3340 results about "Spectrum analysis" patented technology

A method for the detection of analytes using resonant mass sensors or sensor arrays comprises frequency encoding each sensor element, acquiring a time-domain resonance signal from the sensor or sensor array as it is exposed to analyte, detecting change in the frequency or resonant properties of each sensor element using a Fourier transform or other spectral analysis method, and classifying, identifying, and / or quantifying analyte using an appropriate data analysis procedure. Frequency encoded sensors or sensor arrays comprise sensor elements with frequency domain resonance signals that can be uniquely identified under a defined range of operating conditions. Frequency encoding can be realized either by fabricating individual sensor elements with unique resonant frequencies or by tuning or modifying identical resonant devices to unique frequencies by adding or removing mass from individual sensor elements. The array of sensor elements comprises multiple resonant structures that may have identical or unique sensing layers. The sensing layers influence the sensor elements' response to analyte. Time-domain signal is acquired, typically in a single data acquisition channel, and typically using either (1) a pulsed excitation followed by acquisition of the free oscillatory decay of the entire array or (2) a rapid scan acquisition of signal from the entire array in a direct or heterodyne configuration. Spectrum analysis of the time domain data is typically accomplished with Fourier transform analysis. The methods and sensor arrays of the invention enable rapid and sensitive analyte detection, classification and / or identification of complex mixtures and unknown compounds, and quantification of known analytes, using sensor element design and signal detection hardware that are robust, simple and low cost.

A sound source signal from a target sound source is allowed to be separated from a mixed sound which consists of sound source signals emitted from a plurality of sound sources without being affected by uneven sensitivity of microphone elements. A beamformer section 3 of a source separation device 1 performs beamforming processing for attenuating sound source signals arriving from directions symmetrical with respect to a perpendicular line to a straight line connecting two microphones 10 and 11 respectively by multiplying output signals from the microphones 10 and 11 after spectrum analysis by weighted coefficients which are complex conjugate to each other. Power computation sections 40 and 41 compute power spectrum information, and target sound spectrum extraction sections 50 and 51 extract spectrum information of a target sound source based on a difference between the power spectrum information.

A system for measuring and analyzing radio frequency power proximate and within a wireless field device mesh network. A centralized software module (CSWM) collects and analyzes values from one or more wireless devices of the wireless field device mesh network representing received RF power measurements on an assigned RF channel and values representing corresponding times of the received RF power measurements. Each wireless device measures received RF power on the assigned RF channel at times other than during reception of a signal resulting in transmission by the wireless device of either an acknowledgment signal or a non-acknowledgement signal. Values representing the received RF power measurements and the corresponding times of the received RF power measurements are determined from the stored received RF power measurements and corresponding times and then discarded. These values are stored within the wireless device until successfully reported. A network manager coordinates communication between the wireless devices and synchronizes the corresponding times of received RF power measurement throughout the wireless field device mesh network.

A system, method and software for determining a position of a source of a radio emission. Receive signal strength data associated with reception of radio emissions is generated at each of a plurality of radio sensor devices that are at corresponding known positions in an area where the radio emissions are occurring. Using characteristics associated with reception of the radio emissions at each of the sensor devices, the receive signal strength data generated by each of the sensors is matched as corresponding to a radio emission from the same source. The characteristics used to match receive signal strength data may include spectrum analysis data and / or timing analysis data. Once the receive signal strength data is matched, position computations may be performed on the appropriate set of receive signal strength data to compute the position of the source of the radio emission.

A disc serving as a spatial radiation modulator has dispersed radiation filters thereon. Each filter has a transmittance or reflectance modulation function of the form sin2(mθ+pπ / 4), where m is a positive integer and p has one of the four values 0, 1, 2, 3. A radiation beam including selected wavelength components is diffracted into an elongated image dispersed according to wavelength. Different wavelength components are focused onto different filters on the modulator and are encoded by corresponding filters. Since the modulation functions of the filters are orthogonal to one another, it is possible to extract the amplitude of each wavelength component after it has been encoded or modulated by corresponding filter from the total detected signal during one measurement.

An apparatus and method of reproducing a 2-channel virtual sound while dynamically controlling a sweet spot and crosstalk cancellation are disclosed. The method includes: receiving broadband signals, setting compensation filter coefficients according to response characteristics of bands and setting stereophonic transfer functions according to spectrum analysis; down mixing an input multi-channel signal into two channel signals by adding head related transfer functions (HRTFs) measured in a near-field and a far-field to the input multi-channel signal, canceling crosstalk of the down mixed signals on the basis of compensation filter coefficients calculated using the set stereophonic transfer functions, and compensating levels and phases of the crosstalk cancelled signals on the basis of the set compensation filter coefficients for each of the bands.

