image-source-method-new

关于信道仿真的源代码，内含信道模型的ppt，希望对研究信道的朋友有帮助(Channel simulation on the source code, including channel model ppt, hope that the study of channel friends have helped)

it is project for servillence system system.

说明：  BP网络仿真实例参考:包含感知器网络设计实例及仿真源程序.(BP network simulation reference: contains examples of sensor network design and simulation source.)

余弦滚降时域波形与fft频域的仿真与作图。(Cosine roll-off time domain and frequency domain simulation.)

利用matlab的gui设计的带有输入和输出功能的界面图形，实现等距线可视性很强，自己独立编写的数据和图形，学习非常值得,实现pca bp和svm压缩图像，matlab语言(Using GUI of MATLAB to design interface graphics with input and output functions, realizing the visibility of isometric line is very strong, and it is very worthwhile to study the data and graphics written independently, realizing PCA BP and SVM compressed images, MATLAB language)

布拉格光纤光栅受外界力、温度综合影响后反射谱的影响仿真研究( Fiber Bragg Grating by the external force, the combined effect of temperature after the Simulation of reflection spectra )

用matlab实现扫雷，还不错的，可以玩一下(Using matlab to achieve mine clearance, but also good, and can play about)

关于教育梦的相关文章，内容新颖,是一篇值得借鉴和欣赏的教育梦想的文章。(Related articles about education dream, content is novel, is a worthy of reference and appreciate education dream.)

A filter bank structure that can deal effectively with piecewise smooth images with smooth contours, was proposed by Minh N Do and Martin Vetterli. The resulting image expansion is a directional multiresolution analysis framework composed of contour segments, and thus is named contourlet. This will overcome the challenges of wavelet and curvelet transform. Contourlet transform is a double filter bank structure. It is implemented by the pyramidal directional filter bank (PDFB) which decomposes images into directional subbands at multiple scales. In terms of structure the contourlet transform is a cascade of a Laplacian Pyramid and a directional filter bank. In essence, it first use a wavelet-like transform for edge detection, and then a local directional transform for contour segment detection. The contourlet transform provides a sparse representation for two-dimensional piecewise smooth signals that resemble images.

The code accompanying Understanding and Implementing the Finite Element Method by Mark S. Gockenbach (SIAM, 2006)(is contained in four directories: 1. version1: linear Lagrange triangles 2. version2: Lagrange triangles of arbitrary degree 3. version3: isoparametric elements of arbitrary degree 4. adaptive: local refinement, a posteriori error estimates, etc.)