rate-resampling-of-signal-processing

pathgenerator source, filtering for matlab

共轭梯度法matlab源程序 很好很强大 快来下载 快来啊(gongetidufa)

Fminsearch不承认的约束限制。 不过简单的转换方法存在 转换成一个绑定的约束问题 无约束问题。 Fminsearchbnd用于酷似fminsearch， 除了边界应用到变量。 应用于国内的界限，利用 改造中的变量。 （二次型 单式，双罪恶界（十）。） 具有包容性的不平等的界限，它承认 边界值本身，但不准 在所有函数之外的范围评估。 请注意，fminsearchbnd允许用户准确地固定在某个给定值通过设置一个变量的确切范围相同的值。(Fminsearch does not admit bound constraints. However simple transformation methods exist to convert a bound constrained problem into an unconstrained problem. Fminsearchbnd is used exactly like fminsearch, except that bounds are applied to the variables. The bounds are applied internally, using a transformation of the variables. (Quadratic for single bounds, sin(x) for dual bounds.) The bounds are inclusive inequalities, which admit the boundary values themselves, but will not permit ANY function evaluations outside the bounds. Note that fminsearchbnd allows the user to exactly fix a variable at some given value, by setting both bounds to the exact same value.)

Along with image stitching and motion direction detection, Phase correlation has important role in detection of copy move forgery.These papers elaborate role of phase correlation in "Copy Move forgery". Soon I will upload running code for this application.

二值图像形态滤波和灰度图像形态滤波操作的Matlab实现。(Binary image morphological filter and grayscale images Matlab morphological filtering operations to achieve.)

一本很好的讲matlab应用的书籍，并且非常适合于初学者，能够帮助初学者快速入门。(a good book to teach you the application of matlab.It s suitable for the beginners. And it will help you a lot.)

雷达辐射源信噪比特性程序，其中包括cw、psk、fsk、lfm、nlfm等几种信号(Radar emitter signal-to-noise ratio of the characteristic procedures, including cw, psk, fsk, lfm, nlfm several signal)

单个圆椭球干扰计算(根据切片法理论计算)(Single round ellipsoid interference calculations)

lms源码这是实验的代码 为了对理论进行实际的理解 仅作参考 1． 随机逼近算法模块 2． 抗噪检验模块 3．最陡下降法模块(This is the experimental lms source code to the actual understanding of the theory of reference only 1. Stochastic approximation algorithm for module 2. Anti-noise test module 3. Steepest descent method module)

skin color segmentation