最小二乘法

说明：  利用matlab编写的小波分解分频和除躁程序，分为高低频率，并除去噪声，达到较好的效果。(Prepared using matlab wavelet decomposition impatient frequency and in addition to procedures, divided into high and low frequency, and to remove noise, to achieve good results.)

说明：  pca 源程序 能用，针对不同问题只要稍作修改即可。(pca)

自编的一些小波源程序,用MATLAB编的.希望对那些喜欢小波的人有所帮助.去解压密码,请放心使用(wrote some of wavelet source, MATLAB series. hope for those who like wavelet help. to extract passwords, please rest assured that the use of)

this code is very usefull for class of cellular automata and implemented GKL rule

有限元Matlab程序，同时提供书籍的pdf文件，供同时学习使用(This book was written to be a undergraduate and introductory graduate level textbook, depending on whether the more advanced topics appearing in the end of each chapter are covered.)

this is Image Segmentation Patern Recognition Beta Version.rar

简单灰度图像显示，很适合初学者，简单实用(Simple grayscale image display, it is suitable for beginners, simple and practical)

自校正实例源代码，包含最小方差（间接和直接）自校正控制源代码，极点配置自校正控制等。(Since the correction source code examples, including minimum variance (indirect and direct) from corrective control the source code, and the pole assignment pid self-tuning control, etc.)

说明：  这是一个对比仿真实验： 基于复信号构造系统，生成IQ数据，进行QAM复调制，然后进行复解调，给出调制前后的频谱： 之后在用传统的载波调制的方式重新在做一遍，给出调制前后的频谱(This is a comparative simulation experiment: Based on complex signal construction system, IQ data is generated, QAM complex modulation is carried out, then complex demodulation is carried out, give the spectrum before and after modulation After that, the traditional carrier modulation method is used to do it again, give the spectrum before and after modulation)

应用自适应的干扰对消法去除高斯白噪声，程序中给出两种相关噪声产生的方法，第一种只有一个噪声是随机产生的，第二种两个噪声都是随机产生的。程序中给出了去噪后信噪比和均方差的增益。(Application of adaptive interference cancellation method to remove Gaussian white noise, the procedure given in the relevant noise generated by the two methods, first there is only one noise is randomly generated, the second two are randomly generated noise. Denoising process is given after the signal to noise ratio and mean square deviation of the gain.)