Attachments_20131017

This is a SVM classifier algorithm in Matlab.

v(k)随机信号，输入信号为幅值为M序列程序.利用极大似然递推进行参数辨识，文件的*m文件，可以直接运行，能直接辨识出参数，绘制误差曲线等，程序中带有详细注释。(v (k) random signal, the input signal amplitude for the M series for the process. the use of recursive maximum likelihood parameter identification, documentation* m files, you can directly run directly identified parameters, such as mapping error curve, procedures with detailed notes in.)

SOUNHO Park RBPFspeech enhancement EMsequential

五维超混沌系统反同步仿真，基于matlab的simulink，实时同步(The anti- synchronization of a five-dimensional hyperchaotic system by matlab)

RADAR scateriing using pulse compression principle

同步电机的交直轴自感的计算方法，可用于dq模型的同步电机的计算和研究。(AC synchronous motor direct axis inductance calculation method can be used to model calculations and research dq synchronous motor.)

单相桥式整流电路simulink仿真模型(Single-phase bridge rectifier circuit simulink simulation model)

EMD 算法，消除信号趋势项，可以作为信号预处理的部分(Part of the EMD algorithm to eliminate the signal trend term, can serve as a signal preprocessing)

Routines to deal with management of logical versus physical display, opening and redisplaying lines on the screen, and use of intelligent terminal operations. Routines to deal with screen cleanup after a change.

Blind signal seperation method using maximum likelyhood method