APF

一种改进的差分进化算法，可以显示收敛曲线(An improved differential evolution algorithm)

说明：  基于广义旁瓣相消器的自适应阵列处理（GSC）很好的解释了最优波束形成器的干扰抑制原理。(generalized sidelobe cancellation of jamming)

这是AR，MA，ARMA模型和仿真程序，希望对大家的学习有帮助！(This is the AR, MA, ARMA modeling and simulation program, and they hope to have helped everyone to learn!)

说明：  很不错的基础教程，英文版的，是文字排版，非扫描的，非常清晰。(Very good basic tutorial, the English version, text typesetting, non scanning, very clear.)

平均电流控制的PFC，模拟，复频域传函实现(Average current control PFC)

说明：  提取信号七个基于瞬时信息的特征：零中心归一化瞬时幅度功率谱密度的最大值,零中心归一化瞬时幅度绝对值的标准偏差，零中心非弱信号段瞬时相位非线性分量绝对值标准偏差，零中心非弱信号段瞬时相位非线性分量标准偏差，零中心归一化的非弱信号段瞬时频率绝对值的标准偏差，一个信号段的归一化瞬时频率功率谱密度的最大值，根据信号 QPSK 和16QAM在 XI 轴投影的不同表现，提出特征参数。(Extraction based on instantaneous information signal of seven characteristics: zero center normalized instantaneous amplitude of the maximum power spectral density, zero-center normalized standard deviation of the instantaneous rate of absolute zero center section of non-weak signal instantaneous phase nonlinear component absolute value of standard deviation, non-zero center section of the weak signal non-linear component of the standard deviation of the instantaneous phase, zero-center non-normalized absolute value of the weak signal section of the standard deviation of the instantaneous frequency of a signal segment of the normalized power spectral density of instantaneous frequency maximum, according to the signal QPSK and 16QAM in the XI-axis projection of the different performance of the proposed characteristic parameters.)

我最近在研究frft-分数阶傅里叶变换的数值计算问题，主要是Ozaktas提出的采样型算法，以及Pei 等提出的采样型算法。(I have recently studied the numerical computation of frft- fractional Fourier transform, mainly the sampling algorithm proposed by Ozaktas, and the sampling algorithm proposed by Pei.)

说明：  课本所有章节的代码，对应课本每章节每个案例代码均有，可以放心使用(Code for all chapters of the textbook)

说明：  MATLAB通信系统建模与仿真（第2版配套资料）(MATLAB communication system modeling and simulation (2nd edition supporting information))

说明：  谭浩强 教材例题程序 每章节的都有(Hao Qiang Example process textbook chapters each have a)