tidujiaozheng

一种基于最小均方算法的OFDM信道估计技术(A minimum mean-square algorithm based on the OFDM channel estimation techniques)

matlab-三维曲面的自动绘制及图形构建(matlab-dimensional surface of automatic drawing and graphics, build)

Linear Frekans Modulasyon (chirp signal)

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

Perfect matlab facetracker, detects eyes, mouth and face.

The method works as follows. 1. For a data set with dimensionality, d, compute the variance of data in each dimension (column). 2. Find the column with maximum variance call it cvmax and sort it in any order. 3. Divide the data points of cvmax into K subsets, where K is the desired number of clusters. 4. Find the median of each subset. 5. Use the corresponding data points (vectors) for each median to initialize the cluster centers.

通信原理课程，多径信道对数字信号的影响源程序代码！(Multipath channel digital signal)

说明：  巧妙的运用matlab控件自编程序！很有意思哦！在信号分析领域用途广泛！(clever use of Matlab self control procedures! Very interesting! In the field of signal analysis of a wide range of uses!)

fingerprint recognition matlab code

该程序给出了基于AR时间序列建模的陀螺随机漂移模型，并利用卡尔曼滤波方法滤除陀螺随机漂移，经验证，有良好效果。(failed to translate)