pwmnibian

细胞边缘检测及癌细胞识别系统，在matlab环境下操作！(cell edge detection and cancer identification system in operation Matlab environment!)

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Visual C++ 与Matlab混合编程，可以让Visual C++程序员快速进行matlab编程(Visual C++ with matleb combine pragraming )

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.)

matlab code cyclostattionary detection ofdm sgnal

describe a gaussian beam 1D

均值，高斯，中值滤波器自编，并附带边界的处理项，最后是一个test.m得检测功能文件(Mean, Gaussian, median filter self, and to deal with border entry, and finally the detection of a test.m may file)

该例程是基于人耳掩蔽效应的语音增强算法的MATLAB实现。压缩包中附带参考文献（基于人耳掩蔽效应的谱减算法的研究与实现）、测试所使用的音频信号、以及段信噪比计算函数。源代码中MaskingSub.m（源代码主要部分）及Main.m为本人所写，其余均来自程序员联合开发网。运行环境MATLAB R2009b(Key words:masking property, spectral subtraction algorithm)

本段代码是用来做布拉格光纤光栅的仿真，耦合模式算法。(This section of code is used for the simulation of fiber Bragg grating coupled model algorithm)

利用射线追踪法实现地震波场层析成像.在石油行业中,此过程是地震资料应用的一个重要步骤(The use of ray tracing method to achieve seismic wavefield tomography. In the oil industry, this process is the application of seismic data as an important step)