OFDMqpsk

communication code ldpc

运用matlab/simulink创建一单机无穷大电力系统暂态稳定性分析(Transient stabilty analysis of one-machine infinite bus power system)

wilson—ct法计算多自由度粘滞阻尼系统受地震激励的时程响应的源代码！(The wilson-ct method multiple degrees of freedom viscous damping system response by the time of the earthquake excitation source code!)

交错网格声波方程正演模拟，PML吸收边界，比较适合刚刚接触的学者。交错网格有限差分地震波场计算，二维的声波正演，利用空间10阶，时间2阶。(The CalCulation of the SeismiC Wave一 fieldwith Staggered-grid Finite difference Sheme)

对噪声信号中的正弦信号，通过Pisarenko谐波分解方法、Music算法和Esprit算法进行频率估计，信号源是： 其中， ， ， ； 是高斯白噪声，方差为 。使用128个数据样本进行估计。 1、用三种算法进行频率估计，独立运行20次，记录各个方法的估计值，计算均值和方差； 2、增加噪声功率，观察和分析各种方法的性能。(Sinusoidal signal in the noise signal through the Pisarenko harmonic decomposition method, Music algorithms and Esprit frequency estimation algorithm, the signal source is: where,,, a Gaussian white noise, variance. 128 data samples used to estimate. 1, with three kinds of frequency estimation algorithm, run independently 20 times, record the estimated value of each method to calculate the mean and variance 2, the increase in noise power, observation and analysis of the performance of various methods.)

该算法可以计算含DG的配电网优化计算，算例采用IEEE 33 bus test system。(Our algorithm package can solve the distribution active power optimization with the consideration of distributed generation (DG). The test case is based on IEEE 33 bus test base. Enjoy it. )

是小学期课程设计的题目，预报误差法参数辨识-松弛的思想，用于信号特征提取、信号消噪，数据模型归一化，模态振动，计算加权加速度,仿真图是速度、距离、幅度三维图像，插值与拟合，解方程，数据分析，是国外的成品模型。( Is the topic of the elementary school stage curriculum design, Prediction Error Method for Parameter Identification- the idea of relaxation, For feature extraction, signal de-noising, Normalized data model, modal vibration, Weighted acceleration, FIG simulation speed, distance, amplitude three-dimensional image, Interpolation and fitting, solution of equations, data analysis, Foreign model is finished.)

compressive sensing theory

NIDAQ Matlab code. This code is provide communicate Matlab program and NIDAQ device. 1000 samples per second makes .

对盲源分离中独立成分分析法的实现，包括去均值，白化，和牛顿迭代法进行的ICA分析。(The implementation of independent component analysis in blind source separation includes ICA analysis of mean value, whitening and Newton iteration.)