ga2

mmo 信道估计算法 matlab 仿真 实现了无线信道环境下的信道估计(MMO channel estimation algorithm matlab simulation environment for the realization of the wireless channel under channel estimation)

一种基于PN训练序列的OFDM时频同步的新算法。通过构造倒序结构的同步训练序列，获得了较好的定时性能。(PN training sequence based on the OFDM time-frequency synchronization of the new algorithm. By constructing a reverse structure synchronization training sequence, to obtain a better performance from time to time.)

分别用三种不同的差分近似公式（前向差分、后项差分和中心差分）来技术函数的近似值(Respectively with three different difference approximation formula (forward difference, backward difference and central difference) approximation to the technical function)

将图像分为16*16的分块进行计算,稀疏矩阵采用DCT矩阵，观测矩阵采用高斯随机矩阵，重构采用OMP算法,对256*256大小的8bit灰度lena图像进行仿真( )

voice recorder with gui matlab.this program have spectogram too

骨架。点云的提取。是国外的一篇论文。写的非常不错，采用Matlab实现。(Skeleton. Point cloud extraction.)

说明：  基于Z-N整定PID参数的代码，PID最优的参数求取，用matlab程序代码实现这一过程(Based on the setting of PID parameters of Z-N code)

生成极化电磁波，并且画出极化电磁波的三维波形(Generate polarized electromagnetic wave, and draw the three-dimensional waveform of polarized electromagnetic wave)

时间序列数据分析中的梅林变换工具，可以广泛的应用于数据预测及数据分析,利用最小二乘法进行拟合多元非线性方程。( Time series data analysis Mellin transform tool, Can be widely used in data analysis and forecast data, Multivariate least squares fitting method of nonlinear equations.)

To estimate the input-output mapping with inputs x ％ and outputs y generated by the following nonlinear, ％ nonstationary state space model: ％ x(t+1) = 0.5x(t) + [25x(t)]/[(1+x(t))^(2)] ％ + 8cos(1.2t) + process noise ％ y(t) = x(t)^(2) / 20 + 6 squareWave(0.05(t-1)) + 3 ％ + time varying measurement noise ％ using a multi-layer perceptron (MLP) and both the EKF and ％ the hybrid importance-samping resampling (SIR) algorithm. (To estimate the input-output mapping with inputs x and outputs y generated by the following nonlinear, nonstationary state space model: x (t+ 1) = 0.5x (t)+ [25x (t )]/[( 1+ x (t)) ^ (2)]+ 8cos (1.2t)+ process noise y (t) = x (t) ^ (2)/20+ 6 squareWave (0.05 (t-1 ))+ 3+ time varying measurement noise using a multi-layer perceptron (MLP) and both the EKF and the hybrid importance-samping resampling (SIR) algorithm.)