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gabor_face
this code implement a new face recognition method
- 2010-10-27 17:28:28下载
- 积分：1
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rk
说明： 用四阶古典RK方法解初值问题：
取h=1/8。每隔8步打印出数值解与真解的值（u(t)=(t^2)/2-t），画出它们的大致图像，并对产生的结果做出解释。
(with four bands classical RK method for initial value problems : from h = 1/8. Every eight-step numerical solution print and in the true value (u (t) = (t ^ 2)/2-t), they generally draw the images, as well as the results of an explanation.)
- 2006-05-27 00:07:17下载
- 积分：1
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Fourth-order-cumulant-based-MUSIC
说明： 基于四阶累积量的MUSIC算法，内有注释(Fourth-order cumulant-based MUSIC algorithm, the annotated)
- 2020-09-01 15:08:10下载
- 积分：1
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Project2
PSK QPSK modulaltions
- 2011-10-01 14:25:57下载
- 积分：1
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OFDMChEstAlgLSE
OFDM channel using LMS
- 2013-11-18 23:11:30下载
- 积分：1
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db
说明： code matlab fingerprint recognition
- 2009-12-22 00:39:44下载
- 积分：1
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a
说明： 汽车课设货车Matlab驱动力图程序(需要修改发动机扭矩转速和变速箱传动比)(A car driver tries to class van Matlab program (need to modify engine speed and torque transmission ratio))
- 2012-05-16 20:21:03下载
- 积分：1
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L1_Tracking_v4_release
该程序将计算机视觉的目标跟踪问题转化为寻找稀疏矩阵的过程，将预先的得到的样本粒子与稀疏矩阵线性相乘得到目标(The program will target tracking in computer vision into the process of finding a sparse matrix, the sample will be obtained in advance of the particles multiplied with the goal of sparse linear)
- 2011-06-25 15:13:30下载
- 积分：1
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demo_nnls
PLS - DN是一个有限的牛顿为解决非退化的分段线性系统的算法。 PLS - DN的展品可证明半迭代
财产即在全球范围内的精确解在有限数量的迭代算法收敛。被证明是收敛速度
至少前终止线性。
广泛的算法是在我们的AISTATS 2011纸描述：“一个非退化的分段线性系统的有限牛顿算法”。此演示包重新运行
在解决非负最小二乘法（NNLS）问题上的三个稀疏的设计矩阵，从哈威尔波音收集（达夫等人，1989年）第4.2节的实验。
随着PLS - DN，此演示包建议实施五
其他NNLS求解：LCP_Fisher_Newton，LCP_Lemke，PQN，TRESNEI，和SCD
(PLS- DN is a finite non-degenerate Newton to solve the piecewise linear system algorithms. PLS- DN exhibits semi-iterative property to prove that the exact solutions worldwide in a limited number of iterative convergence. Proved to be terminated before the linear convergence rate at least. A wide range of algorithms in our AISTATS 2011 paper describes: " a non-degenerate sub-linear systems with limited Newton algorithm." This demo package to re-run in the settlement of non-negative least squares (NNLS) on the design of the three sparse matrices from the Harwell Boeing collection (Duff et al, 1989) Section 4.2 of the experiment. With PLS- DN, this demonstrates the implementation of five other NNLS package proposed solution: LCP_Fisher_Newton, LCP_Lemke, PQN, TRESNEI, and SCD)
- 2011-08-26 19:04:22下载
- 积分：1
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lmax
find the local maximum of the data, and filter high frequency signal.
- 2012-07-09 20:19:22下载
- 积分：1
