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Laminate analysis of composite plates using Matlab. Based on classical laminated plate theory.

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)

说明：  修正的music算法，前后向空间平滑算法的特殊形式(Revised music algorithm, before and after the spatial smoothing algorithm to the special form)

c means functionality

《滑模变结构控制MATLAB仿真》目前最新版的配套光盘中的matlab仿真程序，和适合做滑膜变结构的仿真，可以在基础上扩展，很好的低起点资料(" MATLAB simulation of sliding mode variable structure control," the latest edition of the companion CD matlab simulation program, and suitable for synovial variable structure simulation, you can expand on the foundation, a good starting point for information on low)

Matlab Code for Discrete Time Signals

二阶多智能体系统一致性的simulink仿真框图(Simulink simulation of multi-agent system)

pattern recognition system

粒子群算法的寻优算法，非线性函数极值寻优，MATLAB的经典算法(Particle swarm optimization algorithm, nonlinear function optimization extreme, MATLAB classical algorithm)

线性及卷积混合信号盲源分离论文及算法 全是算法,看不懂也不要下了,慢慢看,免费的 (Linear and mixed-signal convolution papers and blind source separation algorithms are algorithms, do not know do not look down, and slowly watch, free)