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fangzhen

于 2020-12-15 发布文件大小:241KB

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下载积分: 1 下载次数: 46

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代码说明：

基于模糊控制的MATLAB避障算法，课设内容，最后效果还不错。(Based on the fuzzy control of MATLAB obstacle avoidance algorithm, teaching content, the final effect is not bad.)

文件列表：

fangzhen
........\fuzzy
........\.....\CheckIsBlocked.asv,709,2011-12-23
........\.....\CheckIsBlocked.m,939,2011-12-24
........\.....\DistOfDot2Cirs.m,212,2011-12-20
........\.....\DotLineDist.m,210,2011-12-16
........\.....\DotRotWithAngel.m,141,2011-12-22
........\.....\FuzzyTheData.m,152,2011-12-24
........\.....\GetMinDistance.asv,5772,2011-12-22
........\.....\GetMinDistance.m,5175,2011-12-22
........\.....\GetNewLineAngle.asv,304,2011-12-23
........\.....\GetNewLineAngle.m,304,2011-12-23
........\.....\GetNewLineKBF.asv,546,2011-12-22
........\.....\GetNewLineKBF.m,651,2011-12-23
........\.....\GetOutBlocked.asv,772,2011-12-25
........\.....\GetOutBlocked.m,794,2011-12-25
........\.....\GetPosOutBarCir.asv,872,2011-12-20
........\.....\GetPosOutBarCir.m,1184,2011-12-24
........\.....\GetPosWithAngelAndDistance.asv,1868,2011-12-22
........\.....\GetPosWithAngelAndDistance.m,1864,2011-12-22
........\.....\GetTri.asv,239,2011-12-22
........\.....\GetTriDistance.asv,5052,2011-12-22
........\.....\GetTriDistance.m,5106,2011-12-22
........\.....\GetTriMinDistWithGoalPos.m,1586,2011-12-24
........\.....\lillterC.fis,1696,2011-12-23
........\.....\linegram.m,467,2011-12-22
........\.....\PlotCir.m,174,2011-12-19
........\.....\run_fuzzy.m,8670,2015-12-31
........\.....\TwoDotDist.asv,219,2011-12-20
........\.....\TwoDotDist.m,222,2011-12-19

........\readme.txt,210,2015-12-31
........\仿真.docx,126421,2015-12-31

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04
说明：龙格-库塔方法的使用，例子求y’=y-2x/y，y(0)=0。解：输入X0=0，X1=1，H=0.2，N=6。()

2007-09-08 08:47:57下载

积分：1
case10year
长期规划可靠性计算，计算10年的电力系统可靠性代码(reliability assessment)

2013-01-11 18:11:02下载

积分：1
MP_DOA
针对多径效应的影响，提出了一种基于矩阵束的MIMO 雷达低仰角快速估计方法。该方法同时考虑了发射多径信号和接收多径信号，采用单样本数信号矢量构造了一个前后向矩阵束，并利用两个酉矩阵对该矩阵束进行降维处理，最后采用广义特征值分解的总体最小二乘法来估计目标角度。算法不需要估计数据协方差矩阵，可在低信噪比和单样本数情况下，有效地克服多径效应，实现同时多目标低仰角估计，相比最大似然算法，避免了谱峰搜索，计算量小。仿真结果验证了该算法的有效性。(To overcome the multipath effect, a fast algorithm for low elevation estimation for MIMO radar via matrix pencil is proposed. The signals both in transmit multipath and receive multipath are considered. Firstly, a forward-backward matrix pencil is formed based on the single-sampled vector. Secondly, the reduced-dimensional processing is applied to the matrix pencil via two unitary matrices. Finally, the generalized eigen-decomposition is employed to estimate the low elevation in multipath environments directly. Without the covariance matrix estimation, the proposed method can overcome multipath effect effectively in case of low SNR and estimate multi-target simultaneously. Compared with Maximum Likelihood (ML) method, it avoids spectrum peak searching and reduces the computational burden. Numerical results verify the effectiveness of this method)

2011-09-03 10:54:42下载

积分：1
LS6P
最小二乘法(LS)仿真6个参考节点定位一个定位节点，利用RSSI与距离转化的公式求解距离。(Least squares (LS) simulation 6 reference node positioning a positioning node, the use of RSSI and distance into the distance formula to solve.)

2011-11-23 10:14:11下载

积分：1
Rayleigh-wave-exploration-
瑞雷波勘探的书籍，比较清晰的PDF文档，里面含有瑞雷波正演代码，一最小二乘反演代码，对学习瑞雷波非常有帮助。(Rayleigh wave exploration books, clear PDF document, which contains the Rayleigh wave forward code, a least squares inversion code, very helpful for learning Rayleigh wave.)

2013-01-09 18:55:39下载

积分：1
paper1007
利用样本协方差矩阵特征值分解实现双通道SAR动目标检测.pdf(Dual Channels SAR Ground Moving Target Detection with Eigen-decomposition of the Sample Covariance Matrix)

2012-07-29 13:21:49下载

积分：1
thermal-1
说明：用LBM代码编写的由于温差而产生的自然对流小程序(As with the LBM code written in natural convection resulting from temperature applet)

2021-05-15 11:30:02下载

积分：1
1_2_3维均值聚类
说明：简单地实现了一、二、三维的K均值聚类，效果还不错，适合初步学习模式识别的同志们(Simple implementation of one, two, three - dimensional k-means clustering, the effect is not bad, it is suitable for the initial learning pattern recognition comrades)

2020-07-02 04:00:01下载

积分：1
SVD
％奇异值分解 (sigular value decomposition,SVD) 是另一种正交矩阵分解法；SVD是最可靠的分解法，％但是它比QR 分解法要花上近十倍的计算时间。[U,S,V]=svd(A)，其中U和V代表二个相互正交矩阵，％而S代表一对角矩阵。和QR分解法相同者，原矩阵A不必为正方矩阵。％使用SVD分解法的用途是解最小平方误差法和数据压缩。用svd分解法解线性方程组，在Quke2中就用这个来计算图形信息，性能相当的好。在计算线性方程组时，一些不能分解的矩阵或者严重病态矩阵的线性方程都能很好的得到解( Singular value decomposition (sigular value decomposition, SVD) is another orthogonal matrix decomposition method SVD decomposition is the most reliable method, but it takes more than QR decomposition near ten times the computing time. [U, S, V] = svd (A), in which U and V on behalf of two mutually orthogonal matrix, and the S on behalf of a diagonal matrix. And QR decomposition are the same, the original matrix A is no need for the square matrix. The use of SVD decomposition method are used as a solution of least squares error method and data compression. Using SVD decomposition solution of linear equations, in Quke2 on to use this information to calculate the graphics performance quite good. In the calculation of linear equations, some indecomposable matrix or serious pathological matrix of linear equations can be a very good solution)

2020-12-21 10:29:08下载

积分：1
UDF_comfort
用于CFD模拟室内热舒适性，利用用户自定义编写室内热舒适评价指标PMV，对模拟分析结果进行处理，得出室内各处的PMV值。(This is used to simuate indoor thermal comfort performance through CFD.)

2018-10-08 13:15:01下载

积分：1

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