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nijie
六轴工业机器人的逆运动学,采用VC++进行编程自动求解(inverse of 6-dof industrial robot)
- 2020-12-25 12:19:04下载
- 积分：1
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PANair
面元法程序，用于计算飞行器气动力、气动力矩系数。(panel code for aero calculation.)
- 2020-11-21 11:39:36下载
- 积分：1
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C-means
说明： C-means in 2 types. C=2
- 2020-06-16 02:00:01下载
- 积分：1
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TC
说明： 非常好的地形改正程序，只需要有点位的经纬度，重力值和高程，内附例子和说明。(Program to compute terrain effects on gravimetric quantities.various modes of terrain effects may be computed)
- 2010-06-30 17:29:28下载
- 积分：1
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PAST2
基于投影逼近的子空间跟踪（PAST）方法，用于自适应盲信号分离(Based on the projection approximation subspace tracking (PAST) method for adaptive blind signal separation)
- 2009-05-13 15:44:12下载
- 积分：1
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FFT_16pt
说明： 利用MATLAB实现了16位快速傅立叶变换，并与自包含函数进行了比较。(The 16-bit Fast Fourier Transform is realized by using MATLAB and compared with the self-contained function.)
- 2020-06-18 10:40:02下载
- 积分：1
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1t2r
mimo系统中在高信噪比下，一个发射天线，两个接收天线的性能仿真。(mimo systems at high signal to noise ratio, a transmitting antenna, two receive antenna performance simulation.)
- 2011-04-26 19:49:23下载
- 积分：1
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最速下降法
说明： 最优化课程中的最速下降法matlab程序，利用了wolfe搜索和armijo线搜索(Matlab program of steepest descent method in optimization course, using Wolfe search and Armijo line search)
- 2021-03-26 18:19:13下载
- 积分：1
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EM-and-antenna-field
该文件解决了电磁场和天线问题计算当中的近远场转换的问题，它也可以应用在一般散射问题的求解中。(this file contains an algorithm that could solve problems within the EM and antenna near to far field questions. Also, it could be used in general scattering problems.)
- 2012-11-20 16:07:13下载
- 积分：1
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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
