image-coding

说明：  在MATLAB上编程 用R-K法解一次导数方程 有详细的注释(Programming in MATLAB with the RK Law on the first derivative of equation solution with detailed notes)

说明：  matlab实现9/7双正交小波变换，将图像分解到频域(matlab realize 9/7 biorthogonal wavelet transform, the image is decomposed into the frequency domain)

里面有灰色预测模型的matlab程序，只需输入数据即可，调试成功，可运行。(There are gray prediction model matlab program, you can simply enter the data, debugging success, can be run.)

电机的matlab利用Simpower system调试，包含40多个例子，可以参考学习(Motor Matlab using Simpower system debugging, contains more than 40 examples, you can refer to learning )

Data Analysis，matlab数据分析教材，英文版本，是一本比较新的资料(Data Analysis, matlab data analysis textbook English versions, is a relatively new information)

信号检测与估计课程设计，matlab仿真(Signal detection and estimation curriculum design, matlab simulation)

先进PID控制MATLAB仿真(第3版), 作者: 刘金琨,2、3部分源码(Advanced PID control MATLAB simulation (3rd edition), Author: Jinkun, 2,3 some source)

一连续平稳的随机信号x(t)，自相关函数RX(t)=e-/t/，信号x(t)为加性噪声所干扰，噪声是白噪声，测量值的离散值Z(k)为已知，TS=0.02s。 -3.2，-0.8，-14，-16，-17，-18，-3.3，-2.4， -18，-0.3，-0.4，-0.8，-19，-2.0，-1.2，-11，-14，-0.9，0.8，10，0.2，0.5，-0.5，2.4，-0.5，0.5，-13，0.5，10，-12，0.5，-0.6，-15，-0.7，15，0.5，-0.7，-2.0，-19，-17，-11，-14。 自编卡尔曼滤波递推程序，估计信号x(t)的波形。(A continuous stationary random signal x (t), the autocorrelation function RX (t) = e-/ t /, the signal x (t) is additive noise of the interference, noise is white noise, the measured value of the discrete values ​ ​ Z (k ) are known, TS = 0.02s. -3.2,-0.8,-14,-16,-17,-18,-3.3,-2.4,-18,-0.3,-0.4,-0.8,-19,-2.0,-1.2,-11,-14 ,-0.9,0.8,10,0.2,0.5,-0.5,2.4,-0.5,0.5,-13,0.5,10,-12,0.5,-0.6,-15,-0.7,15,0.5,-0.7,-2.0,-19,-17,-11,-14. Self Kalman filter recursive procedure, the estimated signal x (t) waveform.)

说明：  基于多目标优化问题的改进蚁群算法的设计描述(Improved Ant Colony Algorithm design description based on the multi-objective optimization problem)

此程序实现图像的算法处理等，其中包括处理中的各种经典图片，一定对大家有帮助。(This program implementing the image processing algorithms, including the handling of the various classic pictures, will certainly be helpful to everyone)