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在电力系统中谐波检测的实时性和精确度是一个重要部分,目前谐波检测中多以低通滤波器进行滤波,但是由于其要采集大量数据才可以实现稳定输出的固有特性,限制了其实时性和精确度的提高。人工神经网络可以进行滤波分析,但现有神经网络滤波几乎都基于MATLAB仿真,硬件测试的较少。在Linux系统中用C++在Qt软件编程实现三角基函数神经网络滤波,并把文中算法在X86和ARM两个不同芯片下的运行效果与在MATLAB中低通滤波器滤波做对比,发现在实际测试中该算法可以提高精确度,加快响应速度,其次还介绍了算法在基于X86和ARM两个不同芯片下环境配置,编译,实现等技术细节。 相似文献
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Aiming at tlie problems of large date in color image fusion of tlie thermal fault location of electrical equipment,researches and inductions were made for the color image fusion and compressed sensing theory,a kind of infrared and visible color image fusion algoritlim based on compressed sensing was proposed. Firstly,the infrared thermal image and visible color image date was decomposed into three channels of R,G,B,each channel of the date was represented by wavvlet-basis. Secondly,Gauss random matrix was used to sample the sparse data and get the measured value,the measurement value of the corresponding channel was fused by the weighting factors. Finally,the orthogonal matching pursuit reconstruction algorithm (OMP) was performed to reconstruct the fusion data of each channel,the reconstruction data was restored to the color fused image. The results indicate that the proposed algorithm can achieve fusion with less than 50% of the sample points. The value of AG,PSNR,SF,IE is close to the index of traditional data fusion,which maintaines the information of high temperature area and background area perfectly. [ABSTRACT FROM AUTHOR] 相似文献
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本文报道射频电视信号对GaAlAs双异质半导体激光的频率调制。使用自研制由两个Farbry-Perot腔组成的高分辨率光谱测量系统,当用射频电视信号调制半导体激光器的电流时,成功地测量到输出激光的调制边带。文中提出一个简单的模型:将半导体激光器看成一个充满介质的F-P腔,介质内部电流受调制时,腔的谐振频率可写成调制电流的函数,进而以此模型说明实验结果。 相似文献
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针对太阳电池组件参数辨识精确度不高的问题,提出一种采用蜂群算法应用于参数辨识的方法。太阳电池组件模型采用单二极管串并联模型,在确定太阳能组件参数范围后,利用提出的蜂群算法对电池组件参数进行辨识。在蜂群算法中,不同的蜜蜂用不同类型的路径修改自己的位置,从而避免了过早收敛于局部最优解,进行全局搜索最优解。实验结果表明,蜂群优化算法的辨识的均方根差值为0.00241,计算电流(测量的25组电流值)总误差为0.0413,明显优于混沌无性繁殖算法、混沌粒子群算法、模式搜索算法、模拟退化算法,为太阳电池组件的参数辨识提供了一种新的方法。 相似文献