equalizersy

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.)

本程序能够实现对乐音信号进行spectrum变换。(This program will be able to realize the music to signal spectrum transformation.)

是一些利用小波变换进行多源图像融合的程序 (Some wavelet transform image fusion process)

说明：  分割对比实验：软硬ESFCM分割结果是差不多的，但是，软ESFCM的执行时间要比硬ESFCM少很多(Split comparative experiments: hardware and software ESFCM segmentation results are similar, but the execution time of the soft ESFCM much less than the hard ESFCM)

一个学习matlab的课件，对于新入门的学习者比较有帮助(Matlab a learning courseware, the new entry for more helpful to learners)

it is a matlab exercise

说明：  多项式拟合用于处理实验数据的一种有效方法，简单实用。并且举了一个例子三次拟合(Polynomial fitting of experimental data for processing is an effective method of simple and practical. And cited an example of three fitting)

Matlab有关改进的PSO算法程序基于三种惯性参数改进的粒子群算法程序,并使用测试函数Goldstein进行结果比较(Matlab program for improving the PSO algorithm is based on three inertial parameters improved particle swarm optimization program and use the results of the test functions were compared Goldstein)

不可多得的安卓入门图书！由Mark Murphy编著，手把手教你实现你的第一个安卓应用程序(Getting Andrews rare books! Edited by Mark Murphy, taught you how to achieve your first Android application)

PSO算法两个目标的代码，测试程序是非线性方程组，目标变量为找到MinF（x)(PSO algorithm code two goals, the test program is non-linear equations, the target variable is found MinF (x))