HoKoshyap

自适应滤波算法的应用，自适应信号对消的一种例子(The application of adaptive filtering algorithms, adaptive signal cancellation of a case)

说明：  挠性转子的平衡原理是建立在弹性轴（梁）横向振动理论的基础上，其动平衡原理为：挠性转子在任意转速下回转时所呈现的动挠度曲线，是无穷多阶振型组成的空间曲线，其前三阶振型是主要成分，振幅较大，其他高阶振型成分振幅很小，可以忽略不计。(Flexible rotor balancing principle is based on the elastic axis (beam) on the basis of transverse vibration theory, the balancing principle is: flexible rotor turning at any speed when the deflection curve presented is composed of infinite number of vibration modes space curve, the first three modes is the main component, the larger the amplitude, the amplitude of the other components of higher modes is very small, can be ignored.)

一个近似熵的源代码，一个熵代码，主要运行环境：matlab.第一个主要用与生物信号的检测,主要用于生物医疗工程的信号处理方面。（由matlab高手编）(An approximate entropy of the source code, an entropy code, the main operating environment: matlab. The first major use with the bio-signal detection, mainly for biomedical signal processing aspects of the project. (From matlab master ed.))

三维空间中产生一棵树，并划分成voxel，每个叶片都占据一个voxel的大小。(Three-dimensional space to produce a tree, and is divided into voxel each leaf occupies the size of a voxel.)

说明：  使用matlab对ofdm系统进行仿真和误比特率的分析(Ofdm systems using matlab on simulation and analysis of bit error rate)

直方图的仿真，直方图的仿真，直方图的仿真，直方图的仿真，(Histogram of the simulation, the simulation histograms, the histogram of the simulation, the simulation histograms,)

run the basic plots.

The BNL toolbox is a set of Matlab functions for defining and estimating the parameters of a Bayesian network for discrete variables in which the conditional probability tables are specified by logistic regression models. Logistic regression can be used to incorporate restrictions on the conditional probabilities and to account for the effect of covariates. Nominal variables are modeled with multinomial logistic regression, whereas the category probabilities of ordered variables are modeled through a cumulative or adjacent-categories response function. Variables can be observed, partially observed, or hidden.

通过matlab计算Rayleigh信道的误码率(BERinRayleighchannel)

递归式最小均方（RLS）算法的基本思想是力图使在每个时刻对所有已输入信号而言重估的平方误差的加权和最小，这使得RLS算法对非平稳信号的适应性要好。与LMS算法相比，RLS算法采用时间平均，因此，所得出的最优滤波器依赖于用于计算平均值的样本数，而LMS（NLMS）算法是基于集平均而设计的，因此稳定环境下LMS（NLMS）算法在不同计算条件下的结果是一致的(Recursive least-mean-square (RLS) algorithm for the basic idea is to try to make in every moment of all the input signal in terms of re-evaluation of the weighted squared error and the smallest, which allows non-stationary RLS algorithm for adaptive signal better. Compared with the LMS algorithm, RLS algorithm uses the average time, therefore, the resulting optimal filter depends on the used to calculate the average number of samples, and the LMS (NLMS) algorithm is designed based on set average, and therefore a stable environment LMS (NLMS) algorithm in different conditions, the results of the calculation is consistent)