39 results about "Negentropy" patented technology

The invention provides a rolling bearing fault feature extraction method based on an independent component analysis and cepstrum theory. The rolling bearing fault feature extraction method comprises the steps of acquiring a vibration acceleration testing signal of a rolling bearing by using an acceleration sensor; decoupling and separating the vibration acceleration testing signal by using FastICA based on negentropy maximization; selecting a separated signal capable of representing fault feather information to the maximum extent; carrying out cepstrum analysis on the selected separated signal, and drawing a cepstrum chart; observing whether the cepstrum chart has a fault feature frequency or an obvious peak value at a frequency multiplication position, and furthermore, judging whether the rolling bearing has a fault. By using the rolling bearing fault feature extraction method, the feature information of a fault signal of the rolling bearing can be effectively recognized from a complex sideband signal, a periodical fault component in a sideband can be conveniently extracted, the fault information is remarkably enhanced, the fault diagnosis precision is greatly improved, the fault diagnosis time period is shortened, and the spectral analysis difficulty is simplified; in addition, the rolling bearing fault feature extraction method is easy to realize and good in real-time property.

A method, system, and computer program product for identification of more than two pure components from two mixtures using sparse component analysis. Spectroscopic data for two mixtures X are analyzed in a recording domain or in a first new representation domain by using linear transform T1, wherein pure components in the first new representation domain are sparser than in the recording domain. The number of pure components and mixing matrix are estimated by means of a data clustering algorithm. The pure components are estimated by means of linear programming, convex programming with quadratic constraint (l2-norm based constraint) or quadratic programming method with l1-norm based constraint. The estimated pure components are ranked using negentropy based criterion.

An echo canceler includes an adaptable filter that is updated during double-talk and far-end talk. The echo canceler receives a microphone signal that includes a near-end signal and echoes resulting from a far-end signal. The echo canceler whitens the far-end signal and decorrelates the microphone signal. The whitening and decorrelating is done as a preprocessing step for the one-unit blind source separation algorithm. A criterion of measure is used to emphasize the statistical independence of the echo canceled signal and the far-end signal. The echo cancellation problem is cast as a one-unit blind source separation problem. A one-unit blind source separation algorithm such as negentropy maximization can be used to extract the echo canceled signal.

The invention discloses a DWT-SVD-ICA-based digital audio watermarking algorithm. The algorithm is performed according to the following steps: the first step, preprocessing is performed on an original audio signal, and a watermark is embedded in a selected appropriate segment; the second step, when the watermark is embedded, three-level wavelet conversion is performed on the original audio signal, singular value decomposition is performed on an approximate component of the wavelet conversion, and then watermark embedment is completed by utilizing a random mixing method; and the third step, when the watermark is extracted, wavelet conversion and singular value decomposition are performed on the audio signal embedded with the watermark, and then watermark blind detection is achieved by utilizing a negentropy maximization fixed point algorithm. Compared with a traditional ICA-based audio watermarking algorithm, the DWT-SVD-ICA-based digital audio watermarking algorithm is advantageous in that watermark robustness is improved to some extent, that is to say, the watermark robustness is high; and imperceptibility of the watermark can be guaranteed, and blind extraction of the watermark can also be guaranteed.

A computer-implemented data processing system for blind extraction of more pure components than mixtures recorded in 1D or 2D NMR spectroscopy and mass spectrometry. Sparse component analysis is combined with single component points (SCPs) to blind decomposition of mixtures data X into pure components S and concentration matrix A, whereas the number of pure components S is greater than number of mixtures X. NMR mixtures are transformed into wavelet domain, where pure components are sparser than in time domain and where SCPs are detected. Mass spectrometry (MS) mixtures are extended to analytical continuation in order to detect SCPs. SCPs are used to estimate number of pure components and concentration matrix. Pure components are estimated in frequency domain (NMR data) or m / z domain (MS data) by means of constrained convex programming methods. Estimated pure components are ranked using negentropy-based criterion.

The invention provides a rotating machine fault diagnosis method based on Fast ICA-spectrum kurtosis-envelope spectrum analysis. The method includes the steps that (1), an acceleration sensor is used for obtaining vibration acceleration test signals of a rotating machine; (2), the test signals are separated in a decoupling mode by the adoption of a Fast ICA method with negentropy maximized; (3), the spectrum kurtosis of the separated signals is calculated, and the separated signals capable of representing fault information best are screened out; (4), Hilbert envelope spectrum analysis is performed on the selected separated signals; (5), the frequency corresponding to the peak value of an envelope spectrum is compared with the fault character frequency of a bearing, so that a concrete fault is diagnosed. The effectiveness of the method is verified well by the inner ring fault diagnosis of a rolling bearing of the rotating machine, the fault information is obviously increased, the precision of the fault diagnosis is greatly improved, the fault diagnosis method is easy to achieve and good in real-time performance, and it is illustrated that the rotating machine fault diagnosis method has good application prospects.

The invention discloses a heart impact artifact signal extraction device and method, and belongs to the technical field of biomedicine signal processing. The method includes the steps that electrocardiosignals and electroencephalogram signals synchronously collected by EEG-fMRI are transmitted to a heart impact artifact signal extraction module; the heart impact artifact signal extraction module processes the electroencephalogram signals with a fast ICA blind signal processing algorithm based on negentropy and a heart impact artifact signal extraction method with the electrocardiosignals as reference signals, and heart impact artifact signals are obtained through extraction; a signal display module is used for displaying the heart impact artifact signals in real time. The heart impact artifact signal extraction device has the advantages that a lead system is simple in design and convenient to obtain, and the heart impact artifact signal extraction device is capable of extracting the heart impact artifact signals in real time, facilitates clinical application, and is small in size and convenient to carry.

