cluster

这是关于HHT的一个实际信号的HHT谱和边际谱源码。你只需复制到matlab即可运行。很实用。(This is about a real signal HHT HHT spectrum and marginal spectrum of the source code. You just copied to the matlab to run. Very practical.)

电动工具控制源程序 投入量产运用，吐血共享(motor controler)

空间电压矢量调制法，里面都是调试好的模型！应该会对大家有帮助(Space Vector Pulse Width Modulation)

matlab image process，很是不错的，兴旺对大家有所参考，大家共享下呵(matlab image process, it is a good and prosperous for all of us have a reference, we share Oh)

文件包含有5项内容： 一、扩展卡尔曼滤波EKF 二、去偏转换卡尔曼滤波CMKF 三、最小二乘拟和的方法 四、最小二乘、EKF、CMKF的比较 五、野值剔除算法 用MATLAB实现了这些具体算法和要求 (document contains five elements : an extended Kalman Filter EKF two, Partial conversion to CMKF three Kalman filtering, and the least squares method to be four, least squares, EKF. Comparison of five CMKF, excluding outliers algorithm in MATLAB these algorithms and specific requirements)

matlab读取1979-2009年尼诺3指数并画出随年份变化的曲线的程序(Matlab read 1979-2009 nino 3 index and draw the curve of the change of the year with the program )

Image Encryption based on the RGB PIXEL Transposition and Shuffling Abstract — Privacy is one of the key issues information Security addresses. Through encryption one can prevent a third party from understanding raw data during signal transmission. The encryption methods for enhancing the security of digital contents has gained high significance in the current era of breach of security and misuse of the confidential information intercepted and misused by the unauthorized parties. This paper sets out to contribute to the general body of knowledge in the area of cryptography application and by developing a cipher algorithm for image encryption of m*n size by shuffling the RGB pixel values. The algorithm ultimately makes it possible for encryption and decryption of the images based on the RGB pixel. The algorithm was implemented using MATLAB. Index Terms — Cryptography, Encryption, algorithm, cipher image

基于瞬时无功功率理论的谐波检测ip-iq改进方法，值得学习(Based on instantaneous reactive power theory, ip-iq improvement of harmonic detection method, it is worth learning)

雷达数据处理对于观测的目标位置数据（称为点迹）进行滤波处理，自动形成航迹，并且可以对下一个目标的位置进行估计预测。利用最小二乘算法（LMS）进行滤波处理，得到了比较稳定的航迹估计。 最小二乘方法是参数估计中一种较为常见的参数估计方法。对于雷达观测数据，在我们假定已经精确知道航迹的运动学模型之后，通过建立观测方程，即可以对于模型的参数，如初速度，初始位置和加速度等进行最小均方误差估计。采用序贯最小二乘的方法可以对观测数据进行实时处理，已对待估计参数进行实时更新，然后利用观测模型可以对 数据进行滤波计算。(Radar data processing for target position data observed (known as trace points) filter processing, automatic track, and can be estimated to predict the position of the next target. Using the least squares algorithm (LMS) filtering process, have been relatively stable track estimates. Least-squares parameter estimation method is a more common parameter estimation method. For radar data, we assume that the kinematic model has been accurately track after, through the establishment of observation equations, which can be the parameters of the model, as ever speed, acceleration, etc. initial position and minimum mean square error estimation. Sequential least squares method using the observed data can be processed in real time, has been to treat the estimated parameters are updated in real time, and then use observational data can be filtered model calculations.)

这是关于turbo码的编解码的几个matlab程序,希望大家能用的上!(This is a turbo code on several matlab codec procedures, hope that we can use the on!)