zbuildpi

哥德巴赫猜想的算法思想以及算法的的具体实现以及试验数据(Goldbach Conjecture)

最短路径的算法, 程序, 代码, 采用Matlab实现.(short path source ocde, free code, matlab source code)

牛顿插值，前插共识，前插公式，用matlab实现数值计算方法中的牛顿向前插值公式。(newton_interpolation)

计算机视觉实验四--利用所给步骤编写cany算子边缘检测比较采用Matlab自带cany函数的边缘检测(Computer vision experiments 4- to step in the preparation of cany use of edge detection operator used to compare the Matlab edge detection function built-cany)

龙格库塔法的编程,龙格库塔法的编程龙格库塔法的编程(Runge-Kutta method of programming)

本程序用matlab工具编程,采用lms算法实现信道估计.其中信源是+-1二值随机码,信道为多径(3路径)信道.(the procedures used Matlab programming tools using LMS algorithm channel estimation. Which source is-1 two random codes, channel more Drive (Route 3) channel.)

是粗糙集中很不错的代码。。。。这里面还含有粗糙集的论文 愿意与大家共享(Rough set is very good code. . . . There also contains a rough set of papers are willing to share with you)

ra_snr_gui.m 作用：统计不同信噪比下，五种信号的峰值旁瓣比RA和低高频均值比RM，绘制结果，参考图3.11和3.12 DFCW_RA_SNR.m 作用：产生正交离散频率编码信号，并计算峰值旁瓣比RA和低高频均值比RM LFM_RA_SNR.m 作用：产生线性调频信号，并计算峰值旁瓣比RA和低高频均值比RM OFDMLFM_RA_SNR.m 作用：产生正交频分线性调频信号，并计算峰值旁瓣比RA和低高频均值比RM PC_RA_SNR.m 作用：产生正交相位编码信号，并计算峰值旁瓣比RA和低高频均值比RM SIN_RA_SNR.m 作用：产生单载频信号，并计算峰值旁瓣比RA和低高频均值比RM 输入参数： vSNR：信噪比向量 输出结果： RA:峰值旁瓣比向量RA，对应信噪比向量 RM:低高频均值比向量RM，对应信噪比向量 calculateRA.m: 作用：计算不同信噪比下峰值旁瓣比RA和低高频均值比RM，参考论文3.4.5节 输入参数: sig：输入信号，可以是多行MIMO信号，运算中将合并为1行信号 vSNR：信噪比向量 输出结果： RA:峰值旁瓣比向量RA，对应信噪比向量 RM:低高频均值比向量RM，对应信噪比向量 sig_dfcw.m 作用：产生正交离散频率编码信号 sig_ofdm.m 作用：产生正交频分线性调频信号 sig_pc.m 作用：产生正交相位编码信号 (ra_snr_gui.m action: Statistics different SNR peak sidelobes than five signal RA and low high frequency average ratio RM, rendering the results, referring to Figure 3.11 and 3.12 DFCW_RA_SNR.m effect: generating orthogonal discrete frequency encoded signal, and calculate the peak sidelobe ratio RA and low and high frequency average ratio RM LFM_RA_SNR.m effect: generating chirp signal and calculates the peak sidelobe ratio RA and low high frequency average ratio RM OFDMLFM_RA_SNR.m effect: generating an orthogonal frequency division chirp signal and calculates peak sidelobe ratio RA and low and high frequency average ratio RM PC_RA_SNR.m effect: generating quadrature phase encoded signals and calculate peak sidelobe ratio RA and the average low and high frequency effects than RM SIN_RA_SNR.m: to produce a single carrier frequency signal, and calculate peak sidelobe ratio RA and RM lower than the average high-frequency input parameters: vSNR: SNR vector output: RA: peak sidelobe ratio v)

This simple source codes describe the implementation of cognitive radio

说明：  matlab写的关于BA无标度网络的代码(scale-free complex networks sourcecode)