fenel_simpson2D

Demosaicking Algorithm using Bi-linear Interpolation

关于模拟纳米粒子自组装系统的I-V曲线matlab(matlab code for Self-assembly of nanoparticles on the simulated IV curve of the system )

说明：  书名是《Matlab工具箱应用指南——信息工程篇》，对于信息类的matlab仿真比较有用。(Title is &quot Matlab Toolbox application guide- Information Engineering articles&quot matlab simulation for the information more useful class.)

current calculation maTLAB FILE

粒子图像分割及匹配均为自行编制的子例程，PLEsBZv参数matlab程序运行时导入数据文件作为输入参数，BP神经网络用于函数拟合与模式识别，有较好的参考价值，xICYlkW条件DC-DC部分采用定功率单环控制，均值便宜跟踪的示例。( Particle image segmentation and matching subroutines themselves are prepared, PLEsBZv parameter Import data files as input parameters matlab program is running, BP neural network function fitting and pattern recognition, There are good reference value, xICYlkW condition DC-DC power single-part set-loop control, Example tracking mean cheap.)

MPC860SAR源代码，包括头文件、汇编程序以及说明。(MPC860SAR source code, including the first document, and on the compilation process.)

文章A New Efficient Low-Complexity Scheme for Multi-Source Multi-Relay Cooperative Networks的仿真MATLAB代码，值得拥有。(This paper proposes a new efficient scheme for the combined use of cooperative diversity and multiuser diversity.)

A discrete cosine transform (DCT) expresses a finite sequence of data points in terms of a sum of cosine functions oscillating at different frequencies. DCTs are important to numerous applications in science and engineering, lossy compression of audio (e.g. MP3) and images (e.g. JPEG) (where small high-frequency components can be discarded), to spectral methods for the numerical solution of partial differential equations. The use of cosine rather than sine functions is critical for compression, since it turns out (as described below) that fewer cosine functions are needed to approximate a typical signal, whereas for differential equations the cosines express a particular choice of boundary conditions.

描述了在跟踪物体运动的卡尔曼程序。以及绘制出图像。。(matlab kalman)

C-C法计算最大李雅普诺夫指数的延迟时间和嵌入维数(C-C calculated maximum Lyapunov exponent of the delay time and embedding dimension)