BP2Aperture

关于matlab的程序，希望对大家有用，谢谢(matlab )

说明：  Fuzzy C-means algorithm for clustering a data set

黄锷院士的EMD/EEMD程序，可实现EMD/EEMD 计算(Wong Ngok academicians EMD/EEMD procedure can achieve EMD/EEMD calculation)

这段程序是披萨伦科谐波分解的程序，包括频率估计和幅度估计(This program is piaLunke procedures, including frequency estimation and magnitude estimation)

Normalized cut code in matlab (Normalized cut code in Matlab)

生成oil价格仿真数据，用于模型辨识，参数辨识的验证(Oil prices to generate simulation data for model identification, parameter identification verification)

单载波频域均衡的完全编码，包括了调制解调，独特字，传输模拟，信道估计，频域均衡器设计等等完全的理论。(Single-carrier frequency domain equalization, including modulation/demodulation, unique words, transmission simulation, channel estimation, frequency-domain-equalizer design, etc.)

Surfer是地学中常用的一个软件，可以完成等值线图，立体图，流向图等的汇制。其自带的类VBA的开发语言，可以进行二次开发。附件是一些源程序。其中的Jackknifes可以用来对比不同的内差方法，从而得出最优化的内差方法。 (Surfer is the study of a commonly used software, complete contour map, a three-dimensional map, map the flow of the system. Its built-in categories VBA programming languages that can be re-developed. Annex some source. Jackknifes which can be used for comparison within the poor, so as to come up with the most optimal way worse.)

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)

to encode an LDPC code