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this code generates a bank of steerable gabor wavelets with variable orientation, scale

说明：  光伏电池模型 基于温度和光照强度的电池模型 非常好用(pv model)

说明：  PAM调制，实现模拟信号的数字抽样，能够启发matlab初学者的编程(PAM modulation, realize simulation signal digital sampling )

OFDM整个过程传输过程 4G技术 LTE(OFDM transmission process )

实现语音的采集，变换，滤波器的设计以及滤波后的语音信号的显示和频谱变换(failed to translate)

对摄影测量相机的参数进行标定，拍摄已知精确尺寸的标定板，读入图像，角点检测，标定相机的内外参数，重构标定板与相机的空间结构(The parameters of the photogrammetric camera calibration, accurate recording of known size calibration plate, read the image, corner detection, external camera calibration parameters, calibration plate and the reconstruction of the spatial structure of the camera)

madhirar1988年的关于桩网复合地基模型的计算程序(madhirar1988 year on net composite pile foundation model calculation program)

对大量的离散数据用matlab进行处理，得到明了的曲线图像。(Using MATLAB for data processing )

广义预测控制GPC多变量预测控制源程序代码(Generalized predictive control (GPC) Multivariable Predictive Control)

支持向量机和BP神经网络虽然都可以用来做非线性回归，但它们所基于的理论基础不同，回归的机理也不相同。支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。为了验证这种观点，本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块，仿真结果证实，支持向量机做非线性回归不仅泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。 (Support Vector Machine and BP neural network, even though there can be used to make non-linear regression, but they are based on the theoretical basis for the different, the mechanism of regression is not the same. Support vector machine based on structural risk minimization theory, generally considered the generalization ability of neural networks than the strong. To test this view, the paper prepared by non-linear regression support vector machine procedures and based on a common Matlab neural network toolbox of BP neural network )