SecVibratPSO

这是hosa工具箱中使用各种函数的一些例子或原始数据，对于指导如何使用hosa工具箱中的函数很有帮助。(this is the demo of the matlab toolbox hosa. it s helpful to teach you how to use the functions of hosa toolbox.)

基于Matlab Simulink的脉冲频率调制反馈系统(Pulse Frequency Modulation feedback system based on Matlab Simulink)

ex9_1 脉冲信号调制 ex9_2 载波10MHz，带宽2MHz的线性调频信号及其频谱图 ex9_3 产生7位巴克码编码的二相码 ex9_4 产生7位巴克码和线性调频的混合调制信号 ex9_5 瑞利分布实现程序 ex9_6 瑞利分布＋杂波 ex9_7 相关对数正态分布杂波 ex9_8 相关weibull分布杂波 ex9_9 相干相关K分布杂波 ex9_10 线性调频信号的数字化正交解调 ex9_11 雷达脉冲压缩处理 ex9_12 二相编码信号的脉压处理 ex9_13 用FFT和FIR方法实现MTD处理(程序有错误) ex9_14 雷达的恒虚警处理（CFAR） ex9_15 比较相参积累和非相参积累 ex9_14 计算加性高斯白噪声准则下雷达探测的经典CFAR 二进制检测阈值和指定的虚警概率。 (瑞利噪声下快慢门限CFAR处理)(Ex9_1 pulse signal modulates ex9_2 carrier 10MHz, Linear Frequency Modulation signal of bandwidth 2MHz and its Spectrum Diagram ex9_14 calculation of classical CFAR under additive Gaussian white noise criterion Binary detection threshold and specified false alarm probability. (fast and slow threshold CFAR processing under Riley noise))

This is the cosde for shortest path algorithm

说明：  多目标寻优，本程序主要用于配电网抢修优化(This program is mainly used for distribution network rush repair optimization)

pid自适应控制器学习和程序大家学习，很好用的(点对点)

说明：  4. 试说明卷积编解码的工作原理。请用Simulink仿真卷积编码，并用Viterbi译码的方法进行解码，其中的编码、译码全部是自己编写代码(S-Function方式)，不是调用Simulink的已有编码、译码函数。请在加性白高斯噪声信道中，画出比特信噪比与误码率的关系曲线。(4 Explain the working principle of convolutional encoding and decoding. Please use the Simulink simulation convolutional coding and Viterbi decoding method used to decode, in which the encoding, decoding all write your own code (S-Function mode), instead of calling the Simulink existing encoding and decoding functions. In additive white Gaussian noise channel, signal to noise ratio and bit error rate to draw the curve.)

Matlab code for sequence analysis

controladores por variables de estado

采用多假设检验法实现多目标跟踪，建立了多目标跟踪/视频监控平台，结合卡尔曼滤波预测目标轨迹。用户可以自己修改相关代码。(This code complete multiple object tracking/multiple target tracking/multi target tracking/multi object tracking using multiple hypothesis test/multi hypothesis test, builds up a visual surveillance (video surveillance) system, and explores kalman filter to predict tragectory of objects. Experimental results demonstrate its outperformance. )