IEEEtransactions_on-pattern-analysis

多种MATLAB用于图像处理的代码，提高大家的编程水平(A wide range of MATLAB code for image processing, improve the level of U.S. programming)

modelisation of asynchrone machine and control with fuzzy logicPI

单位圆的内插实现，里面有4种内插算法：拉格朗日插值、牛顿插值、分段线性插值、分段样条插值、以及插值误差范数估计等等(Interpolation to achieve the unit circle, which has four kinds of interpolation algorithms: Lagrange interpolation, piecewise-linear interpolation, sub-spline interpolation, as well as Norm interpolation error estimates, etc.)

tdma解三对角矩阵，是一个M文件，用在matlab中，编写完整(tdma solution of tridiagonal matrix is ​ ​ a M-file, used in matlab, the preparation of a complete)

通过二维图抽象的DCT变换，取前n和系数进行重构得到的图像进行显示(Two-dimensional map by abstraction of DCT, take the first coefficient n and displays the image reconstructed by)

哈工大教授的matlab教程的ppt学习资料。对入门级和高手来说都是很好的学习材料。(The HIT Professor matlab tutorial ppt learning materials. Entry-level and master is a very good learning materials.)

隐马尔科夫的MATLAB代码，希望对大家有帮助，仅供大家参考，希望有用(Hidden Markov of the MATLAB code, and want to help everyone, only for your reference and hope be useful)

本程序用matlab编写，主要是为解决IEEE40节点电力负荷分配问题而想的一种算法。我把该算法命名为水桶法，是受一桶水的高度总与这个桶的最短一块木板齐平的原理，算法每次迭代把功率分配给需要最小消耗的机组上。(This program with matlab, main is to solve the IEEE40 node power load distribution and think of an algorithm. I put the algorithm named bucket method, by a bucket of water is the height of the barrels of the shortest total and a board at the principle, each iteration algorithm the power allocation to the minimum consumption on the unit needs. )

matlab - image processing - laplacian filter(matlab- image processing- laplacian filter)

说明：   在三次样条中，要寻找三次多项式，以逼近每对数据点间的曲线。在样条术语中，这些数据点称之为断点。因为，两点只能决定一条直线，而在两点间的曲线可用无限多的三次多项式近似。因此，为使结果具有唯一性。在三次样条中，增加了三次多项式的约束条件。通过限定每个三次多项式的一阶和二阶导数，使其在断点处相等，就可以较好地确定所有内部三次多项式。此外，近似多项式通过这些断点的斜率和曲率是连续的。然而，第一个和最后一个三次多项式在第一个和最后一个断点以外，没有伴随多项式。因此必须通过其它方法确定其余的约束。最常用的方法，也是函数spline所采用的方法，就是采用非扭结(not-a-knot)条件。这个条件强迫第一个和第二个三次多项式的三阶导数相等。对最后一个和倒数第二个三次多项式也做同样地处理。 (the Cubic Spline, to find three polynomial, approaching every right to point the data curve. The kind of terms, these data points called breakpoints. Because only two points a straight decisions, and in between the two curves can be used an infinite number of cubic polynomial approximation. Therefore, in order for the outcome of uniqueness. The Cubic Spline, add the cubic polynomial bound by the conditions. By limiting each cubic polynomial of the first order and second-order derivative, it breakpoint in the same Department, we can better identify all internal cubic polynomial. In addition, the polynomial approximation of these breakpoints slope and curvature is continuous. However, the last one and a cubic polynomial in a breakpoint and the final one, not accompanied by polynomials. There)