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MATLAB
环境下构建一种新的系统辨识仿真工具箱(SIST: System Identification Toolbox)的原理与实现,讨论了在MATLAB 环境下工具箱的数据和算法结构形式,以及利用GUIDE完成图行界面的设计,用MATLAB 与C++混编技术实现物理系统的I/O 接口和系统辨识... (err)
- 2008-01-21 20:39:23下载
- 积分：1
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S11
旁瓣相消Sidelobe cancellation，抑制杂波，尤其在杂波较信号较强的情况下(Sidelobe cancellation Sidelobe cancellation, clutter suppression, especially in the strong clutter signal where more)
- 2010-05-21 22:59:02下载
- 积分：1
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ProUnit7
矩形序贯，是传统序贯法的一种变异，可以处理一些特殊的多普勒回波(Rectangular sequential, is a variation of the traditional sequential method that can handle some special Doppler echo)
- 2012-07-07 11:43:12下载
- 积分：1
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hrf
It shows the basic shape of a Haemodynamic Response Function (HRF), how to convolve an HRF with a time-series of stimulus onsets in order to produce a predicted fMRI signal, and how to plot the results in Matlab. The program also shows what happens when closely-spaced stimuli produce HRFs which overlap in time and linearly sum.
- 2012-08-07 13:06:40下载
- 积分：1
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dynamic-path-planning
(不错的一篇文章，已被EI收录)模型预测控制（model predictive control，MPC）路径规划算法适用于三维动态环境下的无人机（un-manned aerial vehicle，UAV）路径规划；动态贝叶斯网络（dynamic Bayesian network，DBN）能够有效推理战场态势，对无人机进行威胁评估。针对威胁尾随无人机时的路径规划问题，构建 DBN 威胁评估模型，将 UAV 在战场环境中的威胁态势用威胁等级概率表示，与 MPC 路径规划算法相结合，得到基于 DBN 威胁评估的 MPC UAV 路径规划算法。通过多组仿真分析表明，在三维动态环境下，特别是威胁尾随无人机时，基于 DBN 威胁评估的 MPC无人机路径规划算法可以得到有效的无人机路径。(The model predictive control (MPC)path planning algorithm can solve the problem of dynamic unmanned aerial vehicle (UAV)path planning.Dynamic Bayesian network (DBN)is an effective tool for rea-soning and threat assessment.Considering the problem of path planning when the dynamic threat tags the UAV,the MPC path planning algorithm combined with DBN threat assessment is presented,which used the threat lever probability to describe the threat situation.A group of simulations demonstrate the efficiency of MPC three-dimensional dynamic path planning algorithm for UAV based on DBN threat assessment especially when the dynamic threat tags the UAV.)
- 2021-04-25 15:48:46下载
- 积分：1
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matlab
说明： 算差分盒维数的matlab程序。 让窗口中的每个像素都对分数维作出贡献。首先,计算某一尺度窗口的平均灰度值 ,然后判断每一个像素的灰度 ,若大于灰度平均值 ,则累加其灰度值为 max ,若小于灰度平均值 ,则累加其灰度值为min ,用max 和min代替 在 Sarkar 和 Chaudhuri 算法中的最大值和最小值 ,再通过拟合求出分数维。 (Differential count box dimension matlab program. Let window on the fractal dimension of each pixel to contribute. First, the calculation of an average gray scale of the window, and then determine the gray scale of each pixel, if the intensity is greater than the average, the cumulative value of its gray max, if less than the average gray level, the accumulation of its gray value of min, max and min to use instead of the algorithm in Sarkar and Chaudhuri maximum and minimum, and then by fitting the calculated fractal dimension.)
- 2010-04-13 00:46:08下载
- 积分：1
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canon
用matlab编辑出卡农的音乐，还不错，可以听的(Matlab edit Canon music is pretty good, you can listen to)
- 2013-03-23 16:03:48下载
- 积分：1
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broadband-beamforming
broadband beamforming,
- 2011-11-06 15:15:08下载
- 积分：1
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anp
NP是美国匹兹堡大学的T.L.Saaty 教授于1996年提出了一种适应非独立的递阶层次结构的决策方法，它是在网络分析法（AHP）基础上发展而形成的一种新的实用决策方法。其关键步骤有以下几个：
1 确定因素，并建立网络层和控制层模型。
2 创建比较矩阵。
3 按照指标类型针对每列进行规范化。
4 求出每个比较矩阵的最大特征值和对应的特征向量。
5 一致性检验。如果不满足，则调整相应的比较矩阵中的元素。
6 将各个特征向量单位化(归一化)，组成判断矩阵。
7 将控制层的判断矩阵和网络层的判断矩阵相乘，得到加权超矩阵。
8 将加权超矩阵单位化(归一化)，求其K次幂收敛时的矩阵。其中第j列就是网络层中各元素对于元素j的极限排序向量。
(NP is a professor at the University of Pittsburgh TLSaaty presented in 1996, an adaptation of non-independent Hierarchy of decision-making method, which is the analytic network process (AHP) formed on the basis of the development of a new and practical decision-making method . The key steps are the following:
A determining factor, and a network layer and control layer model.
2 create a comparison matrix.
For each of the three types of indicators in accordance with normalized columns.
4 find the maximum for each comparison matrix eigenvalue and the corresponding eigenvectors.
5 consistency test. If not satisfied, then the comparison to adjust the corresponding matrix elements.
6 will each feature vector units of (normalized), to determine the composition of matrix.
7 to determine the control layer and network layer to determine matrix matrix multiplication, to be weighted super-matrix.
8 of the weighted super-matrix units of (normalized), seeking the powe)
- 2010-01-28 09:36:45下载
- 积分：1
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Pattern_Classification_CH
模式识别经典书籍，模式识别工具书必备之一(Pattern Classification CH)
- 2012-03-22 17:58:19下载
- 积分：1
