M_sequence

说明：  Mie散射系数也叫米散射的Matlab计算程序。 当球形粒子的尺度与波长可比拟时，发生的散射为米散射。此时必须考虑散射粒子体内电荷的三维分布。此散射情况下，散射粒子应考虑为由许多聚集在一起的复杂分子构成，它们在入射电磁场的作用下,形成振荡的多极子,多极子辐射的电磁波相叠加，就构成散射波。又因为粒子尺度可与波长相比拟，所以入射波的相位在粒子上是不均匀的，造成了各子波在空间和时间上的相位差。在子波组合产生散射波的地方，将出现相位差造成的干涉。这些干涉取决于入射光的波长、粒子的大小、折射率及散射角。当粒子增大时，造成散射强度变化的干涉也增大。因此，散射光强与这些参数的关系,不象瑞利散射那样简单,而用复杂的级数表达，该级数的收□相当缓慢。这个关系首先由德国科学家G.米得出，故称这类散射为米散射。 (Mie Efficiencies)

this is a one program about active contour

49条模糊控制规则形成一个模糊控制规则矩阵，然后根据模糊输入量按照相应的模糊推理算法完成计算(fuzzy inference)

说明：  英文书《Fast Fourier Transforms, Second Edition》附带的MATLAB实例(English book )

一个很好的残差重采样粒子滤波算法，Matlab代码(A good residual resampling particle filter algorithm, Matlab code)

直角坐标系下的单雷达kalman滤波，实现直角坐标系下单部雷达对目标的跟踪。(The single radar Kalman filter in Cartesian coordinates in the Cartesian coordinate system, place an order of radar target tracking. )

基于MATLAB实现的来源球运动，良好的Mattlab GUI编程例程,可以直接使用。 (Realized by MATLAB source of ball movement, the good Mattlab GUI programming routines that can be used directly.)

Multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) is very sensitive to the carrier frequency offset (CFO), which not only affects the channel estimation but also the selection of a minimum error probability based precoder for peak-to-average power ratio (PAPR) reduction such that the system performance will degrade. This paper presents the joint scheme of CFO) and channel estimation in the MIMO-OFDM systems with the minimum error probability based precoder for reducing PAPR. We provide the solution to eliminate the effects of ICI due to CFO mismatch for OFDM with space frequency block codes and spatial multiplexing, drive a generalized linear model and propose a non-iterative reduced complexity model.

智能优化算法标准测试函数，cec09动态问题测试函数(Benchmark Generator for CEC 2009 Competition on Dynamic Optimization)

load flow solution for ieee 14 bus system is attached