MDL_segmenter

设计一个matlab雷达信号仿真界面程序。（提示：例如可以根据选择产生一个不同类型噪声（均匀分布、高斯分布等类型），并在界面中显示该噪声时域图形，并能根据要求画出该噪声的自相关、FFT等信号处理后的结果。）(Design a matlab radar simulation interface program. (Hint: for example, can choose to generate a different type of noise (uniform distribution, Gaussian distribution type), and the noise in the interface displays the time domain graph, and can draw upon request of the noise autocorrelation, FFT and other signal processing the results.))

拉格朗日插值多项式拟合,牛顿插值多项式,欧拉方程解偏微分方程,使用极限微分求解导数（微分）,微分方程组的N=4龙格库塔解法,雅可比爹迭代法解方程AX=B,最小二乘多项式拟合,组合辛普生公式求解积分,用三角分解法解方程AX=B(Lagrange interpolation polynomial fitting, polynomial interpolation Newton, Euler equations partial differential equations, Limit the use of derivative solving differential (differential), the equations of N = 4 Runge- Kutta method. Jacobian Davis iterative method of solving equations AX = B, least squares polynomial fitting, portfolio Simpson formula for integration, with a triangular decomposition method of solving equations AX = B. )

利用文中命令码，可以在ANSYS中实现如何输入地震波，这对结构动力分析非常重要！(Using text command code, can be implemented in ANSYS how to input seismic wave, which is very important for structural dynamic analysis!)

说明：  matlab图像处理基础源码 1、jpeg压缩 2、6个基本图像压缩源码 3、小波源码(Matlab based image processing a source, jpeg compression 2,6 basic image compression source 3, wavelet FOSS)

用LABVIEW进行的实验内容参考书籍虚拟仪器LABVIEW7 EXPRESS程序设计(Experiments carried out with the content LABVIEW virtual instrument LABVIEW7 EXPRESS reference books programming)

MVDR和基于认知的MVDR波束形成的比较(MVDR and cognitive-based MVDR beam formation)

说明：  通用viterbi译码程序,通过改变不同的参数（比如回朔深度），可以进行不同的viterbi译码，(viterbi decode )

本文 重 点 研究单目标跟踪中的三方面主要内容:一、非线性滤波 二、目标运动建模 三、各种探测条件下目标跟踪仿真实验。(This paper focuses on single target tracking in three areas: a nonlinear filtering , target motion modeling Third, a variety of detection under the conditions of the target tracking simulation experiments. )

Finally, probability analysis, based on the chosen database, is performed and judgment whether the person is recognized is pronounced. Two different modeling techniques can be suggested for purposes of person identification or verification. The approach based on Hidden Markov Speaker Models (HMMs) with the mixtures of Gaussian distribution is text-dependent one. For this technology a speaker is described by a set of HMMs, constructing the set of speech groups spoken by that person. The speech groups may be phonemes or words [7]. The text-independent technology is rested upon Gaussian Mixture Speaker Models. For this technology each speaker is defined by only one model describing all utterances of that person. Identification in the range of both approaches is executed by evaluation of maximum a posteriori probability [7].

基于matlab和C++解多平衡节点+普通PQ分解潮流计算问题(Based on matlab and C++ Solution more balanced node+ Ordinary PQ decomposition of power flow calculation problem)