jisuanqi

Direct Adaptive Control Algorithms：Theory and Application

我的毕业设计用matlab仿真mimo系统的，很重要算不同信噪比下的信道容量(I graduated from the design with the matlab simulation MIMO system, it is important to count the channel capacity under different signal-to-noise ratio)

用matlab的9个编程例子附程序，可以更好的理解掌握MATLAB，供大家学习与交流。(9 programming example attached matlab program, you can better understand and grasp the MATLAB for everyone to learn and exchange.)

比较简单易懂的cacfar单元平均恒虚警检测方法(Relatively straightforward cacfar cell averaging CFAR detection method)

CA code generator for gps

simulation of electromagnetic by 1d FDTD

Parallel image filtering test

在matlab中运用到的所有命令，可以帮助对其中的一些已有模块的函数进行了解(in using Matlab to all orders can help some of these modules has been carried out to understand the function)

The optimization behavior of the self-adaptation (SA) evolution strategy (ES) with intermediate multirecombination (the (=I )-SA-ES) using isotropic mutations is investigated on the general elliptic objective function. An asymptotically exact quadratic progress rate formula is derived. This is used to model the dynamical ES system by a set of difference equations. The solutions of this system are used to analytically calculate the optimal learning parameter  . The theoretical results are compared and validated by comparison with real (=I )-SA-ES runs on typical elliptic test model cases. The theoretical results clearly indicate that using a model-independent learning parameter  leads to suboptimal performance of the (=I )-SA-ES on objective functions with changing local condition numbers as often encountered in practical problems with complex fitness landscapes.

广义预测控制里，对象参数未知条件下的GPC自适应算法(Generalized predictive control, the object under unknown parameters of GPC adaptive algorithm)