gongchengjingji

Simulink Book for machine control

mRMR(最小冗余最大相关)的比较好的文档，可参考一下(mRMR (minimum redundancy maximum correlation) of good documentation, reference)

io口控制源代码 io口控制源代码(io I io I control source code control source code)

ifft和fft实现线性卷积,并与matlab中默认内置的conv()函数的结果对照，验证其正确性。(using ifft and fft to accomplish linear conviction. Comparing this method with matlab default function conv().)

newmark方法是实际应用程序，尤其适合初学者入门学习，易于消化。(Newmark method is a practical application, especially for beginners entry to learn, easy to digest.)

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.)

基于matlab编写的小程序，可以实现观察信号的泄漏现象，亲自验证好使。(Based on matlab prepared applet, you can achieve the observed signal leakage phenomenon, personally verify so.)

lstm实例+代码，包含详细注释，能运行，简单的房产价格预测实例(Lstm u5B9E u4F9 u4E09 u4EF3 u643 U6D4B u5B9E u4F8B)

单元平均恒虚警检测——CA-CFAR检测器：包括对于无目标、仅有噪声的信号进行CA-CFAR检测的仿真(Unit average constant false alarm detection - CA-CFAR detector: emulation of CA-CFAR detection for signals with no target and only noise)

tidal prediction source code