A method useful for evaluating abnormal body tremors wherein a subject is positioned onto a support surface and one or more components of the load exerted by the subject upon the support surface are measured. Simultaneously, the cardiac activity of the subject is also recorded and the time interval between each consecutive heartbeat is computed. The measured load output is modified to normalize the weight of the subject and then plotted against a modified frequency wherein each time interval between heartbeats represent a unit of time and a selected equal number of force measurement samples are interpolated between each heartbeat. The frequency spectrum analysis of such a modified power spectrum graph yields information about body tremor which can be compared to a prior analysis of the same subject or to the same analysis of a standard. The standard is created using the identical method upon, preferably, a sufficient number of subjects known to be free of abnormal body tremor to yield an average measure useful for comparison and diagnostic purposes.

Wireless devices form a significant portion of equipment forming the source / destination of content transmitted over telecommunications infrastructure together with applications such as RF identification, smart tags, etc. As such the wireless spectrum supports these devices operating to multiple standards, both licensed and unlicensed. In many environments it would be beneficial for a network administrator to know whether the environment and network they are responsible for is compliant to policies established in dependence of the environment / network. The invention provides distributed wireless signal analyzers within the environment / network to provide signal / spectrum analysis and determine whether received signals by the wireless signal analyzer are compliant to the network administrator policy. Compliance may be based upon time or frequency domain measurements with different rules for different wireless spectrum regions. Non-compliance is communicated to remote servers and / or network administrator and allows local control of network equipment.

In one embodiment, the present invention includes a method for receiving data corresponding to a portion of an incoming radio frequency (RF) spectrum, determining a set of estimates including one or more pairs of a channel frequency estimate and a symbol rate estimate from the data via a linear spectrum analysis, and determining a refined set of estimates from the set of estimates via at least one non-linear spectrum analysis.

A system and method is provided for monitoring the operating condition of a pump by evaluating fault data encoded in the instantaneous current of the motor driving the pump. The data is converted to a frequency spectrum which is analyzed to create a fault signature having fault attributes relating to various fault conditions associated with the pump. The fault signature is then input to a neural network that operates in conjunction with a preprocessing and post processing module to perform decisions and output those decisions to a user interface. A stand alone module is also provided that includes an adaptive preprocessing module, a one-shot unsupervised neural network and a fuzzy based expert system to provide a decision making module that operates with limited human supervision.

Systems and methods to assist in locating the focus of an atrial fibrillation include the association of atrial fibrillation cycle length values and statistics relating thereto with temporal locations on an electrogram of a given electrode, and / or the coordination of electrode locations with respective the spectral analyses of electrogram signals and further parameters and statistics relating thereto. Ablation therapy can proceed under guidance of such information.

A method and system is provided for detecting and characterizing pulsed threat radar emitters through heavy in-band interference. System includes an advanced digital signal processing method provides spatial and temporal interference cancellation, super-resolution direction-finding, and high resolution spectrum analysis techniques. The system receives the digitized output of a discriminator bank and produces highly accurate threat pulse radio frequency estimates. The invention further provides a two-channel configuration for a DF subsystem, to perform adjacent-beam direction-finding through severe interference environments. The invention provides increased sensitivity, increased frequency accuracy, and up to 40 dB of increased interference look-through capability in ES system but remains transparent to ES system functioning and to ES system operators.

A method and visualization apparatus for spectral analysis of time-and-space varying signals enables high resolution investigation of 3D seismic data for the exploration of oil and gas. The method extrapolates multi-resolution short windows into an average long window then computes its FFT. Extrapolation uses the continuity relationship between data inside and outside of short windows. Applications of the method are illustrated with graphical screen 3D volume displays of amplitude spectra, dip and azimuth, curvature and faults (figure below). Aside from high resolution these displays improve the productivity of a seismic interpreter.

