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matlab限幅滤波法降低ofdm峰均比 (matlab ofdm limiting filtering PAPR reduction)

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用递推式法求解；用二分法，牛顿迭代法，迭代法求解方程的近似根(Using recursive method for solving with the dichotomy, Newton iteration method, iteration method for solving the approximate root)

用于多孔介质中波的传播，分析波的传播速度随入射角的变化，消除频散的特性(wave propogation in porous media)

自适应阈值滤波程序，用matlab实现.zishiyinglvzhilvbo(Wiener filtering procedures winer filter to achieve)

ASM是由Cootes和泰勒推出的多分辨率方法的一个例子。 基本思想： 在ASM模型训练，训练从手工绘制的图像轮廓。发现的ASM模型在训练使用主成分分析（PCA），使该模型自动识别数据的主要变化是，如果可能的轮廓/好的对象的轮廓。还包含了ASM模型的协方差矩阵描述行垂直纹理口岸时，在正确的位置。 (Description This is an example of the basic Active Shape Model (ASM) as introduced by Cootes and Taylor, with multi-resolution approach. Basic idea: The ASM model is trained from manually drawn contours in training images. The ASM model finds the main variations in the training data using Principal Component Analysis (PCA), which enables the model to automatically recognize if a contour is a possible/good object contour. Also the ASM models contains covariance matrices describing the texture of the lines perpendicular to the control points when in the correct positions. After creating the ASM model, an initial contour is deformed by finding the best texture match for the control points. This is an iterative process, in which the movement of the control points is limited by what the ASM model recognizes from the training data as a "normal" object contour. Literature: - Ginneken B. et al. "Active Shape Model Segmentation with Optimal Features", IEEE Transactions on Medical I)

re synthesize the speech signal

曼彻斯特编码的matlab实现。输入概率的条件下会以构架的形式输出编码结果，以及必要的附加参数。(Manchester encoding matlab realize. Under the conditions of the importation of probability will form the framework of the output coding results, as well as the necessary additional parameters.)

bp神经网络的应用，这个程序简单实用，大家可以通过调试参数体会一下(bp neural network applications, this procedure is simple and practical, we can taste through the debug parameters)

绘制光纤中LP02模式的光场分布,可以利用三维图形表示(plot LP02 mode in fiber)