DictionaryofAppliedMathforEngineersandScientists

least means square algorithm using matlab

Use DCT-LMS algorithm with recursions on C to estimate optimum weight vectors for linear estimation.

弹性力学自动计算软件，仅适用于图片中题目(Software automatically calculates the elasticity is only applicable to the subject image)

这是一个基于PQ控制的逆变并网模型，可以完美运行。(PQ control, perfect operation.)

说明：  航海雷达中频信号建模，并进行GO恒虚警处理(Marine radar IF signal modeling, and for GO CFAR)

BRC MATLAB code for BRC.fig BRC, by itself, creates a new BRC or raises the existing singleton*. H = BRC returns the handle to a new BRC or the handle to the existing singleton CALLBACK ,hObject,eventData,handles,...) calls the local function named CALLBACK in BRC.M with the given input arguments.BRC Property , Value ,...) creates a new BRC or raises the existing singleton.Starting from the left, property value pairs are applied to the GUI before BRC_OpeningFcn gets called.An unrecognized property name or invalid value makes property application stop. All inputs are passed to BRC_OpeningFcn via varargin.See GUI Options on GUIDE s Tools menu. Choose "GUI allows only one.instance to run (singleton)".Edit the above text to modify the response to help.Begin initialization code - DO NOT EDIT

拉东变换精校编译通过，文件齐全。如下载好用，一定给好评(Radon transform finishing school compiler, file complete.)

说明：  基于matlab的泊车自动动控制算法，值得参考。(The automatic parking control algorithm based on matlab is worthy of reference.)

说明：  Function files in MATLAB for calculation of laminate engineering constants for a multidirectional laminate consisting of plies with known values of material data in the principal material directions, known fiber orientations and known ply coordinates.

虽然奇异值分解（SVD）和特征值分解（EVD的）是行之有效的，可以通过先进的设施设备先进的算法，它不是通常所说，有一个内在的迹象，可以显着影响的不确定性的结论计算及诠释来自其结果。我们提供一个解决方案，标志模糊的问题确定了从奇异向量的内积和个人数据载体签署奇异向量的迹象。该数据可能有不同的载体，但它有它自身的定位和实际意义的选择方向，其中多数的向量点。这可以通过评估发现了内心的签署标志产品的总和。(Although the Singular Value Decomposition (SVD) and eigenvalue decomposition (EVD) are well-established and can be computed via state-of-the-art algorithms, it is not commonly mentioned that there is an intrinsic sign indeterminacy that can significantly impact the conclusions and interpretations drawn from their results. We provide a solution to the sign ambiguity problem by determining the sign of the singular vector from the sign of the inner product of the singular vector and the individual data vectors. The data vectors may have different orientation but it makes intuitive as well as practical sense to choose the direction in which the majority of the vectors point. This can be found by assessing the sign of the sum of the signed inner products. )