) EMG signal software and hardware techniques (Experimental-considerations). INSTRUCTOR: Vassilios G. Vardaxis, Department of ...
Publikations-Datenbank der Fraunhofer Wissenschaftler und Institute: Aufsätze, Studien, Forschungsberichte, Konferenzbeiträge, Tagungsbände, Patente und Gebrauchsmuster
Now comprising almost a million lines of C code, BRL-CAD has become a powerful constructive solid geometry (CSG) modeling package that has been licensed at over 2,000 sites throughout the world. It contains a large collection of tools, utilities, and libraries including an interactive geometry editor, ray tracing and generic framebuffer libraries, a network-distributed image-processing and signal-processing capability, and a customizable embedded scripting language. In addition, BRL-CAD simultaneously supports dual interaction methods, one using a command line and one using a graphical user interface (GUI ...
Properties of discrete and digital methods of signal processing, advantages and drawbacks. Linear signal filtering, digital filters of FIR and IIR types, design and realisation. Averaging methods of enhancement of signal in noise. Complex signals and their application, modulation and frequency trasnlation. Correlation and spectral analysis of deterministic and stochastic signals, identification of systems. Detection, inverse filtering and restoration of distorted signals in noise. ...
Baseline Drift Removal of ECG Signal: Comparative Analysis of Filtering Techniques: 10.4018/978-1-4666-8737-0.ch008: The filtering techniques are primarily used for preprocessing of the signal and have been implemented in a wide variety of systems for Electrocardiogram (ECG)
Hi everyone! Im not sure if this is the best place to ask this question, but Ill give it a try. So, Im facing a quite complex problem, that I will...
www.MOLUNA.de Analysis of Neural Data [4200045] - This book provides a unified review of analytical methods for neural data that have become essential for contemporary researchers. Illustrated with more than 100 examples drawn from the literature, ranging from electrophysiology to neuroimaging to behavior.Continual improvements in data collection and processing have had a huge impact on brain research,
Anritsu MP1900A series is an 8-slot modular, high-performance BERT supporting all-in-one Physical layer measurements of both high-speed network interfaces as NRZ and PAM4, and PCI Express, etc., bus interfaces.
Medical Sensing and Stimulation focuses on the acquisition, processing and interpretation of medical signals (diagnosis), and the use of signals to stimulate and thereby correct or improve impaired functions of the human organism (therapy).. Graduated Technical Physicians, who have followed this master, have a good knowledge of the clinical context in which medical signals are relevant, and are able to initiate and develop new innovations in the use of these signals. Here, they can use their knowledge of healthy and sick persons (normal physiology and pathophysiology), and their expertise in the field of signal acquisition and processing. They are capable of performing patient measurements independently in different situations, ranging from an out of hospital setting to measurements in the operating room or intensive care unit. They can process and interpret this data in such a way that it contributes to a more reliable or more efficient diagnosis and/or new therapeutic possibilities. In ...
S. Feng, M. Tang, F. Quivira, T. Dyson, F. Cuckov and G. Schirner, An Embedded Device for Brain/Body Signal Acquisition and Processing, International Symposium on Rapid System Prototyping (RSP), Pittsburgh, PA, 2016. ...
S. Feng, M. Tang, F. Quivira, T. Dyson, F. Cuckov and G. Schirner, An Embedded Device for Brain/Body Signal Acquisition and Processing, International Symposium on Rapid System Prototyping (RSP), Pittsburgh, PA, 2016. ...
Bilinear synthesis of nonstationary signals impinging on a multiantenna receiver has been recently introduced. The distinction in the spatial signatures of the sources provides a vehicle to reduce noise and source signal interactions in the time-frequency domain, and hence improves signal synthesis..... Full description. ...
This 3 channel DMX512 decoder can control up to 3 different 12 VDC LED products or any one RGB LED light bar or strip. Controller can run in stand-alone mode using Address code switches or under DMX512 digital control signals using XLR or RJ45 DMX512 Input/Output interfaces. DMX decoding driver converts universal DMX512/1990 digital signal to PWM signal, which can be controlled by DMX512 console with 16-bit gray scale output per channel. Maximum load is 4 amps per channel-12 Amps total. Includes male and female 3-pin XLR connectors. All products are instock and available to ship from Super Bright LEDs.
In this paper, we theoretically and experimentally demonstrated the residual chromatic dispersion (CD) monitoring of 100-Gbit/s carrier suppress return-to-zero differential quadrature phase shift keying (CS-RZ DQPSK) signals by evaluating the asymmetry ratio of delay tap asynchronous sampling. This scheme can easily differentiate the positive and negative residual CD of the fiber link. The resolution of this scheme is better than 8ps/nm and the measurable range is around ± 24ps/nm for 100Gbit/s CS-RZ DQPSK signals. We can also simultaneously realize both signed CD monitoring and demodulation of CS-RZ DQPSK signal based on only one demodulator. © 2010 Optical Society of America ...