OLDA

decription system photo

RC2 Parameter Spec implements Algorithm Parameter Spec.

自适应信号处理的几个程序，有LMS、NLMS、RLS算法，和几个自适应的例子。(Several adaptive signal processing procedures, LMS, NLMS, RLS algorithm, and several examples of adaptive.)

在vc.net 2003中调用Matlab Builder生成的COM组件，与2005中有所不同。(in vc.net 2003 Calling Matlab Builder generated COM, 2005 was somewhat different.)

Matlab/Simulink模型单相逆变器，实现DC/AC的电力变换功能，电压幅值为311V，频率为50Hz。(Matlab/Simulink model of the single-phase inverters to achieve DC/AC power conversion function, the voltage amplitude of 311V, frequency is 50Hz.)

说明：  车牌识别程序，结合C++和MATLAB语言编写。在雨天、或光线不足时保持高识别率。(License plate recognition program, combined with C++ and MATLAB language. In the rain, or light enough to maintain a high recognition rate.)

knn 只是个函数实现 需要其它函数的引用(k-nearest neighbor u need to import this function to other functions to run it)

本matlab函数，利用混沌映射不可预测性，遍历性和敏感性，以它们的参数和初始值的优异特性的，实现一个图像加密算法。我们引入了一个新的二维logistics函数。与现有的混沌映射相比，它具有更广泛的范围内混乱，更好的遍历性，混沌性和relativelylow实施成本。为了研究及其应用，我们提出了一个之乱转换（CMT），以有效地改变图像的像素位置。结合2D-logistics与CMT，我们进一步实现图像加密算法。(In this matlab test,we use the chastic s excellent properties of unpredictability, ergodicity and sensitivity to their parameters and initial values, chaotic maps are widely used in security applications. In this paper, we introduce a new two-dimensional Sine Logistic modulation map (2D-SLMM) which is derived the Logistic and Sine maps. Compared with existing chaotic maps,it has the wider chaotic range, better ergodicity, hyperchaotic property and relativelylow implementation cost. To investigate its applications, we propose a chaotic magic trans-form (CMT) to efficiently change the image pixel positions. Combining 2D-SLMM with CMT, we further introduce a new image encryption algorithm. )

matlab仿真命令集 包括仿真命令、线性化和整理命令、构建模型命令等(Matlab simulation command set includes orders simulation, linear and finishing order, constructing model orders)

通过引入7种加权函数实现信号中的时延估计，为广义互相关法(By introducing seven kinds of weighting functions for signal delay estimation, generalized correlation method)