Fault feature extraction and representation is the most crucial problem for the reliability and accuracy in the bearing condition monitoring and fault diagnosis. In this paper we select the fractal dimension as the characteristic parameter, because it can reflect signal complexity. We calculate the fractal signal separately from the signal of time domain and frequency
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Turntable is a test and simulation equipment of inertial navigation system, which is a complex set of mechanical and electrical and plays a huge role in the aerospace, aviation and marine areas. Therefore it is very necessary to carry out the research on fault diagnosis technology to make the turntable work stably and reliably for
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With the development of wireless networks, wireless networks can provide higher and higher bandwidth, which makes video transmission using wireless networks as possible. However, as the video signal a huge amount of information and data, must be efficient compression can be transmitted over wireless networks. Since wireless networks with features such as the instability, which
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China is one of the countries, which are worst affected by typhoon, in the world. When typhoon comes, it causes huge economic losses in the southeast coastal area of our country and people’s lives are threatened. It relates to the vital interests of the people and our country that how to deal with typhoon and
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For an imaging system, the captured digital image will be degraded inevitably for various factors. Due to the pressure of costs as well as technical considerations, most times, it is impossible to increase the resolution of the image by upgrading the image sensor. In applications demanding high resolution images or videos, developing post signal processing
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Fabric defect detection and recognition based on image processing approach is a key component in textile production process.Artifical offline is used in traditional detection and recognition, often affected by subjective factors, fabric defect detection and identification based on computer vision has become a research hotspot of scholars from various countries. Fabric defect is singular signal,
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Cardiovascular disease poses a serious threat to human’s health, its disease mortality is the highest in all the kinds of disease. Heart sound signal is one of human important physiological signal, it contains physiological pathology information of every part of the heart. It is very important to collect heart sound signal and analysis it for
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SAR images get wide application and rapid development because they can be obtained any-time, any-weather and with high resolution. Since each SAR image inevitably contains coherent speckle noise, the relationship between adjacent pixels reduced severely, and speckle noise is the key issue which restricts SAR image compression.Due to the SAR coherent imaging characteristics, the images
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Cardiovascular disease poses a serious threat to human’s health, its disease mortality is the highest in all the kinds of disease. Heart sound signal is one of human important physiological signal, it contains physiological pathology information of every part of the heart. It is very important to collect heart sound signal and analysis it for
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With the rapid development of digital products, image processing is used in a lot of fields. During acquisition and transmission in practical application, images are often subject to several types of noise, which will make the image quality deterioration; therefore, image denoising is very important before the processing. Image denoising filtering algorithm directly affects the
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