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Numerical-Analysis-Based-on-MATLAB

于 2013-08-26 发布 文件大小:6616KB
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  科学计算引论-基于MATLAB的数值分析 第二版(本书重点为数值计算方法和计算的可视化)(Introduction to Scientific Computing- MATLAB-based numerical analysis second edition (book focuses on numerical methods and computational visualization))

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    使用Matlab AR模型的LPC函数来做特征值提取。传统方法中LPC一般用来做语音处理。这里每100个数据来做LPC,用获得的N阶参数来作为振动信号的特征值。这样10000个样本可以获得100个特征值样本集。用这些样本集可以做神经网络分类(Matlab AR model LPC function to do eigenvalue extraction. Conventional method LPC generally used for voice processing. Do LPC, where each of 100 data is obtained N-order parameter as the characteristic values ​ ​ of the vibration signal. So 10000 samples can be obtained the 100 the eigenvalue sample set. Neural network classifier can do with these sample sets)
    2013-01-15 12:07:49下载
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    M序列信号算法仿真在系统辨识中有着很大的应用前景。多谐差相方法辨识精度很高有着很苛刻的要求,要求已知辨识参数个数已知并且需要整周截断。而M序列信号的测试方法没有这个方面的要求。其辨识未知模型时,可以用最小二乘算法观察辨识系统的精度来确定模型的阶次。本算法里面不但给出了用于M序列生成的本原多项式计算方法,同时编写了M序列信号的生成算法,并编写了相关辨识方法的算法。(M sequence signal simulation algorithm for identification in the system have great application prospects. Identification of multi-harmonic differential phase method with high precision has very stringent requirements, demand parameters are known to identify the number of known and need to cut off the whole week. The M sequence signal testing methods do not have this requirements. Its identification unknown model, you can observe the identification system using least-squares algorithm to determine the accuracy of the model order times. This algorithm is used which not only gives the M sequence generated by primitive polynomial method of calculation as well as prepare the M sequence signal generation algorithm, and the preparation of the relevant identification method algorithms.)
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