39 results about "Negentropy" patented technology

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.

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 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 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.