sxbwsvpwm_LCL1

迭代自适应Simpson，Lobatto积分 In almost every standard book on numerics quadrature algorithms like the adaptive Simpson or the adaptive Lobatto algorithm are presented in a recursive way. The benefit of the recursive programming is the compact and clear representation. However, recursive quadrature algorithms might be transformed into iterative quadrature algorithms without major modifications in the structure of the algorithm. We present iterative adaptive quadrature algorithm (adaptiveSimpson and adaptiveLobatto), which preserves the compactness and the clarity of the recursive algorithms (e.g. quad, quadv, and quadl). Our iterative algorithm provides a parallel calculation of the integration function, which leads to tremendous gain in run-time, in general. Our results suggest a general iterative and not a recursive implementation of adaptive quadrature formulas, once the programming language permits parallel access to the integration function. For details the attached PDF file Conrad_08.pdf. (Iterative Adaptive Simpson, Lobatto Points In almost every standard book on numerics quadrature algorithms like the adaptive Simpson or the adaptive Lobatto algorithm are presented in a recursive way. The benefit of the recursive programming is the compact and clear representation. However, recursive quadrature algorithms might be transformed into iterative quadrature algorithms without major modifications in the structure of the algorithm.We present iterative adaptive quadrature algorithm (adaptiveSimpson and adaptiveLobatto), which preserves the compactness and the clarity of the recursive algorithms (eg quad, quadv, and quadl) . Our iterative algorithm provides a parallel calculation of the integration function, which leads to tremendous gain in run-time, in general. Our results suggest a general iterative and not a recursive implementation of adaptive quadrature formulas, once the programming language permits parallel access to the integration function. For details the attached PDF file Conrad_08.pdf.)

说明：  on bldc motor control fo any applll

ls-svm 最小二乘支持向量机数值分析与训练，包括蚁群算法和lssvm1.6安装(ls-svm including psolsssvm and svm1.6package)

％ because we do not truncate and shift the convolved input ％ sequence, the delay of the desired output sequence wrt ％ the convolved input sequence need only be the delay ％ introduced by the ideal weight vector centred at n=5( Because we do not truncate and shift the convolved input sequence, the delay of the desired output sequence wrt the convolved input sequence need only be the delay introduced by the ideal weight vector centred at n = 5)

本代码是高阶累积量MUSIC算法的源程序。采用高阶累积量MUSIC算法进行DOA估计(This code is cumulant MUSIC algorithm of the source. Using cumulant MUSIC DOA estimation algorithm)

关于matlab的详细资料，电子书籍，有基础介绍，算法，实例，代码，对于matlab的学习和应用非常有帮助。(For more information on matlab, e-books, a basic introduction, algorithms, examples, code, and for the learning and application of matlab very helpful.)

去斜率（strech）参考信号与回波信号混频后得到中频输出信号S(t)=Aexp(j*2*pi*f0*t+phase) 其中f0与回波延时的关系为： f0=k*delay_t K为线性调频斜率，delay_t为回波延时 将s(t)采样，FFT变换即可得到目标距离与频谱的关系。 Strech 信号测距 输入混频后的中频信号（图一），经采样及FFT变换得到频谱（图二） 再根据频谱与距离的关系式R=Tcf/2B显示出距离(图三) (Go slope (strech) obtained after the reference signal and the echo signal mixer IF output signal S (t) = Aexp (j* 2* pi* f0* t+phase) f0 and echo delay relationship: f0 = k* delay_t K chirp slope, delay_t the echo delay sampling s (t), the FFT transform to the target distance spectrum of relations. Strech signal ranging input mixer IF signal (Figure 1), sampling and FFT transform spectrum (Figure 2) according the the spectrum distance relationship R = Tcf/2B shows the distance (Figure 3))

The exponential growth in the number of Photovoltaic (PV) system installations verifies that solar power technology has become one of the promising energy resources. This paper introduces new control scheme and converter topology for low to medium power PV applications. Proposed topology provides independent MPPT and power decoupling without the use of bulky electrolytic capacitors.

Solving Problems with Partial Swarm Optimization +Example

快速扩展随机生成树算法，FMCW调频连续波雷达的测距测角，在matlab R2009b调试通过。( Rapid expansion of random spanning tree algorithm, FMCW frequency modulated continuous wave radar range and angular measurements, In matlab R2009b debugging through.)