The invention discloses a rolling bearing failure diagnostic method based on a multi-characteristic parameter, which comprises the following steps of: (1) pre-processing the collected vibrating signals, and removing the interference of the noise and other vibrating sources; (2) extracting a time domain statistical parameter capable of reflecting different working conditions of the rolling bearing from the vibrating signals; (3) figuring out the envelope signal of the pre-processed vibrating signals, decomposing the envelope signal through an improved empirical mode decomposition method to obtain a series of intrinsic mode functions; (4) selecting multiple intrinsic mode functions concentrating most part of energy, and calculating an energy torque; (5) performing envelope spectrum analysis on the first decomposed intrinsic mode function, and calculating the failure characteristic amplitude ratio; and (6) serving a plurality of characteristic parameters extracted in the step as input vector of a BP neural network, and outputting the diagnosis result through the network. The rolling bearing failure diagnostic method disclosed by the invention can fully reflect the operation condition of the rolling bearing, improve the diagnosis accuracy and facilitate realization of the online monitoring of the rolling bearing.

With conventional source separator devices, specific frequency bands are significantly reduced in environments where dispersed static is present that does not come from a particular direction, and as a result, the dispersed static may be filtered irregularly without regard to sound source separation results, giving rise to musical noise. In an embodiment of the present invention, by computing weighting coefficients which are in a complex conjugate relation, for post-spectrum analysis output signals from microphones (10, 11), a beam former unit (3) of a sound source separator device (1) thus carries out a beam former process for attenuating each sound source signal that comes from a region wherein the general direction of a target sound source is included and a region opposite to said region, in a plane that intersects a line segment that joins the two microphones (10, 11). A weighting coefficient computation unit (50) computes a weighting coefficient on the basis of the difference between power spectrum information calculated by power calculation units (40, 41).

The invention belongs to the technical field of digital signal processing, and provides a high-efficiency measurement method of a sinusoidal signal frequency in undersampling and an implementation device which can estimate parameters such as frequency and the like under the condition of undersampling and can finish precise frequency measurement. The invention adopts the technical scheme that traditional FFT spectrum analysis and all phase FFT spectrum analysis are adopted to obtain a peak value spectrum G (q) and a peak value spectrum Ga (q); a phase value is directly read from the peak valuespectrum to take the square of a G (q) modulus to obtain a power spectrum value Pg (q); after performing modulus division on Pg (q) and Ga (q), amplitude estimation is obtained to take the differenceof the phase value of G (q) and the phase value of g(q), and the difference divided by tau=(N-1) / 2 to obtain frequency offset estimation delta k; and finally delta k delta omega and q delta omega aresuperposed to obtain digital angular frequency estimation which directly serves as the phase estimation and the amplitude estimation of the measured signal. The invention is mainly used for undersampling measurement in digital signal processing.

The invention relates to a nondestructive detection method for comprehensive character living bodies of plant seedlings, which comprises the following steps of: performing high-spectrum imaging on the plant seedlings, extracting RGB images and a spectrum of a specific area from a high-spectrum data cube, and acquiring morphological parameter, component content distribution and disease and insect pest information of the seedlings by image processing and spectrum analysis; and establishing a growth prediction model of the plant seedlings by adopting a character-level information fusion method and a fuzzy comprehensive judgment method. The method can realize comprehensive judgment on characters of appearance, nutritional component and disease and insect pest information of the seedlings, and overcome the error caused by un-uniformity during component measurement.

The invention discloses a laser cleaning system based on robot control and a cleaning method thereof. The laser cleaning system comprises a computer system, a laser, a protective cover, a sensing system, a light beam shaping system, a waste processor, an optical spectrum analyzer and a workpiece to be cleaned, and further comprises a robot, wherein the laser and the robot are both connected with the computer system; the light beam shaping system is connected with the laser through an optical fiber; the sensing system and the light beam shaping system are both fixed in the protective cover; the sensing system is connected with the computer system; the protective cover is fixed on a robot arm; and the optical spectrum analyzer is connected with the computer system. The laser cleaning system and cleaning method can clean workpieces to be cleaned with any size and random shapes, can analyze cleaning results in real time to realize closed-loop control, judge the cleaning effect through image processing and optical spectrum analysis, and are accurate in judgment and excellent in cleaning effect; and the robot automated control improves the system adaptability and stability.

A voice-controlled system for providing digital audio content in an automobile is presented. The system comprises a CPU unit that includes a microprocessor programmed to decode and deliver digital media such as MP3s and ebooks to a listener. The CPU unit also includes a storage device for storing the media, RAM and a power supply. The storage device is a “plug-in” unit, such as a hard disc drive, that may be removed and inserted into a home computer for downloading media. The system is controlled using a voice-based input device that interfaces with the CPU unit. The voice-based device is operative to control in a hands-free manner, for example, the selection of the media to be delivered and the volume at which the media is delivered. A display and control unit is suitable for mounting on the dashboard of an automobile and provides an alternative to voice control of the system. The display and control unit also provides a scroll-through list of the available media and information about the media being played such as the title, the artist, the volume at which it is being played and a sound spectrum analysis.

