DPARSF_V2.0_110505

It is Radar System design and signal prcessing code based on standard algorithm .this is vey important for biggener those who are working on Radar signal processing area.This code contain various chapter. this is basically chapter No5

利用DCT域进行扩频水印的嵌入,含实验图像，和各种经典的攻击方式。可选择嵌入强度和攻击强度。利用Matlab编写(DCT domain using spread-spectrum watermark embedding, with the experimental images, and various classical attacks. The option embedded in the strength and intensity of attacks. Prepared using Matlab)

matlab实现微波领域的几个参考例子。对于微波电路的基础仿真提高源代码参考。(Matlab achieve microwave field of several examples. On the basis of microwave circuit simulation to improve source code reference.)

this is a model of fuel cell

數位影像處理作業 noise filter (Digital Image Process Noise filter)

异步电机的直接转矩控制，磁链为六边形磁链，仿真环境为mtlab。(Asynchronous motor direct torque control, flux hexagonal flux, simulation environment is mtlab.)

适合任何信号的模糊函数的画法。运行时要明白要要输入的那几个字母的实际含义。首先要将你的信号进行离散化，Signal elements（u_basic）就是你的信号矢量。Frequency coding in units of 1/tb你信号的采样频率，Over sampling ratio表示要满足采样定理（采样频率大于两边以上信号最高频率），其他的直接翻译过来就可以了 (Ambiguity function for any signal of painting. Run-time to understand that to enter a few letters to the actual meaning. First, you want to discrete signals, Signal elements (u_basic) is your signal vector. Frequency coding in units of 1/tb your signal sampling frequency, Over sampling ratio that should satisfy the sampling theorem (sampling frequency is greater than the highest frequency signal on both sides of the above), the other can be directly translated to the)

电梯控制模型的搭建,可生成对应的HDL代码(elevator control)

matlab中的emd分解实例程序，程序简单易懂，无错误，复制可用(Examples of emd decomposition matlab program, the program is simple to understand, error-free, copy available)

自适应中的牛顿法。结论，当u靠近0.5时，wk 迅速增加到最佳权， 当u小于0.5时，wk 沿着一个方向单向靠近最佳权；u大于0.5时wk沿着起始点指向最佳权的方向左右振荡并向最佳权收敛 ！ (The Newton method adaptive. Conclusion, when u close to 0.5, wk quickly right to the best, when u is less than 0.5, wk along the a direction close to the best the right way u greater than 0.5 wk point along the starting point about the best direction for the right to the right of oscillation and convergence of the best!)