QRalgorithm

说明：  最小二乘法 非线性方程 matlab代码(Solve a Set of Overdetermined Nonlinear Equations in Least-Squares Sense)

自己写的Gabor方程函数，可以用来产生过完备的稀疏表示字典。(Gabor write their own equation function, can be used to generate the sparse representation over-complete dictionary.)

graphical drawing of matlab files in guide format

MVDR波束形成算法，及其波数域实现。并分别给出了常规方法和基于对角加载方法的实现，是入手波束形成的参考程序。(MVDR beamforming algorithm, and the wave number domain to achieve. And were given the conventional methods and methods based on diagonal loading to achieve, is to start the formation of the reference beam program.)

for using this code need to use signal toolbox and general toolbox in your matlab Using Haar transform to compress the image (showing remaining coefficen of Thresholded Image) and then using Inverse 2D Haar transform and finding the SNR to see how well decompression works

考虑到传统的多示例多标签框架忽略了标签相关性，或者是将标签相关性作为全局概念知识加以利用，我们将局部标签相关性引入到MIML一SVM多示例多标签学习框架中来，得到了一种新的多示例多标签学习算法MIML LC SVM(Taking into account the traditional multi-sample multi-label framework ignores the label correlation or correlation between the label to be used as a global concept of knowledge, we will bow} local label correlation MIML into a multi-instance multi-label SVM learning framework in the past, get a new multi-instance multi-label learning algorithm MIML LC SVM)

用于模拟相移光纤光栅(FBG)的传输特性,包括多相移光栅(Used to simulate the phase-shift fiber Bragg grating (FBG) of the transmission characteristics, including multi-phase-shift grating)

Interest point detection is a recent terminology in computer vision that refers to the detection of interest points for subsequent processing.

用积分最小值准则来求P,PI,PID的个参数，其中Gc是校正器的传递函数,kp为比例系数， Ti为积分时间常数，Td为微分时间常数，输入参量vars为带迟滞--惯性环节模型的[K T τ]，已知参数k=vars（1）；T=vars（2）；ι=vars（3）,iC=vars(4) (Minimum criteria of integral seeking P, PI, PID' s parameters, which Gc is the corrector transfer function, kp is proportional coefficient, Ti for the integral time constant, Td for the differential time constant, input parameters vars as with hysteresis- inertia model of [KT τ], known parameters k = vars (1) T = vars (2) ι = vars (3), iC = vars (4) )

说明：  Discrete wavelet transform