BP

我的学习经验，一种自适应分频及分频方法的实现，很好用的哦(my learning experience, an adaptive frequency-frequency method and the realization of the good, oh )

Kalman Filters for Reducing Error in RFID Real-Time Localization Systems

this source is very helpfull for technology student, who is the first in programming with matlab,

Matlab coding for Image compression and decompression usning neural network back propagation techniques

基于MATLAB图像处理技术随书源代码第9章(MATLAB-based image processing technology with the book source code Chapter 9)

说明：  卡尔曼滤波器，可以对所得到的数据进行平滑，matlab源码(Kalman filter can be obtained by smoothing the data, matlab source)

System will automatically delete the directory of debug and release, so please do not put files on these two directory.

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)

Subband based Speech Coding written in MATLAB

两路独立并联输入的Boost升压，提供给需要的朋友(Boost boost, providing two independent parallel input to a friend in need)