S1236_3phasezhihuan_10a

说明：  matlab序贯算法 提高运算的精确性 对运算仿真结果的准确性进行控制(matlab sequence )

it s about numerical analysis method using matlab or microsoft excel program.

f i g9 _ 9 . ma t. This file and the other magnetization curves in this chapter are available for download from the book s World Wide Web site (see Preface for details).

正交信号校正，用于处理红外及近红外光谱数据，以改进定量校正模型精度(OSC for processing infrared and near-infrared spectral data in order to improve the accuracy of quantitative calibration model)

基于MATLAB编写的代码，采用小波阈值降噪的方法对采集的光谱信号进行滤波处理。可自行设定阈值，实现不同的滤波效果。(Based on the code written in MATLAB, using wavelet threshold noise reduction method for filtering spectrum signal acquisition process. You can set the threshold to achieve different filter effects.)

如何用Matlab画图 以西东方向为横轴，以南北方向为纵轴。（选适当的点为原点）将国土最西到最东边界在x轴上的区间划取足够多的分点xi，在每个分点处可测出南北边界点的对应坐标y1 ，y2，(How to use Matlab drawing XiDong direction in the north and south direction for the horizontal axis, for the vertical axis. (choose appropriate point for starting point the west to the east land border on the x axis of interval strokes on the locations take enough in every cent point place xi, can detect the north-south border points corresponding coordinates, y2 y1, )

建立ARMA模型，进行数据的预测，效果很好，这里是其中的代码(the code of the ARMA)

全极化SAR图像分类算法实现代码：FcenterF方法(Polarimetric SAR image classification algorithm code: FcenterF method)

运用粒子群优化算法对ARMA(p,q)模型的阶数进行优化是可行的，且利用优化后的ARMA模型对航空发电机状态趋势进行分析的结果十分准确，与原始数据所表现出的航空发电机状态变化趋势基本一致。经计算，此时分析结果的平均相对误差较小，仅为1.38 ，与优化前构建的ARMA模型相比，平均相对误差降低0.23个百分点，优化效果明显。(Using particle swarm optimization algorithm to optimize the order of the ARMA (p, q) model is feasible, and the use of the results of the ARMA model optimized air generator status trends analysis is very accurate, and the raw data showed aviation the generator status consistent trend. Calculated analysis of the results, the average relative error is small, only 1.38 , compared with the the ARMA model built before optimization, average relative error is reduced by 0.23 percentage points, to optimize the effect is obvious.)

have adapted the PSO to search in binary spaces