matlab

基于观测器的仿真程序，在控制中引入等效补偿从而实现对干扰的完全抑制(Observer-based simulation program, the introduction of equivalent compensation control in order to achieve interference completely inhibited)

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分形天线KOCH振子的生成，与mom矩量法分析其多频特性(Fractal Antenna KOCH oscillator generation, and the mom moment method analysis of their multi-frequency characteristics of)

Bayesian calssifier matlab code and confusion matrix

复数信号的fastICA算法.希望对大家有所帮助哦(plural signals fastICA algorithm. We hope to help oh )

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.)

BPSK调制解调，采用升余弦波形成形，误码性能分析(BPSK modulation and demodulation, the use of raised cosine waveform shaping, error performance analysis)

说明：  基于fuzzy c-means（FCM）的无监督模糊聚类算法，输出值有：各个样本的类别标签、目标函数在每次迭代后的值、聚类中心以及聚类区间。内有测试数据data.mat，点击 test.m 可以完美运行。(The unsupervised fuzzy clustering algorithm based on fuzzy c-means (FCM) outputs the class labels of each sample, the value of the target function after each iteration, the clustering center and the clustering interval. There is test data ('data.mat') inside, click ' test.m' to be able to run perfectly.)

说明：  本包讲解的是关于扩展卡尔曼滤波同时定位与见图的MATLAB仿真代码(This package explains the MATLAB simulation code for simultaneous Kalman filtering simultaneous positioning and reference.)

说明：  这些是对Matlab知识的一个总结，里面还有一些专题，比如优化问题，概率问题等等(This is a conclusion of Matlab knowledge. And you can also learn something else from this)