TowersOfHanoi

Simulate the Element Selection Logic for a quadrature differential DAC.

说明：  调度问题中的粒子群优化方法及其应用研究 调度问题中的粒子群优化方法及其应用研究(Scheduling Particle Swarm Optimization Method and Its Application Scheduling Particle Swarm Optimization Method and Its Application)

介绍FDTD原理，语言编程的要点，适合于研究电磁波散射与传播的问题，对掌握FDTD来说，很值得参考。(Application expert at Ph.D. in “Time-Domain Methods for the Maxwell Equations”)

可以求解在一般三维场模拟中的椭圆方程（泊松方程）(Three-dimensional Poisson equation can be solved)

盲信号处理研究论文，这是第二部分，包括三、四、五章以及摘要和目录。(Blind signal processing research papers, this is the second part, including three, four, five chapters, as well as a summary and directories.)

空域中的均值滤波，中值滤波，几何均值，调和反调和均值滤波器等(filters in spacial domain,such as median filter)

对每一路图像进行小波变换，分别到其水平、垂直、四十五度角方向的高频分量以及其低频分量，得到每路图像的小波金字塔； 按取较大值的原则对两幅图像的不同层次、不同特征层的信息图分别进行融合； 根据融合的各图像分量的小波序列，进行小波逆变换，得到最后的融合图像。 (Road images of each wavelet transform, respectively, to its horizontal, vertical, 45 degree angle the direction of high-frequency components as well as its low-frequency components obtained for each road image wavelet pyramid according to the principles of taking a larger value of the two images different levels of information mapping feature level fusion respectively the basis of integration of various components of the wavelet image sequences, inverse wavelet transform, to be the final fusion image.)

一维褶积 雷克子波与地层序数 地震资料正演方法(One-dimensional convolution Ricker wave formation ordinal)

用matlab实现一种快速的模糊边界加强与识别的算法。参考文献 《The fast multilevel fuzzy edge detection of blurry images》(Using matlab to achieve a fast fuzzy boundaries strengthen and recognition algorithms. References- " The fast multilevel fuzzy edge detection of blurry images" )

说明：  模型是在模糊集合理论和概率理论进行交叉渗透的基础上构造的特定算法，即云发生器，进行定性概念和定量表示之间的不确定转换，它揭示随机性和模糊性的内在关联性。在此利用实例解释云模型的应用。(Model is based on a specific algorithm of fuzzy set theory and probability theory on cross-permeable structure, namely cloud generator, be uncertain conversion between qualitative concept and quantitative representation, which reveals the inherent randomness and fuzziness relevance. In this application the use of examples to explain the cloud model.)