GML_RANSAC_Matlab_Toolbox_0[1].2

最小二乘法形函数及其应用包括函数模拟绘图(the least square )

deep learning一般是学习的层次结构，它也是有一定理论依据的，即模拟人脑的大脑皮层工作，因为大脑皮层的视觉区域也是分层次工作的，越底层的视觉皮层对那些底层特征就越敏感。综上所述，feature learning有这么多应用需求的驱动和生物神经理论上的支持，注定它能够在AI领域中发挥一定的作用。一些实验表明，有些feature learning学习到的特征几乎比所有其它的特征效果要好，比如本文中的ISA模型就是其中一个。(deep learning hierarchy of learning, it is also a certain theoretical basis that simulate the human brain' s cerebral cortex, visual areas of the cerebral cortex is hierarchical work, the more the bottom of the visual cortex is more sensitive to those underlying characteristics . In summary, feature learning so many application needs the support of the drive and biological neural theoretically doomed it to be able to play a certain role in the field of AI. Some experiments show that some feature learning learning to feature almost better than all the other features of the effect of the ISA model such as this is one.)

估计信号源数不同时的MUSIC算法性能比较(Not the same source estimates the number of performance comparison of MUSIC algorithm)

说明：  最基础的风力机模型和光伏电池模型，适合入门者(The most basic wind turbine model and photovoltaic cell model, suitable for beginners)

维纳滤波的MATLAB程序代码首先根据。首先产生一信号 ，将其加噪后，利用AR模型滤波(wiener filter code)

该压缩包为matlab语言的常用算法程序集(The archive is commonly used algorithm matlab assembly language)

本资料是以matlab与quartus软件综合开发出一个FIR数字滤波器，对硬件电路的设计有很大帮助。(This information is based on comprehensive development of the software matlab with quartus a FIR digital filter, the hardware design of the circuit of great help.)

matlab编程的三个线性方程组求解子程序：cggm.m,fdm.m,febs.m.其中cggm.m为共轭梯度法求解子程序,fdm.m为最速下降法求解自程序,febs.m为三对角追赶法求解子程序.(Matlab programming three linear equations subroutine : cggm.m, fdm.m. febs.m. which cggm.m to conjugate gradient method subroutine, fdm.m for the steepest decline since the method procedures febs.m angle to catch up with three pairs method subroutine.)

matlab file for image contrast..

MVDR——SMI波束形成器的例子，对于理解MVDR波束形成很有帮助(MVDR- SMI beamformer example，it is helpful for understanding the MVDR beamforming)