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进行Visualization_4d it is very cool(complete Visualization_4d it is very cool)

图像识别概述统计模式的识别方法、结构语句的识别方法、模糊集识别法、神经网络识别法等(Image recognition methods outlined in the statistical model identification, structure identification method statements, fuzzy set identification method, neural network identification method, etc.)

creat text file in matlab for example you can export your result in txt format

This is source code concerning with chapter 4 of DIP book

i am testing. pls check and try to know clearly about this code

1、系统仅处于训练状态。训练序列为2cos(2π×f1×n/fs)， 干扰为sin(2π×f2×n/fs)；序列长度为100个样点。 其中n=0…99，f1=1kHz，f2=2kHz，fs=8kHz。 2、采用LMS算法，均衡器输入为训练序列加上干扰，均衡器阶数为21阶，步长因子β=0.01。 3、在Matlab中编写浮点LMS算法，绘制均衡器的输出波形，并与训练序列进行对比。 (1, the system only in the training status. The training sequence is 2cos (2πf1n/fs), interference sin (2πf2n/fs) sequence length of 100 samples. Where n = 0 ... 99, f1 = 1kHz, f2 = 2kHz, fs = 8kHz. 2, using LMS algorithm, the input to the equalizer training sequence plus interference equalizer order is 21 bands, step factor β = 0.01. 3, the preparation of the floating-point LMS algorithm in Matlab, draw the output waveform equalizer, and with the training sequence comparison.)

matlab中基于模拟退火法的粒子群BP神经网络计算程序(matlab simulated annealing method based on BP neural network computing PSO program)

本程序介绍了卡尔曼滤波器在雷达跟踪问题上的应用。通过对雷达测得的距离及方位角参数的估计和预测，较好地实现了雷达对目标的跟踪，说明卡尔曼滤波器在自主或协助导航领域中具有重要的现实意义。(This procedure describes the radar tracking Kalman filter in question on the application. Measured by radar distance and azimuth parameter estimation and forecasting, to better achieve the target tracking radar, indicating the Kalman filter in autonomous or assisted navigation has important practical significance.)

tutorial MATLAB part4

声场计算模型for3d的in文件写入，仅供参考(to write the in-file that the for3d programme need.)