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SVR

于 2016-08-03 发布 文件大小:6KB
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代码说明:

  支持向量回归是一种重要的预测技术,通过实现支持向量回归可以预测未来数据(support vector regression is an important prediction technique,we can predict future data by implementing support vector regression )

文件列表:

SVR
...\COMP_B.m,517,2016-07-15
...\data_total.txt,4823,2016-07-12
...\kernel.m,1067,2016-07-15
...\Main_SVM.m,1022,2016-07-15
...\mySVM.m,1376,2016-07-15
...\SVMNR.m,5836,2016-07-14
...\SVMQua.m,840,2016-07-15

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  • xinhao
    1 设计一个FIR数字低通滤波器, 满足一组模拟滤波器的指标参数;分别采用三角窗、hamming窗、blackman窗和kaiser窗进行设计。比较不同窗的设计效果。要求描绘滤波器的脉冲响应、窗函数以及滤波器的幅频和相频响应曲线。 2. 用上述设计滤波器完成几组给定信号的滤波。 3.设计数字高通、带通、带阻滤波器,要求描绘滤波器的脉冲响应以及滤波器的幅频和相频响应曲线。 (1、A design of a FIR digital low-pass filter, analog filters to meet the target of a group of parameters were used triangular window, hamming window, blackman windows and kaiser window design. Window to compare different design effect. Requirements described impulse response filter, window function and the filter amplitude-frequency and phase frequency response curve. 2. Using the above filter was designed to complete several sets of a given signal filtering. 3. Design of digital high-pass, band pass, band-reject filter, the filter impulse response described demand as well as the filter amplitude-frequency and phase frequency response curve.)
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