MMC_17_Levels

Numerical Recipes The Art of Scientific Computing 3rd by William H. Press, Cambridge University Press 0521880688 2007.pdf

算法是基于均匀线阵的DOA方法，包括MUSIC算法和ESPRIT算法！(MUSIC DOA and ESPRIT DOA based on ULA)

I want matlab code of this paper

说明：  一种分簇算法，适合用于数据聚类，将相似的点集合到一个簇内。(Its a new method of clustering,useing this clustering algorithm ,you can obtain a cluster which is stable )

大型风电场用储能装置容量的优化配置,储能系统的输出功率限制和容量限制对平滑结果均有明显的影响(Optimization Configuration for Capacity of Energy Storage System in Large-scale Wind Farm)

使用MATLAB写的惯性卫星组合导航卡尔曼滤波器程序(Using MATLAB to write inertial satellite combination navigation Kalman filter program)

一种同质的多传感数据融合新算法，克服了融合过程中必须依赖于多传感数据之间关系阀值的人为经验设置问题(Of a homogeneous multi-sensor data fusion algorithms, to overcome the integration process must rely on the relationship between multi-sensor data set the threshold issue of human experience)

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

模拟域系数双线性变换到数字域的子程序，用于matlab子程序调用(Analog domain coefficients of the bilinear transformation to the digital domain of the subroutines for Matlab subroutine calls)

OFDM 系统仿真 基于802.11a系统的仿真 OFDM的 IDFT/DFT实现(OFDM system simulation based on 802.11a OFDM system simulation of IDFT/DFT achieve)