SeisLab_10.0301

this code is used to find autocovariance of two discrete signals

本程序采用半隐式方案实现变分水平集图像分割方法中的模型(Active contour ithout edge)(This program uses the program to achieve semi-implicit variational level set image segmentation methods model (Active contour ithout edge))

m.file for image processing applications

极限学习机（Extreme Learning Machine，ELM），该算法随机产生输入层与隐含层间的连接权值及隐含层神经元的阈值，且在训练过程中无需调整，只需要设置隐含层神经元的个数，便可以获得唯一的最优解。与传统的训练方法相比，该方法具有学习速度快、泛化性能好等优点(Extreme Learning Machine regression and classification, introduce a new algorithm for SLFN- Extreme Learning Machine (Extreme Learning Machine, ELM), the algorithm randomly generated input layer and hidden layer connection weights between the hidden layer and dollar threshold, and no adjustment in the training process, only need to set the number of hidden layer neurons, they can obtain a unique optimal solution.)

matlab和C混编，处理乘性噪声，求解变差模型。(Written by M. Kang, S. Yun, and H. Woo, the corresponding paper is "Two-level convex relaxed variational model for multiplicative denoising")

dual filter ht equals primal filter h (orthogonal transform) ％ creates Daubechies orthogonal filter (dual filter ht equals primal filter h (orthogonal transform) creates Daubechies orthogonal filter)

Assume that a direct sequence spread spectrum system uses the Barker code of length 7 (N=7) as its spreading sequence. a. Randomly generate 8 symbols (d0~d7) from the set {+1,-1}. b. If each chip of the Barker code is denoted as cj, j=0~6, spread each symbol di by the Barker code. (Please refer to p. 17 of the slides.) Use “stem” to plot the signals before spreading and after spreading

实际光学元件的畸变波前建立了畸变波前模型,畸变进行了仿真研究,给出了二维平面的matlab源代码(The actual wavefront distortion of optical components to establish a distorted wave-front model, a simulation study of distortion are given two-dimensional plane, the source code matlab)

说明：  吸引子键波在弱信号检测中的设计Attractor in the design of weak signal detection(Attractor in the design of weak signal detection)

说明：  想学习MATLAB的同志，可看一下该程序，有帮助有哦！( Wants to study Comrade MATLAB, may look that this procedure, has the help to have!)