icp

MATLAB程序设计数据统计描述和分析MATLAB programming statistical description and analysis of data(MATLAB programming statistical description and analysis of MATLAB programming statistical description and analysis of data)

基本图像处理，包括灰度处理、二值化处理、加噪声、去噪声、边缘提取等功能。(Basic image processing, including gray-scale processing, binarization processing, plus noise, to noise, the edge extraction function.)

kl变换，dct，dft变换以及信号压缩(kl transform, dct, dft transform and signal compression)

说明：  用其中一半的数据采用ANN-BP算法设计分类器，另一半数据用于测试分类器性能。(Half of the data used by ANN-BP algorithm design classifier, the other half of the data used to test the classifier performance.)

IIR滤波器模拟巴特沃斯滤波器，并可观察期幅频和相频曲线(IIR filter simulation Butterworth filter, and can be observed on the amplitude frequency and phase-frequency curve)

基于matlab的锁相环（PLL）仿真源代码(Matlab based on the phase-locked loop (PLL) simulation source code)

此为进行独立成分分析(ICA)的matlab代码，盲源分离(BSS)是指在不知源信号和传输通道的参数的情况下，根据输入源信号的统计特性，仅由观测信号恢复出源信号各个独立成分的过程。这一过程又称为独立成分分析(ICA)。(This is the independent component analysis (ICA) of the matlab code, Blind Source Separation (BSS) is not knowing the source signal and transmission channel parameters, according to the statistical characteristics of the input signal, only the observation signal to restore the source signal The process of each individual component. This process is also known as Independent Component Analysis (ICA).)

耦合影响格子序列仿真，随机性，平衡性，级多瓣分治混沌序列在cnma中的应用(Simulation of the impact of lattice coupling sequence, randomness, balance, class of chaotic sequence多瓣divided the application in cnma)

说明：  To improve the boiler drum level control system of a power plant, the three challenging issues encountered include (1) effect of ‘‘false water level’’, (2) controller parameter mismatches due to variant working conditions and (3) signal noise caused by uncertainties of drum level. In this paper, based on analyses of the drum level signal, an adaptive derivative action is presented to monitor steam flow, and thus, the effect of ‘‘false water level’’ is weakened. The uncertainties of parameter mismatches and noise are predicted by developing a Grey predictor based algorithm (GPBA). In order to resolve the three problems and further control performance, an adaptive technique is combined with the GPBA to develop an adaptive Grey predictor based method. Finally, concrete simulations give that the proposed method has obvious superiority over conventional methods.

有源结构声控制中，矩形腔模型中点力激励时的初级声场数值仿真(primary acoustic field by numerical simulation)