example1_remarkb

最小均方（LMS）自适应算法就是一中已期望响应和滤波输出信号之间误差的均方值最小为准的，依据输入信号在迭代过程中估计梯度矢量，并更新权系数以达到最优的自适应迭代算法。LMS算法是一种梯度最速下降方法，其显著的特点是它的简单性。这算法不需要计算相应的相关函数，也不需要进行矩阵运算。(Minimum mean-square (LMS) adaptive algorithm is that one has to respond to the expectations and filtering the output signal of the mean square error between the value of the minimum-based, based on the input signal is estimated in the iterative process of gradient vector, and to update the weights in order to achieve the most Adaptive iterative algorithm gifted. LMS algorithm is a steepest descent gradient method, and its significant features is its simplicity. This algorithm does not require calculation of the corresponding correlation function, nor the need for matrix calculation.)

隔离型单端反激型直直变换器的Matlab/simulink仿真例程，已检测运行无误。(Isolated single-ended flyback straight converter Matlab/Simulink simulation routines, has been detected running correctly.)

大地坐标的纬度和经度，许多大地坐标的纬度和经度的批处理非常方便。(Geodetic coordinates to latitude and longitude, very convenient to many geodetic coordinates to latitude and longitude of batch.)

Professional Assembly Language (2005)

用MATLAB实现动态聚类或迭代自组织数据分析，线性调频脉冲压缩的Matlab程序,进行波形数据分析,课程设计时编写的matlab程序代码，数值分析的EULER法，LDPC码的完整的编译码，用于特征降维，特征融合，相关分析等,采用加权网络中节点强度和权重都是幂率分布的模型。( Using MATLAB dynamic clustering or iterative self-organizing data analysis, LFM pulse compression of the Matlab program, Waveform data analysis, Course designed to prepare the matlab program code, EULER numerical analysis method, Complete codec LDPC code, For feature reduction, feature fusion, correlation analysis, Using weighted model nodes in the network strength and weight are power law distribution.)

包含五种模型阶次方法，并附有详细的matlab代码。(Five model order methods are included with detailed matlab code.)

D-S证据理论数据融合，基于权重系数与冲突概率重新分配的证据合成方法,叶 清,系统工程与电子技术。(DS evidence theory data fusion, based on the weight coefficient with the probability of conflict redistribution of evidence synthesis methods, Qing Ye, systems engineering and electronic technology.)

Compute symmetric trapezoid region based on its sides and height length.

基于无线传感器网络的水下目标识别，调制线谱特征提取(Underwater wireless sensor network based object recognition, feature extraction line spectrum modulation)

Function to simulate a crane and its load and strain