xwdock2.02beta

功能描述：用matlab语言实现LMS自适应算法 函数名：LMS_Algo 输入参数： (1)M:滤波器的阶数 (2)N:LMS算法迭代的次数 (3)mu:自适应参数 (4)xn:LMS算法的输入序列 输出参数： (1)系数矢量A (Function Description: The LMS adaptive algorithm matlab language function name: LMS_Algo Input parameters: (1) M: the order of filter (2) N: LMS algorithm the number of iterations (3 ) mu: adaptive parameters (4) xn: LMS algorithm for the input sequence Output parameters: (1) coefficient vector A )

analysis( graphical and parametric ) of 1st-order , 2nd-order & nth-type systems (This Program Includes :::::::::::: 1:: Analysis of 1st order systems for 1.step signal ,2.ramp signal, 3. Accelaration signal. 2:: Analysis of 2nd order systems for 1.step signal, 2.ramp signal. 3:: Frequency analysis of 2nd order systems. 4:: Steady State Error Analysis of "0th" , "1st" , "2nd" type systems. 5:: Performance Indices of a System. )

SVM light 工具箱 包含例子和说明文件 包含windows版本和matlab版本222,Matlab的一个辅助库(this is a matlab ass lib,hope everyone enjob it.)

matlab的基础知识ppt03，适合初学者，希望大家好好学习(matlab basics ppt03, suitable for beginners, I hope you learn)

The circular convolution, also known as cyclic convolution, of two aperiodic functions (i.e. Schwartz functions) occurs when one of them is convolved in the normal way with a periodic summation of the other function.

基于MATLAB的交流电机仿真模型，通过程序计算，仿真可以得到定子、转子的的性能特征(The performance characteristics of the stator and the rotor are obtained by the simulation model of the AC motor based on MATLAB.)

Ｂｏｏｓｔ电路的小信号模型，采用实际电路搭建，效果很好。(Boost circuit of small signal model, using the actual circuit to build, the effect is very good.)

M-QAM系统的调制和解调以及在噪声条件下的误码率性能分析(M-QAM-modulation-demodulation)

LTE链路和系统仿真 LTE链路和系统仿真 LTE链路和系统仿真(Link and system simulation LTE LTE LTE link link and system simulation and system simulation)

克里金法广泛地应用于地下水模拟、土壤制图等领域，是一种很有用的地质统计格网化方法。它首先考虑的是空间属性在空间位置上的变异分布．确定对一个待插点值有影响的距离范围，然后用此范围内的采样点来估计待插点的属性值。该方法在数学上可对所研究的对象提供一种最佳线性无偏估计(某点处的确定值)的方法。它是考虑了信息样品的形状、大小及与待估计块段相互间的空间位置等几何特征以及品位的空间结构之后，为达到线性、无偏和最小估计方差的估计，而对每一个样品赋与一定的系数，最后　进行加权平均来估计块段品位的方法。(Kriging is a technique that provides the Best Linear Unbiased Estimator of the unknown fields (Journel and Huijbregts, 1978 Kitanidis, 1997). It is a local estimator that can provide the interpolation and extrapolation of the originally sparsely sampled data that are assumed to be reasonably characterized by the Intrinsic Statistical Model (ISM). An ISM does not require the quantity of interest to be stationary, i.e. its mean and standard deviation are independent of position, but rather that its covariance function depends on the separation of two data points)