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spod_matlab-master

于 2021-03-02 发布

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下载积分: 1 下载次数: 23

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代码说明：

说明：本征正交分解(Proper Orthogonal Decomposition, POD)作为一种大批量处理数据的方法，在众多的领域中都涉及应用(Proper Orthogonal Decomposition, POD)

文件列表：

spod_matlab-master, 0 , 2018-06-22
spod_matlab-master\LICENSE.txt, 2190 , 2018-06-22
spod_matlab-master\README.md, 7397 , 2018-06-22
spod_matlab-master\example_1.m, 2686 , 2018-06-22
spod_matlab-master\example_2.m, 3412 , 2018-06-22
spod_matlab-master\example_3.m, 2764 , 2018-06-22
spod_matlab-master\example_4.m, 4636 , 2018-06-22
spod_matlab-master\example_5.m, 2859 , 2018-06-22
spod_matlab-master\example_6.m, 2652 , 2018-06-22
spod_matlab-master\jet_data, 0 , 2018-06-22
spod_matlab-master\jet_data\jetLES.mat, 85785283 , 2018-06-22
spod_matlab-master\spod.m, 17387 , 2018-06-22
spod_matlab-master\utils, 0 , 2018-06-22
spod_matlab-master\utils\getjet.m, 105 , 2018-06-22
spod_matlab-master\utils\trapzWeightsPolar.m, 679 , 2018-06-22

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本程序是计算振动信号各种参数的实验程序。主要功能是计算均值、标准差、方差、偏斜度、峭度、峰峰值、方根幅值、平均幅值、峰值、波形指标、峰值指标、脉冲指标、裕度指标。 (matlab index)

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bpskd
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2013-08-27 22:07:11下载

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直接序列扩频仿真实例，产生m序列，然后进行扩频通信，对初学者很有用啊(Direct Sequence Spread Spectrum simulation example, useful for beginners )

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实现维纳滤波用于语音增强。第一步采用频域谱函数计算最佳的维纳滤波器，再对输入带噪信号进行滤波；第二步是在此基础上的改进，用了自适应的思想，及时根据当前帧的状态更新修正滤波器的系统函数，得到更精确的无噪语音信号。第三步是采用自适应LMS方法，在时域迭代计算滤波器系数，迭代次数足够多时可得到较准确的有用信号。(Implement wiener filtering used in speech enhancement. First step optimum wiener filter is obtained by using the frequency spectrum function, again to input the signal with noise filtering The second step is the improvement on the basis of this, with the idea of adaptive, and in a timely manner according to the current frame updates correction system function of the filter, get a more accurate without noise speech signal. The third step is to use the adaptive LMS method, iterative calculation in time domain filter coefficient, the number of iterations enough to get the useful signal accurately.)

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在高斯背景下，测试在随机信号情况下的大特征值个数问题，并仿真了杂波功率谱(Gaussian background, test the number of large eigenvalues in the case of random signals, and simulate the noise power spectrum)

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