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82 results about "Spectral noise" patented technology

Pump jet propeller model with Helmholtz resonant cavities and design method thereof

ActiveCN106951623AReduce low frequency discrete line spectral noiseReduce Line Spectral NoiseGeometric CADSustainable transportationImpellerResonant cavity
The present invention discloses a pump jet propeller model with Helmholtz resonant cavities, and a design method thereof. The pump jet propeller model comprises a conduit, a front stator, an impeller, a ring rib and a longitudinal rib that are arranged inside the conduit, a Helmholtz resonator with two parallel resonant cavities arranged at the inner front end of the conduit, and a Helmholtz resonator with two parallel neck portions arranged at the inner rear end of the conduit. The resonant frequency of the front resonator is the pump jet blade frequency and 2 times blade frequency, and the resonant frequency of the rear resonator is the 2 times pump jet blade frequency. Compared with the reference pump water jet model, the hydrodynamic performance of the pump jet model with the Helmholtz resonant cavities is basically the same, and the spectral noise at the blade frequency and 2 times blade frequency is reduced by 2-3dB. The number of stator blades is 11 leaves, the number of impeller blades is 9 leaves, and the impeller blades have large lateral slope characteristics, and can be used as the main propeller with the speed of 16 knots, the thrust of 300kN and the power of 3.5MW. According to the technical scheme disclosed by the present invention, pump jet low-frequency spectral noise can be further prohibited, and total noise can be further reduced; and the muffler technical scheme can be applied to the spectral noise optimization design of the non-axis drive integrated motor pump water jet model.
Owner:NAVAL UNIV OF ENG PLA

Airspace interference signal detection method and device

The invention discloses an airspace interference signal detection method and device, and relates to the field of array signal processing. The method is realized through the following technical scheme:based on an FPGA chip parallel hardware processing architecture, forming a data covariance matrix through employing array sampling signal data, obtaining a spatial spectrum value based on an MVDR algorithm, and forming a two-dimensional spatial spectrogram; and then, employing the AGC value for assisting spatial spectrum search to realize interference coming direction detection; meanwhile, performingdigital AGC reverse detection on the interference power which changes rapidly, thus acquiring an interference power value, and therefore the detection result of interference information is enriched. According to the method, a steering vector is obtained in a preprocessing mode and spectral peak calculation is converted into spectral valley calculation, so that the complexity of implementationis further reduced; finally, a spatial spectral noise bottom threshold and a local maximum value are used for jointly judging to replace eigenvalue solution of a sampling data covariance matrix to judge the number of interferences, so that detection of the number of interferences is obtained, and engineering application is efficient and feasible.
Owner:10TH RES INST OF CETC

Mineral constituent hyperspectral remote sensing fine identification method

The invention discloses a mineral constituent hyperspectral remote sensing fine identification method. The method comprises the following steps: subjecting mineral powder in a research region to spectrum scanning to obtain the spectral curves of the mineral powder; extracting and removing abnormal spectral curves in the obtained spectral curves of the mineral powder, carrying out average calculating operation to obtain the average spectral curve of the mineral powder; carrying out a de-noising treatment to obtain a spectral curve without any noise; carrying out a standardization treatment to obtain the absorption peaks of the spectral curve; obtaining all end members of the spectral curve, obtaining the optimal end member group through a least square method model; according to spectral reflectivity values of end members of the optimal end member group and the spectral reflectivity value measured in the research region, establishing a spectral reflectivity inversion equation set, and solving the equation set to obtain the mineral components contained by the spectral curve measured in the research region through remote sensing. The problems such as uncertainty of end members, removal of spectral noise, de-mixing of mineral spectrums, and the like, are solved by the provided method.
Owner:INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI +1
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