reconstruction-of-source-signals

wire less communication

EEMD分解求能量熵，经本人试用，完全能够求解(EEMD decomposition for energy entropy, after my trial, completely able to solve)

一种通用的稀疏编码方法，sparse coding，在图像去噪，目标识别等方面有着广泛的应用。(A generic sparse coding, sparse coding, in image denoising, object recognition have a wide range of applications.)

用时间序列分析中的自适应滤波预测法,建立某市用电量的预测模型 (Using time series analysis of adaptive filtering prediction method, a city electricity consumption forecasting model)

说明：  在matlab中四阶Runge-Kutta法求解常微分方程(Runge-Kutta)

matlab教程PPT，初学者课一看一下(matlab tutorial PPT, a look at the beginners class )

基于灰度图像的目标物的提取、边缘检测、迭代收缩(Extract target grayscale images based on edge detection, iterative shrinkage)

最小均方误差等算法的MSE的计算,关于非线性离散系统辨识，有信道编码，调制，信道估计等。( Minimum mean square error MSE calculation algorithm, Nonlinear discrete system identification, Channel coding, modulation, channel estimation.)

数字信号的传输：1、实现滚降系数分别为0，0.5，1时信号时域频域和功率谱密度以及眼图的波形，并比较异同。 2、对(2/4/8)PSK,DPSK通信系统进行蒙特卡罗仿真，通过功率谱密度、误比特率来比较他们的性能(采用最佳接收方式)。 (Digital signal transmission: 1, to achieve roll-off coefficients were 0,0.5,1 time domain when the signal frequency and power spectral density, as well as eye-diagram of the waveform, and compare the similarities and differences. 2, (2/4/8) PSK, DPSK communication system, Monte Carlo simulation, through the power spectral density, bit error rate to compare their performance (to adopt the best way to receive).)

发送单极性码元，经过升余弦滚降，画出功率谱和眼图。(this code, or after Cosine paint power spectrum and eye diagram.)