The invention discloses a measuring method and device for measuring the particle granularity, consistency and density, which relates to the technical field of ultrasonic measurement. The invention aims at solving the technical problem of increasing the commonality and the precision of the ultrasonic measurement. The measuring device includes a computer, a signal process circuit, a pulse wave launch / receive circuit and a broadband transducer, which are orderly connected together; the broadband transducer is arranged at the external side of a baffle plate. The process procedures of the computer are as follows: ultrasonic amplitude phase spectrum is obtained after the rapid Fourier transformation of the signal, and then the phase spectrum is converted to obtain a reflection coefficient, the acoustic characteristic impedance, the acoustic attenuation coefficient and the sound velocity; the compound density can be calculated by the measuring value, and the consistency can be calculated through the known particle and the density of the continuous medium; the frequency analysis of the direct reflection wave and the transmission echo is carried out to obtain difference between the acoustic attenuation spectrum and the theoretical acoustic attenuation spectrum, and the difference is then regarded as the objective function, and then is optimized with optimization method to calculate the distribution of the particle granularity. The invention has the advantages of measuring and analysis basing on the reflecting ultrasonic, great commonality and precise measuring result.

A system and method for acoustic detection of coronary artery disease (CAD) are provided. The system includes a transducer for acoustically detecting heart signals of a patient and a computer system which executes detection software for processing the detected heart signals to identify the presence of CAD from the heart signals. The software allows for the automatic definition of a diastolic “window” of the acoustic signal for analysis, and automatically edits the sampled acoustic signal to eliminate unwanted artifacts and / or noise in the acoustic signal. The edited signal is then processed by a plurality of signal processing algorithms, including spectral analysis algorithms, time-frequency algorithms, global feature algorithms, kurtosis algorithms, mutual information algorithms, negenthropy algorithms, and principal component analysis algorithms, to generate a disease vector. The disease vector is then classified to determine whether CAD is present in the patient. Classification can be accomplished using linear discriminant analysis or a support vector machine.

The invention relates to an iron alloy fusing sample preparation method for X-ray fluorescence spectrum analysis, belonging to the technical field of materialization detection and aiming to solve the problem that fusing a film production alloy sample can erode a platinum crucible. The method comprises the steps of building up wall of the platinum crucible, preparing an oxidizing agent, pre-oxidizing an iron alloy sample and fusing and preparing sample from the iron alloy sample. The invention provides the fusing sample preparation method suitable for various iron alloys such as ferromanganese, silicomanganese, calcium silicon, ferrosilicon, ferromolybdenum, ferrotitanium, cymrite, ferrochrome, ferrocolumbium, ferrovanadium, silicon silicomanganese and the like. By adopting the method, a glass fusing piece can be manufactured without eroding the valuable platinum crucible, the sample can be completely oxidized in the sample preparation process, the sample preparation time is short, the prepared glass fusing piece is uniform and perfect, and the mineral effect and the granularity effect can be completely eliminated. The invention has safe and reliable method, simple and convenient operation and good repeatability, is suitable for various iron alloy samples and widens the application range of the fluorescence analysis.

The invention belongs to the field of radar signal processing, and discloses a missile-borne SAR sub-aperture forward squint high-order nonlinear chirp scaling imaging method. According to the method, missile-borne SAR forward squint high-order nonlinear chirp scaling imaging is achieved through sub-aperture data, and the method can be used for SAR imaging of airborne platforms or missile-borne platforms. The method mainly includes the steps of firstly, conducting distance pulse pressure and time domain walking correction on an echo signal; secondly, converting the signal into the two-dimensional frequency domain, conducting frequency domain migration correction and secondary compression, and compensating for the high order phase in the orientation direction; thirdly, leading high-order nonlinear chirp scaling disturbance factors into the orientation frequency domain, and correcting the space variability of the Doppler frequency modulation and the high-order terms in the orientation direction; fourthly, focusing an image on the orientation frequency domain through spectrum analysis. The method solves the problem of decoupling of distance orientation and the orientation focus depth problem caused by time domain walking correction, and the method can meet the requirements for different scenes and high resolution and can be used for the field of ground mapping and other fields.

