maple-tutorials

CPM调制的线性均衡器，使用维特比判决器进行判决。(CPM modulation linear equalizer, the use of Viterbi browser sentencing verdict.)

通过仿真,分析了多径效应和多普勒效应的原理.并给出了移动信道的建模方案和程序.每个结论都给出了仿真程序可直接运行.(through simulation, Analysis of the multi-path effects and the principle of Doppler effect. and gives the mobile channel modeling programs and procedures. Conclusion gave each a simulation program can run.)

LMS算法（已调试通过了，试试就知道了）(LMS algorithm (has debug adopted, try to know))

将一个小波结构的矩阵反排成小波包结构矩阵，根据最高的分解层次，将原图3*level+1块分开赋给矩阵以便单独操作，按从上到下，从左到右的顺序(Anti-matrix of a wavelet structure arranged in wavelet packet structure matrix, according to the highest level of decomposition, the original 3* level+1 separate assigned to the matrix in order to operate independently from top to bottom, left to right order)

APG 算法实现核函数相关模式问题，发上来分享。大家可以试试！(Accelerated Proximal Gradient Algorithm for Nuclear Norm Regularized Least Squares problems)

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

a project for pattern classification by ART neural network (with GUI).

雷达系统设计matlab仿真，代码，美国：Bassem R.Mahafza著(Radar system design matlab simulation code, USA: Bassem R.Mahafza the)

cuk电路的MATLAB仿真。非常适合学习。。。。。。(the circuit of cuk)

Contourlet变换的Matlab工具箱(Coutourlet Transformation Toolbox in Matlab platform)