gui_def_tbl

基于MATLAB图像处理的汽车牌照识别系统，希望对各位大大有些帮助啊啊啊啊(MATLAB image processing based on the vehicle license plate recognition system, we hope to you greatly helpful ah ah ah ah)

自己编写的一个单载波时域均衡的程序，采用的是线性MMSE均衡算法(When I have written a single carrier domain equalization program, using the linear MMSE equalization algorithm)

对转子振动信号进行频谱分析，可以有效地反映出振动的主频以及由于故障导致的多倍频(spectrum analysis of vibration signal)

独立成份分析（ＩＣＡ）以及ｗｉｎｎｅｒ滤波 Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S + N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...( Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S+ N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...)

航天类matlab 工具箱，包含轨道计算，大气模型，卫星模型等。是从事航空航天研究的理想工具箱。(aerospace category Matlab toolbox contains orbit, atmospheric model, the satellite model. Engaged in aerospace research the ideal toolbox.)

一种非线性代数方程组的迭代解法。最早用于解算电力系统潮流。这种方法具有程序编制简单、占用内存少的优点，但算法收敛性差，计算时间长。(In numerical linear algebra, the Gauss–Seidel method, also known as the Liebmann method or the method of successive displacement, is an iterative method used to solve a linear system of equations. It is named after the German mathematicians Carl Friedrich Gauss and Philipp Ludwig von Seidel, and is similar to the Jacobi method. Though it can be applied to any matrix with non-zero elements on the diagonals, convergence is only guaranteed if the matrix is either diagonally dominant, or symmetric and positive definite. It was only mentioned in a private letter Gauss to his student Gerling in 1823.[1] A publication was not delivered before 1874 by Seidel.)

正定矩阵的乔利斯基（Cholesky）分解程序(Cholesky Modify)

Apply a function intended for one-dimensional usage independently to the three dimensionsof a 3-D array.

本程序是基于最大阈值法实现的，该功能可以对图像进行处理。(This procedure is based on the achievement of the maximum threshold, the image can be processed.)

用MATLAB实现数字信号处理的程序，包括FIR、IIR设计，以及Z变换、FFT变换(Using MATLAB realize digital signal processing procedures, including FIR, IIR design, as well as the Z transform, FFT transform)