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说明：  在灰度范围[100,200]内显示图像，以灰度等级20显示图像(In gray-scale range of [100,200] display image to 20 gray levels display images)

自适应滤波存在于信号处理、控制、图像处理等许多不同领域，它是一种智能更有针对性的滤波方法，通常用于去噪。(Adaptive filtering exists in many different fields such as signal processing, control, image processing and so on. It is an intelligent and more targeted filtering method, usually used for denoising.)

《射频电路设计——理论与应用》一书课后习题第二章Matlab程序代码("RF circuit design-- Theory and Application," a book OSCAR Exercise second chapter Matlab code)

通信系统的matlab仿真程序，给出了大量可用的函数。(communication system simulation program Matlab, given the large number of functions available.)

历届数学建模大赛的MATLAB的M文件，较为齐全。(Past mathematical modeling contest MATLAB M-files is complete.)

Straight参数提取，主要用于语音处理的特征信号处理(Straight extraction is mainly used for processing the speech characteristic signal processing)

matlab 蚁群算法算法 matlab代码(matlab matlab code ant colony algorithm)

Codes for Histogram_Equalization Algorithm, without using matlab embedded function.

basics of matlab-easy to learn

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)