CDMAblind

IDW插值法，距离倒数乘方格网化方法是一个加权平均插值法，可以进行确切的或者圆滑的方式插值。方次参数控制着权系数如何随着离开一个格网结点距离的增加而下降。对于一个较大的方次，较近的数据点被给定一个较高的权重份额，对于一个较小的方次，权重比较均匀地分配给各数据点。 计算一个格网结点时给予一个特定数据点的权值与指定方次的从结点到观测点的该结点被赋予距离倒数成比例。当计算一个格网结点时，配给的权重是一个分数，所有权重的总和等于1.0。当一个观测点与一个格网结点重合时，该观测点被给予一个实际为 1.0 的权重，所有其它观测点被给予一个几乎为 0.0 的权重。换言之，该结点被赋给与观测点一致的值。这就是一个准确插值。 距离倒数法的特征之一是要在格网区域内产生围绕观测点位置的"牛眼"。用距离倒数格网化时可以指定一个圆滑参数。大于零的圆滑参数保证，对于一个特定的结点，没有哪个观测点被赋予全部的权值，即使观测点与该结点重合也是如此。圆滑参数通过修匀已被插值的格网来降低"牛眼"影响。 (Inverse Distance to a Power)

说明：  罚函数法求解约束方程 注释非常详细 自己编的源程序(Penalty function method for solving the constraint equations themselves very detailed comments of the source code)

基于matlab的IIR滤波器设计，使用的话需要自己改参数(IIR filter design based on matlab, using if necessary to change the parameters)

Abstract—Several algorithms have been developed for tracking formant frequency trajectories of speech signals, however most of these algorithms are either not robust in real-life noise environments or are not suitable for real-time implementation. The algorithm presented in this paper obtains formant frequency estimates voiced segments of continuous speech by using a time-varying adaptive filterbank to track individual formant frequencies. The formant tracker incorporates an adaptive voicing detector and a gender detector for formant extraction continuous speech, for both male and female speakers. The algorithm has a low signal delay and provides smooth and accurate estimates for the first four formant frequencies at moderate and high signal-to-noise ratios. Thorough testing of the algorithm has shown that it is robust over a wide range of signal-to-noise ratios for various types of background noises.

正弦信号的频谱图形，短小的编码程序，用matlab实现。可实现简单频谱图(Sinusoidal signal spectrum graphics, short of coding procedures, using matlab realize. Can realize a simple frequency spectrum)

说明：  直接的源代码形式,没有解压密码,即解即用,也可能有点语法问题,请使用的时候注意一下(direct source code form, without extracting passwords, that solution is used, may be a bit syntax, please use the time to take note)

文件里是一个非常新颖的matlab程序，对研究碰撞和摩擦理论的人来说是非常值得参考的程序。(File is a very novel matlab program, the study of the collision and friction theory for people who are very good reference procedures,)

本文针对SLAM数据关联中使用最为广泛的最近邻方法作了改进，利用特征估计位置与载体预测位置之间的欧氏距离计算代替了全部特征与每个量测之间的马氏距离计算，避免了大量的矩阵乘法计算。该算法简单易行，降低了算法的计算复杂度，有利于SLAM算法的实时执行，且关联效果与全局最近邻法相同(In this paper, SLAM data association in the most widely used methods of improving the nearest neighbor, using the characteristics of the estimated location and the location of vector prediction Euclidean distance between the calculation instead of all the characteristics of each measurement between the Mahalanobis distance calculation, to avoid a large number of matrix multiplication calculation. The algorithm is simple, the algorithm to reduce computational complexity and is conducive to the implementation of real-time SLAM algorithm, and the effects associated with the same overall nearest neighbor method)

Matlab图形图像处理例程。应用MATLAB图形函数和绘图实例(Matlab graphics and image processing routines. Application of MATLAB graphics functions and drawing examples)

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