The invention relates to a series of devices with the upward water flow function under the situation that conventional energy consumption does not exist, in particular to a simple channel device achieving spontaneous lighting. The problem that entropy production is irreversible in the energy circulation process is mainly solved, and in other words, negentropy is achieved. The potential energy of water is increased and changed into water flow kinetic energy, the water flow kinetic energy promotes a water turbine to generate power, and electric energy is output to lighting lamps to emit light for lighting after passing a control system and an energy storage system. The device comprises a device body with the upward water flow function, a downward water flow channel, a water turbine generator, an electric control system, the lighting lamps, and an anti-seepage and anti-evaporation closed system. By means of the whole system, the potential energy of the water can be increased under the situation that conventional energy is not consumed, the conversion between the potential energy and the kinetic energy, conversion between the kinetic energy and the electric energy and conversion between the electric energy and visible radiation can be achieved, the light spontaneous lighting is achieved, other energy is not additionally consumed, negentropy is achieved on the basis of the thermodynamics entropy production aspect, and the frequent happening frequency of the earth natural disasters can be finally reduced through the negentropy path.

The invention discloses a method for generating electricity by means of low temperature exhaust heat of a power plant and relates to an unconventional electricity generating method. The problems of excessively large exhaust heat discharge and environment pollution caused by heat of a thermal power plant or a nuclear power plant are mainly solved, and the waste heat is converted to electric energy is achieved through exhaust heat electricity generation. Theoretically, the situation of nonreversible entropy production during energy cycle is solved, that is, the entropy production direction is changed, and negentropy is achieved. Water potential energy is increased through equipment with the upward flowing function; the potential energy is converted to kinetic energy through water fall, and a water turbine is driven to generate electricity; meanwhile, the upward-flowing equipment absorbs a large amount of heat, including low temperature heat, during upward flowing; rapid upward flowing of water can be achieved through a certain structure, and finally energy cycle is achieved. The electricity is generated in the process and supplied to people, a beneficial energy cycle of the nature can be achieved, that is, negentropy is achieved on the basis of thermodynamics entropy production, and the frequency of natural disasters on the earth can be reduced finally.

The invention provides a microseism signal first arrival picking up method based on approximate negentropy, and belongs to the technical field of physical geography. The microseism signal first arrival picking up method based on approximate negentropy designs a suitable approximate negentropy function according to the characteristics of a microseism signal, and combines with a weighting function of the extremum difference of a negentropy-spectrum curve to set a threshold so as to realize accurate division of a signal area and a noise area and accurate pick-up of microseism signal first arrival. The microseism signal first arrival picking up method based on approximate negentropy has the advantages that according to the characteristics of the microseism signal, an approximate negentropy theory in the information theory is cited and a microseism signal first arrival picking up new method based on approximate negentropy is provided; compared with a current pick-up method, the new method can realize accurate pick-up of first arrival time in the lower signal to noise ratio condition and the signal to noise ratio can be as low as -12dB; and the calculating process is simple, and has high speed and high accuracy.

The invention discloses a DWT-SVD-ICA-based digital audio watermarking algorithm. The algorithm is performed according to the following steps: the first step, preprocessing is performed on an original audio signal, and a watermark is embedded in a selected appropriate segment; the second step, when the watermark is embedded, three-level wavelet conversion is performed on the original audio signal, singular value decomposition is performed on an approximate component of the wavelet conversion, and then watermark embedment is completed by utilizing a random mixing method; and the third step, when the watermark is extracted, wavelet conversion and singular value decomposition are performed on the audio signal embedded with the watermark, and then watermark blind detection is achieved by utilizing a negentropy maximization fixed point algorithm. Compared with a traditional ICA-based audio watermarking algorithm, the DWT-SVD-ICA-based digital audio watermarking algorithm is advantageous in that watermark robustness is improved to some extent, that is to say, the watermark robustness is high; and imperceptibility of the watermark can be guaranteed, and blind extraction of the watermark can also be guaranteed.

The invention provides a manufacturing method of an 'upward water flowing' energy circulator and relates to a device having an 'upward water flowing' function. Under the circumstance that no conventional energy consumption is produced, the problem that the entropy increase in the energy circulation process is irreversible is mainly solved in addition to the achievement of a function of 'enabling water to flow from a low position to a high position', namely negentropy and energy circulation are achieved. The device comprises an immersion body (1), a pipeline shell supporting body (2), in-pipeline capillary pipes (3) and a pipeline water outlet body (4), wherein the material for the in-pipeline capillary pipes (3) is a hydrophilic molecular material easily forming hydrogen bonds with H2O, and the pipeline water outlet body (4) is located at the upper-middle portion or the upper portion in a system. The device can achieve the 'upward water flowing' function, increases potential energy of water under the circumstance that no conventional energy consumption is produced, achieves beneficial energy circulation of the natural world, namely achieves the negentropy based on the aspect of thermodynamic entropy increase, and finally reduces frequently occurred natural disasters on the earth.

The invention discloses an MIMO-EDM wireless communication system and method. The MIMO-EDM wireless communication system comprises a hybrid system and a separation system. Multiple-input multiple-output technology and MIMO technology are combined, and multiple paths of signals can be separated from entropy domains by using an entropy division multiplexing algorithm. The MIMO-EDM wireless communication method comprises the following processes: transmitting n paths of source signals; receiving the aliasing signals through a receiving end; and separating the multiple paths of aliasing signals through the separation system. According to the MIMO-EDM wireless communication system and method, the utilization rate of spectrum resources and the capacity of wireless channels are improved; negentropy is used as the criterion of statistical independence, and the separation of the multiple paths of aliasing signals is realized in the information entropy domains for the first time; and high-speed and high- quality broadband wireless communication is realized.