The_use_of_SPSS_and_Matlab_for_time_series_predict

粒子滤波程序，含EKF UKF与PF的对比程序，很详细(EKF UKF matlab simulation program, including a comparison program, in great detail, with reference to the PF)

这是vondark滤波的程序，是自己编写的用于对数据去除噪声的matlab代码，供大家分享学习。(This is vondark filter program and is used to write his of removing noise data of matlab code, for all to share learning. )

本matlab程序用乘子法求解多元模型的最小值（给出初始点和精度要求条件）。(The matlab program for solving the minimum multivariate model using multiplier method (given initial point and precision conditions).)

讨论了VC++语言和Matlab语言的接口技术，并有具体程序，为二者的交互编程提供了可能。(Discussed VC++ Language and Matlab language interface technology, and there are specific procedures for the two interactive programming possible.)

利用matlab编制的dpsk二进制数字基波的调制与解调的程序(bdpsk digital )

it s a syncronoyus generator

模拟FM信号的解调子程序，包括下变频、A/D采样、正交解调，最后输出基带信号。(Subroutine analog FM demodulation signal, comprising down-conversion, A/D sampling, orthogonal demodulation, and finally outputs a baseband signal.)

MATLAB功能大全,matlab编程实用。(matlab programing)

Compressive sampling is an emerging technique that promises to effectively recover a sparse signal from far fewer measurements than its dimension. The compressive sampling theory assures almost an exact recovery of a sparse signal if the signal is sensed randomly where the number of the measurements taken is proportional to the sparsity level and a log factor of the signal dimension. Encouraged by this emerging technique, this thesis briefly reviews the application of Compressive sampling in speech processing. It comprises the basic study of two necessary condition of compressive sensing theory: sparsity and incoherence. In this thesis, various sparsity domain and sensing matrix for speech signal and different pairs that satisfy incoherence condition has been compiled.

利用Matlab编写的一个具有图形界面的日历程序，可以显示日记和时间。(Prepared by use of Matlab graphical interface with a calendar program, you can display the diary and time.)