Opt_Golden

matlab实现一维小区定向信道锁定借用（BDCL）和FCA（固定信道分配）阻塞率比较的仿真程序，并对小区信道数对阻塞率的影响也进行了图形描述！(matlab plot to achieve one-dimensional directional channel locking to use (BDCL) and FCA (fixed channel allocation) Comparison of blocking rates of the simulation program, and the cell number of channels on the blocking probability is also studied in the graphic description!)

plotsmithchart Usage:where Zl is the Load Impedence (possibly complex)and Zo is the Characteristic Line Impedence Plots a smith chart, along with the reflection coefficient circle and the line of intersection with resistive component equal to 1

image processing program filter

very valuable material for matlab developers

空间谱估计基本原理 MUSIC，ESPRIT算法(MUSIC，ESPRIT)

多种方法（软硬阈值、自适应阈值等）进行小波去噪的matlab...( denoise by wavelete methods)

用Matlab实现重叠保留法计算循环卷积的程序实例，课堂上完成的，希望有用(Using Matlab to achieve overlapping reservation method to calculate cyclic convolution procedure example, the completion of the classroom, and I hope useful)

MATLAB6.0数学手册 复合版.doc MATLAB6.0数学手册 复合版.doc(Mathematics MATLAB6.0 composite version of the manual. DocMATLAB6.0 mathematics composite version of the manual. Doc)

matlab,利用Mie散射理论计算粒子散射特性(Matlab calculate scattering characteristic by Mie scattering theory)

文件包含三个子文件：dec.m,test_dec.m,recon.m dec.m文件使用MATLAB语言自己动手编写小波分解算法； test_dec.m使用MATLAB语言测试dec.m文件中自己编写的小波Mallat分解算法正确性 recon.m使用MATLAB语言自己动手编写Mallat重构算法 函数使用MATLAB语言，没有调用MATLAB小波分解函数，而是自己动手编写的小波Mallat算法对含噪声的信号进行分解、重构；这对对小波分解的初学者，加深对小波分解有着引导作用。(File contains three subfolders: dec.m, test_dec.m, recon.mdec.m using MATLAB language to prepare yourself wavelet decomposition algorithm test_dec.m using MATLAB language testing dec.m document I have written Mallat wavelet decomposition algorithm correctly recon.m use of MATLAB language to prepare yourself Mallat reconstruction algorithm function using the MATLAB language, do not call the MATLAB wavelet decomposition function, but do-it-yourself prepared Mallat wavelet algorithm with noise signal decomposition, reconstruction This is the wavelet Decomposition of the beginners, have a better understanding of the guiding role of wavelet decomposition.)