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UTV工具包提供46个Matlab函数，用于计算和修改秩显URV和UTV分解,总称为UTV分解． (UTV Toolkit provides 46 Matlab function, used to calculate and modify the rank significantly URV and UTV decomposition, with a total known as UTV decomposition.)

数据拟合在matlab环境下的gui中进行设计，显示拟合系数和拟合图像。(Data fitting in the gui in matlab environment design, display fitting coefficients and fitting the image.)

DRNN网络简单代码，n个样本个数，输出为权值矩阵(DRNN network of simple code, n the number of samples, the output weight matrix)

对地震剖面图求出某一区域的外源干扰的公式(The seismic cross-sectional view obtained in a region of exogenous interference formula)

说明：  大量office学习文档，希望对大家有帮助，谢谢支持(Study documents a large number of office, we want to help, thank you support)

多径无线信道在时域的建模仿真，很有参考价值(Multi-path wireless channel modeling in the time domain simulation of great reference value)

efg source code 1 dimension

This is toolkit for exact local whittle estimator of degree of fractional integration. Detailed description is included in the .zip file.

ofdm关键技术在matlab中的实现，毕业设计论文(ofdm in matlab implementation)

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)