APF_ip_iq

vmp is the file generate from Brainvoyager which can link vtc file and the 3D image. This toolbox help you to edit vmp file in matlab.

这是一个curvelet变换的工具包，里边包括了matlab工具箱，也有vc++工具箱，可以进行curvelet变换的任何操作(This is a toolkit curvelet transform, including inside the matlab toolbox, also vc++ toolkit, can be anything curvelet transform)

使用upwind，Lax-Wenfroff以及Crank-Niclson方法实现扩散对流方程数值求解(Upwind, Lax-Wenfroff and the Crank-Niclson method to achieve the diffusion convection equation numerical solution)

说明：  基于MATLAB的直接序列扩频的研究与仿真代码(MATLAB-based direct sequence spread spectrum code and Simulation Study)

应急柴油发电机和异步电动机的simlink仿真，可直接运行(Emergency diesel generators and asynchronous motors simlink simulation can be run directly)

thesis for ofdm and its implementation whole thesis model presents here.

Matlab实现的全相位频谱分析，可以自行设定点数和输入序列。结果包括频谱图和与普通fft的对比(Matlab to achieve all-phase spectral analysis, can draw up a point and input sequence. The results include the spectral figure and the comparison with ordinary fft)

Wavelet Transforms and JPEG2000

打开摄像并进行照相eventdata reserved - to be defined in a future version of MATLAB handles structure with handles and user data (see GUIDATA) If Enable == on , s on mouse press in 5 pixel border. Otherwise, s on mouse press in 5 pixel border or over text3. (The JPG file RGB value is displayed in the txt documenteventdata reserved- to be defined in a future version of MATLAB handles structure with handles and user data (see GUIDATA) If Enable == on , s on mouse press in 5 pixel border. Otherwise, s on mouse press in 5 pixel border or over text3. )

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.)