MMSE_CE

说明：  线列阵多倍频程宽频带恒定束宽的实现，吴国清的论文(Linear array multi-octave wideband constant beamwidth implementation, Wu Guoqing papers)

若干种r/s估值法源代码，试试看很好用，有没有朋友有其他估值法下的源代码？麻烦上传分享一下，(Number of r/s valuation method source code, give it a try very good, and have no friends there are other valuation method under the source code? From trouble to share,)

content based search of images uisng matlab.

短时傅里叶中通过各种不同的窗来看窗的归一化频率(Short-time Fourier window in the view through a variety of different normalized frequency window)

层次分析法matlab实现，输入判断矩阵，计算权向量并做一致性校验(Level analysis matlab, enter a judgment matrix, and calculate the weight vector and a consistency check)

样本加权模糊聚类，可用于各种功能，只需改变输入即可(Sample weighted fuzzy clustering can be used for various functions, simply by changing the input to)

说明：  关于工程数学应用 的，在Matlab环境下的一些实现(With regard to the application of engineering mathematics, in the Matlab environment to achieve some)

标准的扩展卡尔曼滤波程序文件，直接可用有注释 对于初学者有帮助(Standard extended Kalman filter program files, can be annotated directly helpful for beginners)

利用matlab自带的函数功能，调用摄像头，完成实时追踪人脸的功能(Using the function of MATLAB and calling the camera, the function of real-time face tracking is completed.)

机动目标的跟踪问题一直是人们研究的重点，实现机动目标精确跟踪，首要解决的问题就是使所建立的目标运动模型与实际的目标运动模型匹配。目前常用的有多模型(MM)，交互式多模型(IMM)，切换模型等。多模型方法就是对一组具有不同机动模型分别进行Kalman滤波，最终的参数估计是各滤波器估计值的加权和；在多模型基础上，Shalom提出了交互式多模型方法，这一方法对无序目标的机动检测，显示了更好的鲁棒性和跟踪的稳定性；切换模型则是分别建立机动和非机动运动模型，利用机动检测实现在这两个模型之间的切换。一般来说，交互式多模型的跟踪性能较好。(mobile target tracking problem has been a focus of research and achieve precise maneuvering target tracking, the most pressing issue is to enable the establishment of the target model and the actual movement of the target model matching. At present, more commonly used model (MM), interactive multi-model (IMM), switching model. Multi-model approach is a group of different mobile models were Kalman filtering, The final parameter is the estimated value of the filter is estimated weighted; in the multi-model basis, Shalom made the interactive multi-model approach that the objectives of the motor disorder detection, better show the robustness and stability of the track; switching model is set up motorized and non-motorized sports model, the use of mobile testing to achieve in this model between)