bldc_sim_2064

考虑L的三个不同值：L＝256（3个数据段），L＝128(7个数据段)和L=64（15个数据段）。各自的谱估计图如上图所示。可以明显的看到，加窗明显的减小了频谱上的假谱峰，但也更加进一步平滑了谱峰。所以，对于L＝64的情况，在ω＝0.8π的谱线可以很确定的辨认，但是那两个靠近的谱峰不容易区分。对于L＝128的情况，这种情况提供了在分离和检测间最好的均衡。当然，对于在L＝256时的情况，效果是更好的，能够从谱估计图上明显的分辨出三条谱线的存在以及它们幅度关系的强弱。 除了Welch法外，还可以采用对多个周期图求平均的功率谱估计方法的其他方法如Bartlett法等等，在功率谱估计上也能取得较好的结果。(consider three different values : L = 256 (3 data), L = 128 (7 data) and L = 64 (15 data). Their spectral estimation map as shown in Fig. It is clear to see that increase significantly decreasing window of the spectrum of false peaks, but much more to further smooth the peaks. Therefore, L = 64, in the case = 0.8 spectrum can determine the identification, but that the two peaks around is not easy to distinguish. L = 128 for the situation, which provided the separation and detection among the best balanced. Of course, L = 256 in the case, the effect is better, from the spectral estimation map clearly distinguish between the three lines of the existence and their relationship to the rate of strength. In addition to Welch law, but also can be used to map multiple cycle for the average power)

有限元稀疏矩阵的保存和提取，基于ANSYS提取稀疏矩阵后在matlab中的重新整理。(Preservation and extraction of finite element sparse matrix)

进行Hilbert-Huang变换的源代码，可以对信号进行时频分析，非常好用

利用MATLAB实现CDMA系统的基本功能。(Use MATLAB to achieve the basic functions of CDMA systems.)

Matlab document consisting code of plotting the Mohr circles

Basic computer concept.

Testing complicated str.replace.

自助法（Bootstrap）的matlab源码，在小样本统计学中很有用(matlab code for Bootstrap method)

PQ分解法求取潮流，程序运行结果可靠，简单易于理解 (PQ decomposition strike trend result of the program is simple and easy to understand and reliable)

Locally linear embedding(LLE)是一个经典的流形学习降维方法，通过LLE发现高维数据潜在的内在维数，可以简化计算、方便可视化处理等。(Locally linear embedding (LLE) is a classic manifold learning dimensionality reduction method, discovered by LLE potential inherent high dimensional data dimension, the calculation can be simplified to facilitate visual processing.)