A multiattribute frequency division imaging method based on wavelet transformation comprises the following steps: 1) preprocessing the seismic data; 2) executing fine frequency spectrum analysis to the seismic data for confirming the effective frequency spectrum range of seismic data; 3) executing horizon interpretation to the seismic data, and executing processions of interpolation, smoothing, etc.; 4) using seismic data and interpreted seismic horizon as input, adopting a wavelet analyzing technique executing wavelet transformation to the seismic data for obtaining a wavelet transformation frequency division result; 5) computing the instantaneous amplitude, instantaneous frequency or instantaneous phase of wavelet field under the meaning of frequency division (ai-1, ai) according to interpretation requirement; 6) reconstructing the instantaneous amplitude, instantaneous frequency or instantaneous phase data of wavelet field according to interpretation requirement; 7) repeating the steps of 4) to 6) to each seismic channel for obtaining the computing results of all seismic channels; and 8) drafting the computed instantaneous wavelet frequency division data. The method of the invention can increase the recognition capability and detection capability of lithologic trap, stratigraphic trap and small discontinuous object for further increasing the fine prediction precision of container horizon.

A system for monitoring a machine includes a memory device operatively coupled with a processor. The memory device stores a plurality of operational measurements of the machine and is programmed with computer instructions that instruct the processor to record a first plurality of operational measurements of the machine, perform a full spectrum analysis thereof, and generate a first full spectrum data set therefrom. The instructions also instruct the processor to transmit the first full spectrum data set to a model stored within the memory device. The instructions further instruct the processor to determine variations between the first full spectrum data set and a second full spectrum data set. The second full spectrum data set is different from the first full spectrum data set.

The invention discloses a method for diagnosing equipment overheating defects by utilizing infrared spectrum analysis. The method comprises the following steps: establishing a standard spectrum library and a typical abnormal infrared spectrum library; acquiring an infrared chart of equipment on site and identifying and matching standing book information of the equipment; calculating related temperature indexes of the spectrum, and automatically extracting the most similar case spectrum; fully contrasting the standard spectrum, the typical abnormal spectrum and the most similar case spectrum, and analyzing and judging whether the equipment is overheated; judging and ranking the equipment state and defect degree, analyzing the risk and giving processing decision suggestions; and transmitting the state data and decision suggestions to a production management system. According to the method for diagnosing equipment overheating defects by utilizing infrared spectrum analysis, centralized management and information sharing of the spectrums are conveniently realized, the accuracy and reliability of spectrum analysis and diagnosis are improved, ad the method provides decision suggestions for field defect processing, is in interactive cooperation with the production management system and has a positive effect of thoroughly promoting equipment state maintenance.

A dynamic audio control circuit (10) and method receives audio type information (70) or audio information (670) embedded in an audio signal (72, 672) and in response dynamically adjusts the audio signal (72, 672) without user intervention. The dynamic audio control circuit (10) may adjust equalization and time delay parameters based on, for example, an audio spectrum analysis of the received audio information (670) embedded in the audio signal (672). According to one embodiment, the audio type information (70) may be, for example, descriptive information such as station and program information transmitted along with a standard radio, television or satellite broadcast. According to another embodiment, the audio type information (70) may be equalization and time delay settings associated with the audio signal (72). The audio characterization information (74, 674) may be used to characterize the audio signal (72, 672) in order to provide a basis for adjusting or customizing the audio signal (72, 672) to the taste of the user.

A sulfur hexafluoride gaseous discharge micro component infrared detection device and method relates to a sulfur hexafluoride gaseous infrared absorption spectrum analysis device and method. The device of the invention mainly comprises an induction voltage regulator, a corona free experimental transformer, a non local discharge protective resistor, a standard capacitance voltage divider, a GIS analogue element, a non inductive resistance, a Fourier transform infrared spectrometer and a wideband high speed super capacity digital storage oscilloscope; wherein the gas tank in the Fourier transform infrared spectrometer is a long optical distance one. The method of the invention includes that discharge micro component detection is carried out on SF6 gas sample in GIS by utilizing the device ofthe invention. The invention can accurately detect various products produced by gas discharge decomposition of SF6 and has the characteristics of high detection precision, high spectrum resolution, good absorption peak symmetry, high signal to noise ratio and the like. The invention can be widely applicable to GIS equipment online running local discharge and provides reliable data for GIS equipment online running state analysis.