multiratefilter

这是一个比较简单的模糊免疫PID的程序，在程序中结合了P模糊与免疫的思想，有较高的实用价值！(This is a relatively simple procedure of fuzzy immune PID in the process of combination of P and the immune fuzzy thinking, a higher value!)

压缩感知， 匹配追踪， 是MP算法的另一种实现，该代码严格按照算法，运行可靠(compressive sensing match pursuit another MP algorithm .both MP and MP2 can work well)

此matlab函数可以在ECEF和ECI坐标之中转转换地点和速率信息。 ，经测试可直接使用。 (This Matlab function can be transferred into the ECEF and ECI coordinate conversion location and rate information. Has been tested and can be used directly.)

说明：  最速下降法是迭代法的一种,可以用于求解最小二乘问题(线性和非线性都可以)。在求解机器学习算法的模型参数，即无约束优化问题时，梯度下降（Gradient Descent）是最常采用的方法之一，另一种常用的方法是最小二乘法。在求解损失函数的最小值时，可以通过梯度下降法来一步步的迭代求解，得到最小化的损失函数和模型参数值。反过来，如果我们需要求解损失函数的最大值，这时就需要用梯度上升法来迭代了。在机器学习中，基于基本的梯度下降法发展了两种梯度下降方法，分别为随机梯度下降法和批量梯度下降法。(The steepest descent method is a kind of iterative method, which can be used to solve the least squares problem (both linear and nonlinear). In solving the model parameters of machine learning algorithm, that is, unconstrained optimization, gradient descent is one of the most commonly used methods, and the other is the least square method. When solving the minimum value of loss function, the gradient descent method can be used step by step to get the minimum value of loss function and model parameters. Conversely, if we need to solve the maximum value of the loss function, then we need to use the gradient rise method to iterate. In machine learning, two kinds of ladders are developed based on the basic gradient descent method)

介绍了Matlab下的MPPT扰动观察法仿真中的S函数编写(Introduced under Matlab simulation MPPT perturbation and observation method S-function written)

信号处理技术源代码系列4，版权为原作者所有，使用者与原作者联系。(Signal processing technology source code Series 4, the copyright for the original author of all, the user contact with the original author.)

周期图谱估计算法，画出ＭＳＫ随机信号的功率谱(Cycle pattern of estimation algorithm, a random draw MSK signal power spectrum)

说明：  里面什么都有大家可以自己查看，里面说的都很详细，可以借鉴一下，请注明版权。(Has everything you can own view, which says very detailed, you can learn about, please indicate the copyright.)

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this code about BP neural network trained by PSO algorithm