The beam former of array signal processing is a space filter
2.
This multi - purpose optical metering system had adopted the twyman - green interferometric system as its center , containing an advanced digital wave surface interferometry and a kind of homodyne interferometer displacement testing method with nanometer - sized capacity . at the same time , many wide - applied metering technology , for example , the diffracted field ( fringe ) measurement , co - focal lens system , optical fiber sensors and 4f ( focal distance ) space filter system which can embody the chief principle of fourier optics well , were combined into it successfully . this instrument can firstly offer and show modern optical testing method in the laboratory for majors of information processing , instrument science , measuring and testing technology and automatic technology
3.
In this paper , both speckles filtering in space and wavelet based methods is used to reduce the speckle . analysis is done to compare the result of filtering . the paper uses enhanced lee filter , unbiased gmap algorithm , shrinking of wavelet coefficients algorithm , wavelet analysis with wiener filter , wavelet analysis with space filter to filter the speckle in four different sar images , and gives a suggestion for the choice of right filter in different situation
4.
Due to the specialties of fault signals in missile fault diagnosis , we proposed a novel de - noising method applying wavelet analysis scale space filter by using the properties of the signal and noise modulus maxima across scales . and modified it by using information on neighboring coefficients into the decision making . this de - noising method can reduce noise to a high degree while preserving most of the important features of the signal such as edges and other singularities
5.
For successfully applying ae on detecting crack during fatigue test , noise restraining , signal locating and the building of ae features database has been deeply investigated in this thesis . in brief , the following are the primary contents : by analyzing the source of noise , several methods of restraining the noise are proposed : space filter , amplitude filter , bp filter , parameters filter , hit time setting and illustrate analysis
6.
Scale space filter can restrain noise and recognize edge reliably in big scale , and can confirm positions accurately in small scale , at last get the true positions of edge by focus processing from big scale to small scale . but traditional canny arithmetic based on guass scale space have shortcomings such as big computing and confirming positions inaccurately
7.
For real world implementation of wavelet theory , the selection of suitable wavelet bases and related algorithms is mainly focused on . then the application in signal de - noising with wavelet transform is investigated . due to the specialties of fault signals in motor control system fault diagnosis , a novel de - noising method applying wavelet analysis scale space filter by using the properties of the signal and noise modulus maxima across scales is proposed
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