SourceCode

这是压缩感知领域，一个重构算法--子空间追踪方法，此方法是基于OMP之后的改进算法。(This is a compressed sensing area, a reconstruction algorithm- subspace tracking methods, this method is based on the OMP after the improved algorithm.)

加深对卡尔曼滤波算法的理解，了解卡尔曼滤波器算法的基本特点，掌握卡尔曼滤波算法应用研究的基本步骤和方法(deepen the Kalman filter algorithm understanding, knowledge Kalman Filter algorithm for the basic features, master Kalman filtering algorithm applied research on the basic steps and methods)

 检查数据：如果某一组转速N下数据点少于5个点，给出提示：“数据点少不能绘制曲线”。  插值：每一条转速N线上的测量点个数可能不一样，按照测量点数最多的个数，将测量点少的数据插值成测量数据点最多一样的个数 ( check data: If a group speed N under the data point is less than 5 points, hints: " The few data points can not draw a curve. The  interpolation: each a speed N line, the number of measurement points may be different, in accordance with the maximum number of measurement points, the measurement point less data is interpolated to the measurement data points up the same number of)

使用自适应中值滤波器对图像做预处理，实现图像的消噪(Use adaptive median filter to the image preprocessing, to achieve image denoising)

本文首先推导出过采样滤波器组精确重构的条件, 由于此时所需的约束条件数比临界采 样时少, 因而可以设计出频域衰减特性更好的滤波器组(This paper is derived through sampling filters of exact reconstruction of conditions, due to time constraints required for critical extraction ratio When a small sample, so you can design a better frequency filter attenuation characteristics)

Basic matlab codes tutorial

说明：  关于利亚普诺夫稳定性的模型参考自适应m文件(Australia Punuo Fu on the stability of model reference adaptive m file)

暂态稳定计算，时域仿真暂态稳定分析，用的直接法 (Transient stability calculation, the time domain simulation of transient stability analysis, using the direct method)

对二维图片进行中心放大，能控制放大的倍数，采用最近邻法(enlarge pictures from the center of it，can control the index for enlargement)

采用模型预测控制算法，实现发动机燃油消耗的最优化。(Using model predictive control algorithm to achieve optimal engine fuel consumption.)