cheaishibie

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)

yNLMS matlab program, you can yse it now.

模拟人的听觉系统，包括外耳-中耳滤波器，听觉滤波器和机电转换的部分。(Simulate the human auditory system, including the outer ear- middle ear filter, auditory filters and electrical conversion section.)

关于GMSK的实验，重点是GMSK调试的方式，写得十分详细，谢谢(GMSK experiment on, the focus is GMSK mode debugging, write very detailed, thank you)

This is the code for kalman fiter, smoothing used in state space model

This is the matlab code of multi class common spatial pattern.

Energy calculation for compression and denoising

Bipolar Puse width modulation

least squares method

为stanford大学donoho教授所编写的redgit变换源代码。是用c编写的，但已转化至matlab环境使用。(For stanford university, prepared by Professor Donoho redgit transform the source code. C is prepared, it has been transformed to use the matlab environment.)