Crank-rocker-mechanism

This is the Gaussian piramyd i found in matlab page is very useful to image procesing

心电信号加入0.5Hz的基线漂移，通过0.5Hz高通滤波器，滤波后的波形与原波形的对比 ，滤波器特性曲线分析；信号加入50Hz工频漂移，通过50Hz陷波器，滤波后的波形与原波形的对比 ，滤波器特性曲线分析(ECG baseline drift by adding 0.5Hz, 0.5Hz through a high-pass filter, filtering of the waveform after the comparison with the original waveform, filter characteristic curve analysis adding 50Hz frequency signal drift, through the 50Hz notch filter, after filtering waveform compared with the original waveform, filter characteristic curve analysis)

说明：  matlab编程最好的入门教程，相当清晰，推荐学习！(The best entry-matlab programming tutorials, very clear recommendation to learn!)

正交频分复用，应用在水声通信中。正交频分复用，应用在水声中(Orthogonal frequency division multiplexing applications in underwater acoustic communications. Orthogonal Frequency Division Multiplexing, used in the sound of water)

stanford大学vgg组著名的多视几何matlab工具箱vgg，包含特征点匹配、几何校正等(stanford university vgg group famous multi-view geometry vgg matlab toolbox, including a feature point matching, geometric correction, etc.)

MATLAB Code for Shape from Shading

16-QAM + fading + AWGN Rayleigh Fading Ampalitude without Phase Fading

实现matlab中一些经常使用的功能，只要将其加入matlab中的path里，就可以直接调用这些函数。(err)

增广递增的最小二乘法，用于辨识，其中噪声信号使用的是M序列。(Augmented incremental least squares method, for identification, which the noise signal using the M sequence.)

分析了支持向量回归机在能源需求预测中的优势,确定了输入向量集合和输出向量集合,建立了基于Matlab技术的SVR能源需求预测模型.对我国1985-2008年能源需求相关数据进行模拟与仿真,并对中国2010年和2020年能源需求量进行预测.研究结果表明:一是中国未来对能源的需求量逐渐增加,从2010年的330400万吨标准煤上升到2020年418320万吨标准煤,年均增长率为2.39％；二是在解决我国能源系统小样本.非线性及高维模式识别问题中SVR比BP神经网络等方法有更高的预测精度.(Support vector regression analyzes advantage in energy demand forecast to determine the set of input vectors and output vector set, established SVR energy demand forecasting model based on Matlab technology. Energy demand for our 1985-2008 related data modeling and simulation , and China in 2010 and 2020 energy demand forecast results show that: First, China s increasing demand for energy in the future, from 3.304 billion tons of standard coal in 2010 rose to 4.1832 billion tons of standard coal in 2020, average annual growth rate of 2.39 second is to solve our energy system small sample nonlinear and high dimensional pattern recognition problem SVR higher prediction accuracy than the BP neural network method.)