model-of-optical-fiber-

In this directory, we can find the eleven files. The relationship between file name and the number of program written in the book is shown in as follows.

数字语音处理及MATLAB仿真[张雪英][程序源代码](source code of Digital Speech Processing written by xueying zhang)

飞行器纵向3自由度非线性动力学模型的线性化(Aircraft vertical 3-DOF nonlinear dynamic model linearization)

一种新的协同进化优化算法处理图像的方法，很好，能运行！！( A new coordination method, image processing algorithm in evolutionary optimization is very good, can run )

《自适应滤波器》第五章代码，很详细，值得推荐(Chapter adaptive filter code, very detailed)

无迹卡尔曼滤波用于车辆中跟踪定位，匀速直线运动(Trackless Kalman Filter for Tracking and Locating in Vehicles and Uniform Linear Motion)

This Matlab Source File will help you understand BER of bpsk, qpsk, 8psk

T=[1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1] 输入向量的最大值和最小值 threshold=[0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1] net=newff(threshold,[31 3],{ tansig , logsig }, trainlm ) 训练次数为1000，训练目标为0.01，学习速率为0.1 net.trainParam.epochs=1000 net.trainParam.goal=0.01 LP.lr=0.1 net = train(net,P,T) 测试数据，和训练数据不一致 P_test=[0.2101 0.0950 0.1298 0.1359 0.2601 0.1001 0.0753 0.0890 0.0389 0.1451 0.0128 0.1590 0.2452 0.0512 0.1319 0.2593 0.1800 0.0711 0.2801 0.1501 0.1298 0.1001 0.1891 0.2531 0.0875 0.0058 0.1803 0.0992 0.0802 0.1002 (T = [1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1] ' of the maximum and minimum input vector threshold = [0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1] net = newff (threshold, [31 3], {' tansig' , ' logsig' }, ' trainlm' ) training times for the 1000 target of 0.01 training, learning rate of 0.1 net.trainParam.epochs = 1000 net. trainParam.goal = 0.01 LP.lr = 0.1 net = train (net, P, T) test data, and training data inconsistencies P_test = [0.2101 0.0950 0.1298 0.1359 0.2601 0.1001 0.0753 0.0890 0.0389 0.1451 0.0128 0.1590 0.2452 0.0512 0.1319 0.2593 0.1800 0.0711 0.2801 0.1501 0.1298 0.1001 0.1891 0.2531 0.0875 0.0058 0.1803 0.0992 0.0802 0.1002 )

滑动窗算法，可用于实现动态排序，可应用于航班排序(Sliding window algorithm can be used to achieve dynamic sequencing and can be applied to flight scheduling.)

说明：  利用LMS、NLMS和LLMS算法，在MATLAB中使用麦克风阵列估计声源位置(The location of sound source is estimated using an array of microphones in MATLAB using LMS, NLMS and LLMS algorithms)