xiandainibianjishu-liufengjun

小波包提取滚动轴承故障能量特征的matlab程序，大家只要把采集的滚动轴承振动信号数据放入程序中即可使用，希望对大家有所帮助。(Bearing Fault wavelet packet energy feature extraction matlab program, we just put a rolling bearing vibration signal collected data into the program to use, we want to help.)

批量读栅格文件转成二进制文件的值信息，适合地理学(Batch read grid file into a binary file the value of information, suitable for geography)

When capturing an iris image under unconstrained conditions and without user cooperation, the image quality can be highly degraded by poor focus, off-angle view, motion blur, specular reflection (SR), and other artifacts. The noisy iris images increase the intra-individual variations, thus markedly degrading recognition accuracy. To overcome these problems, we propose a new iris recognition algorithm for noisy iris images.

Using the PSO the LSSVM the parameter, the optimal parameters, more accurate classification.

MATLAB时频分析的原代码（一部分）！！(Time-frequency analysis of the original MATLAB code (part of)! !)

广义霍夫变换边缘提取代码，目标是针对图像中某一标识，进行识别和提取(Generalized Hough transform edge detection code, the goal is for the image of a logo, to identify and extract)

向matlab中读入s2p文件的数据。读入的数据格式为freqx[S11 S21 S12 S22](The program read .s2p file into matlab. The data matrix will have a dimension of freqx4. the four columns are [s11 s21 s12 s22].)

（7,4）循环码的编译码器设计，模拟了信道噪声，并且进行了2种译码方法((7,4) of the codec of the cyclic code design, simulates the channel noise, and the two kinds of decoding methods)

关于数据挖掘的原理，很好的一本书，介绍了许多数据挖掘的通用算法(Data mining on the principles of a good book to introduce some common data mining algorithms)

1．通过实验加深对快速傅立叶变换（FFT）基本原理的理解。 2．了解FFT点数与频谱分辨率的关系，以及两种加长序列FFT与原序列FFT的关系。 离散傅里叶变换（DFT）和卷积是信号处理中两个最基本也是最常用的运算，它们涉及到信号与系统的分析与综合这一广泛的信号处理领域。实际上卷积与DFT之间有着互通的联系：卷积可化为DFT来实现，其它的许多算法，如相关、滤波和谱估计等都可化为DFT来实现，DFT也可化为卷积来实现。(1. Deepen the experimental fast Fourier transform (FFT) the basic tenets of understanding. 2. Understand the FFT spectrum and points of the resolution, and two extended sequence with the original FFT FFT relations. Discrete Fourier Transform (DFT) and the convolution of two signal processing is the most commonly used basic arithmetic, they relate to the signal and system analysis and synthesis of the wide range of signal processing field. DFT actually convolution and interoperability between contact : DFT into convolution can be achieved in many other algorithms, If relevant, filtering and spectral estimation could be achieved as DFT, DFT into convolution can be achieved.)