Population-projections-matlab

说明：  QPSK解调的 MATLAB 实现 包括原chengxu和仿真(QPSK demodulation of the MATLAB implementation)

元胞自动机的 经典的 算法 ，元胞自动机的经典生命函数的源程序。(Cellular automata classical algorithm, cellular automata classic life function the source program. )

轴承寿命计算包括 深沟球轴承、圆锥滚子轴承、角接触球轴承三种(Bearing life calculation including deep groove ball bearings, tapered roller bearings, angular contact ball bearings three kinds)

利用prony算法提取信号的幅值、频率和衰减因子，删除了mathworks工具包中的bug(The Prony algorithm is used to extract the amplitude, frequency and attenuation factor of the signal, and the bugs in the MathWorks toolkit are deleted.)

说明：  利用Matlab的simulink功能创建的buck型同步整流DC-DC转换器电压控制仿真(Voltage control simulation of Buck synchronous rectifier DC-DC converter based on Simulink function of MATLAB)

刘金琨编写的《滑模变结构控制matlab仿真》的源代码(Liu Jinkun prepared by the " sliding mode control simulation matlab" source code)

反应扩散方程 捕食者捕食模型 HOlling模型(Reaction-diffusion equation model of predator prey model HOlling)

计算成组滑动的滑窗检测器的最佳门限已知: 击中数N = 128, 组宽n = 8，PF = 10¡ 6，PD = 90 假设以下条件: (a) 信号不起伏 (b) 忽略天线波束调制 1 (c) 计算PD时忽略目标区以外噪声的影响 组门限(第二门限)为K=8 滑窗的门限(第三门限)为L=16 (滑窗中包含的组数为16) 求解: 最佳的KOPT 和LOPT，对这题做了具体仿真实现。需要的朋友，一定知道很有用。(Optimal threshold calculated as group slidable window detector is known: hit number N = 128, the group width n = 8, PF = 106, PD = 90 assuming the following conditions: (a) signal is not undulation ( b) ignore the antenna beam modulation 1 (c) the calculation of PD ignored outside the target area noise of impact group door limit (the second door limit) for K = 8 sliding window of the door limit (third door limit) for L = 16 (sliding window contains group 16) to solve: the best of the KOPT the LOPT, these questions do specific simulation to achieve. A friend in need, we must know to be useful.)

信号处理，仿真模拟简单的信号传输，是一个简单的实例(It consists of a core program, which provides basic functions for mathematical computation and graphics, and various specific toolboxes providing specialised functions for various fields of engineering such as control systems and signal processing. We use Matlab for computer added learning for this project.)

数字信号处理源代码，清华大学数字信号处理研究生教材课后习题代码(Digital signal processing source code, digital signal processing, Tsinghua University graduate teaching after-school exercise code)