pulizia

系统辨识二阶递推最小二乘算法实现。对数据进行了归一化的预处理，并且对原始数据进行一次采样(Second-order recursive least squares system identification algorithm)

matlab详细入门教程，甚至安装运行的图文说明。有图有源码，相信对初学者很有帮助。pdf格式(matlab detailed introductory tutorial, and even graphic installation and operation instructions. There are pictures and source code, I believe useful for beginners. pdf format )

kalman滤波算法应用matlab语言来实现。(kalman filter matlab )

此为三相正弦波PWM逆变器电路，由IGBT元件构成，可实现三相逆变仿真。(PWM inverter)

根据)EF 特性中的对比度敏感度， 即空间频率特性曲线，对图像进行二维多级小波分解，由分解后的各小波分量，提取各频段相应的亮 度、清晰度和相关度指标；然后将这三个指标的几何平均与频段加权系数的内积做算术平均，以此作 为图像质量的综合评价指标(According to) EF characteristic of contrast sensitivity, that is spatial frequency characteristic curve, the image is two-dimensional multi-level wavelet decomposition, the decomposition of the wavelet component, extract the frequency band corresponding brightness, clarity and relevance of indicators then the geometric mean of these three indices and the band doing weighted coefficient of the arithmetic mean within the product as a comprehensive evaluation of image quality index)

OFDM using uqiue word. Generation and MMSE decoding, Sphere decoding

matlab的数据挖掘工具箱spider(matlab tool box spider)

说明：  SVDD 是一种重要的数据描述方法, 它能够对目标数据集进行超球形描述, 并可用于异类点检测或分类. 在现实生活中目标数据集通常包含多个样本类, 且需要同时对每一个样本类进行超球形描述。(SVDD is an important data description method, which can describe the hypersphere of the target data set, and can be used for the detection or classification of heterogeneous points. In real life, the target data set usually contains multiple sample classes, and needs to describe each sample class at the same time.)

常用的MATLAB变换代码，1-32是：图形应用篇 33-66是：界面设计篇 67-84是：图形处理篇 85-100是：数值分析篇适合初学者(MATLAB transform code commonly used 1-32 is: graphics articles 33-66 is: interface design articles 67-84 is: is the graphics chapter 85-100: Numerical Analysis Section for beginners)

产生不同频率、不同幅度的两种正弦波信号 对两个信号进行叠加并做频谱分析 还原原来两个信号（LPF)(Produce different frequency, the two sine wave signals of different magnitudes of the two signals are superimposed and do spectral analysis to restore the original two signals (LPF))