maxentropie

MATLAB图形处理工具箱~与冈萨雷斯《数字图像处理》配套(MATLAB graphics toolbox ~ and Gonzalez, " Digital Image Processing" complementary)

mimo系统基本仿真 mse算法下错误率最小(mimo system)

Mobile Robot Model + Code + Docs in Matlab

matlab code for ofdm transmitter

noisegen.m：生成白噪声并按照指定信噪比对语音进行加噪； add_noisem.m：使用输入的噪音按照指定信噪比对语音进加噪； SNR_singlech.m：输入纯净语音和加噪后的语音，计算其信噪比； my_add_noise.m：调用上述函数进行加噪操作；(noisegen.m: white noise generated by the specified signal to noise ratio of the speech plus noise add_noisem.m: use the specified input noise into the signal to noise ratio of the speech plus noise SNR_singlech.m: pure voice input and processing after the noise voice, calculate the signal to noise ratio my_add_noise.m: call the above functions plus noise operation )

说明：  利用MATLAB实现一个BP网络的控制程序。简单使用(Use MATLAB to achieve a BP network control procedures. Simple to use)

采用爬山法求解优化问题，一共4个文件，函数和脚本分开放(Climbing method used optimization problem, a total of four documents, functions and sub-script open)

id article going to explain bout doa estimatiion in 4g techniques

仿真对象如下： 其中， v( k )为服从N (0,1) 分布的白噪声。输入信号u ( k) 采用M 序列，幅度为 1。M 序列由 9 级移位寄存器产生，x(i)=x(i-4)⊕x(i-9)。 选择如下辨识模型： 加权阵取Λ = I。 衰减因子β = 0.98，数据长度 L = 402。 辨识结果与理论值比较，基本相同。辨识结果可信 (he simulation object is as follows: among them, v (k) to obey N (0, 1) distribution of white noise. The input signal u (k) using M sequence, amplitude is 1. M sequence by 9 level shift register generation, x (I) = x (I- 4) ⊕ x (I- 9). Choose the identification model: weighted array take Λ = I. Attenuation factor β = 0.98, the data length L = 402. Identify the theoretical calculation and comparison, basically the same. Identification results are reliable)

适用于测量中的简单水准网平差，不包含三角网(Simple leveling network adjustment applicable to the measurement, triangulation does not contain)