pra6

用平面波展开法计算的二维光子晶体结构例程三，matlab程序源代码(With the plane wave expansion method to calculate the three-dimensional photonic crystal structure routines, matlab source code)

灰色系统理论是研究解决灰色系统分析、建模、 预测、决策和控制的理论.灰色预测是对灰色系统 所做的预测.目前常用的一些预测方法（如回归分 析等），需要较大的样本.若样本较小，常造成较 大误差，使预测目标失效.灰色预测模型所需建模 信息少，运算方便，建模精度高，在各种预测领 域都有着广泛的应用，是处理小样本预测问题的 有效工具(Grey system theory is the research and solution of grey system analysis, modeling, The theory of prediction, decision - making and control At present, some commonly used prediction methods (such as regression score) If the sample size is small, it often results in a comparison Large error, so that the prediction of the target failure Less information, convenient operation, high modeling accuracy, in a variety of prediction collar Fields are widely used to deal with small sample prediction problems Effective tool)

C-C算法，关联积分法求嵌入维数和时间延迟。(CC algorithm, correlation integral method the embedding dimension and time delay.)

副瓣对消，采用主波束采样数据与对消波束数据的相关性，进行对消(use main beam and cancellation beam to eliminate sidelobe targets)

说明：  Matlab与VC混合编程的指导，中文版(Matlab programming with VC mixed guidance, the Chinese version)

Cool EKF SLAM using matlab script and vehicle simulation.

该程序是music谐波恢复算法仿真，由仿真结果证明music算法可以准确进行谐波估计。(The program is music harmonic retrieval algorithm simulation, the simulation results show that the harmonic music algorithm can accurately estimate.)

对于QPSK性能分析的源码,最后给除2种信道下的误码率比较图(QPSK performance analysis for the source, the final addition to the two types of channel bit error rate plan)

拟合圆，具体的参考文献为“ G. Taubin, "Estimation Of Planar Curves, Surfaces And Nonplanar Space Curves Defined By Implicit Equations, With Applications To Edge And Range Image Segmentation",IEEE Trans. PAMI, Vol. 13, pages 1115-1138, (1991)”(Fitting circle, the specific references to G. Taubin， Estimation Of Planar Curves of the Surfaces And Nonplanar SPACE Curves the Defined BY Implicit Equations, with Applications, the To the Edge And the Range Image Segmentation, IEEE Trans PAMI, Vol 13, pages 1115-1138, (1991) )

A new blind adaptive multiuser detection scheme based on a hybrid of Kalman filter and subspace estimation is proposed. It is shown that the detector can be expressed as an anchored signal in the signal subspace and the coefficients can be estimated by the Kalman filter using only the signature waveform and the timing of the desired user.(A new blind adaptive multiuser detection s cheme based on a hybrid of the Kalman filter and subs pace estimation is proposed. It is shown that th e detector can be expressed as an anchored signa l in the signal subspace and the coefficients ca n be estimated by the Kalman filter using only th e signature waveform and the timing of the desir ed user.)