MP_TOA

说明：   1.录制一段自己的语音信号，并对录制的信号进行采样； 2.画出采样后的语音信号的时域波形和频谱图； 3.给定滤波器的性能指标，采用窗函数法和双线性变换法设计滤波器， 并划出滤波器的频域响应； 4.用该滤波器对采集的信号进行滤波，画出滤波后信号的时域波形和频谱， 并对滤波前后的信号进行对比，分析信号的变化； 5.回放语音信号； 6.设计一个信号处理系统界面(1. Recorded their own voice for some signal, and recording the signal sampling 2. Draw samples of the voice signal after the time-domain waveform and frequency spectrum 3. Given filter performance indicators, using a window function method and dual- Design of linear transformation filters, and draw the filter frequency response 4. to use the filters on the collected signal filtering, after filtering the signal to draw the time-domain waveform and spectrum, and filtering of signals before and after contrast, analysis of signal changes 5. playback voice signal 6. to design a signal processing system interface)

Licenses and Activator Matlab R2012b

Poll servey management system with documents

说明：  包含估计copula的步骤：正态分布检验，非参数核密度估计，copula的参数估计，copula的Kendall秩相关系数估计以及用平方欧式距离评价copula模型。(It includes the steps of Copula estimation: normal distribution test, nonparametric kernel density estimation, Copula parameter estimation, Copula Kendall rank correlation coefficient estimation and copula model evaluation by square Euclidean distance.)

This is the program for mu law companding,,,,

三分matlab基础文档，三本比较经典的书籍。中文。侧重点不同。(Matlab third base document, three more classic books. Chinese. Different focus.)

说明：  OFDM通信系统的仿真。PDF文件，包括OFDM原理、程序讲解及运行结果。(OFDM communications system simulation. PDF documents, including OFDM principles, procedures and operations on the results.)

实现地震叠前三参数反演（纵波速度、横波速度、密度）(prestack seismic inversion (compressional wave velocity, shear wave velocity, density))

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)

通过采用ekf算法来实现SLAM，对比了真实值与采用算法后计算结果，说明程序的可行性。(EKF-SLAM Simulator ------------------ This simulator demonstrates a simple implementation of standard EKF-SLAM. It permits simple configuration via configfile.m to perform SLAM with various control parameters, noises, etc. Also various switches are available to choose known data-association versus gating, etc. The key file in this simulator is called ekfslam_sim.m . Type help ekfslam_sim for more information of how to use it. In addition to on-line animations, the simulator returns a data-structure of the logged state information for off-line processing. An example use of this data is shown in m-file plot_feature_loci.m , which plots the trajectories of the landmark estimates. Tim Bailey and Juan Nieto 2004. )