PQ-Fiber_v1.8-open

说明：  可以实现在labview环境下实现FIR滤波器(Labview environment to achieve the FIR filter)

这个是百度云网盘告诉班的,供大家交流使用(this is baidu wangpan de yi ge xia zai)

面向对象技术与方法期末试卷，BIT 2018-2019-1(Object-Oriented Technology and Method Final Examination Paper)

说明：  针对实际对象数学模型不明确而难以控制的问题,采用人工免疫网络的离散模 型与学习算法,将人工免疫系统与神经网络结构的优势相结合,提出了一种基于人工免疫 网络的模式识别算法,构造了对象识别的人工免疫网络模型.该算法综合了网络节点的定 位与参数调整以及对基函数的平滑因子实施调谐等功能,有效地解决了径向基函数 (RBF)神经网络模式识别的两个阶段任务,使模式识别的精度有较大的改进.采用两个不 同对象函数进行的仿真试验表明,该算法具有快速收敛性与较高的准确性. (Mathematical model for the actual object is not clear and difficult to control the problem, the use of artificial immune network model and the discrete learning algorithm, artificial immune systems and neural networks combine the advantages of structure, an artificial immune network based on pattern recognition algorithms, Construction of the object identified by artificial immune network model. the algorithm is a combination of network nodes to adjust the position and parameters as well as the basis function implementation of the smoothing factor, tuning and other functions, to effectively solve the Radial Basis Function (RBF) neural network pattern recognition of two phase of the task, so that the accuracy of pattern recognition have greater improvements. the use of two different object functions of the simulation tests show that the algorithm has fast convergence and higher accuracy.)

直流电路计算公式，硬件设计的好帮手，轻轻松松设计电路-DC circuit formula, hardware design good helper, a light-hearted circuit design

说明：  STM32F103驱动代码 用于学习 希望能帮助到您(STM32F103 Driver Code for Learning Hope to Help You)

说明：  车载储能系统仿真的matlab仿真，用simulink搭的，内容详细很容易理解(Matlab simulation of vehicle energy storage system simulation, built with simulink, the content is detailed and easy to understand)

BASCOM-AVR平台下编写的ATMEGA-64读写FM1702SL的程序()

聚类算法，DBscan，决策树，逻辑回归，svm等机器学习python代码(DBscan python pythonpython Decision Tree Regression Trees)

完成M=4的正交信号的数字通信系统的蒙特卡罗仿真。分析其在加性高斯白噪声下误码率与信噪比之间的关系，绘出误码率-信噪比曲线图，并和物理曲线进行比较。-The completion of M = 4 orthogonal signals in Monte Carlo simulation of digital communication systems. Analysis of the additive white Gaussian noise bit error rate and signal to noise ratio under the relationship between the mapped BER- signal to noise ratio curve, and and physical curves for comparison.