get_sym

在matlab环境下，用最邻近数据关联算法实现目标跟踪。(the Matlab environment, using the most neighboring data association algorithm to achieve the target track.)

本程序实现了matlab自带函数imfillter的功能，是.m文件的形式，参数和imfilter一样可选。程序附有图片，并且在程序最后使用imfilter，便于直接对比观察处理效果。注：本程序是读入RGB图像，转换成灰度图进行处理。(This program implements the function of matlab own function imfillter is. M file in the form of the same parameters and imfilter optional. Procedures with pictures, and last used in the program imfilter, for direct observation of treatment effect contrast. Note: This program is read into the RGB image into grayscale processing.)

利用周期稳态响应的谐波分析法求解电路的周期稳态响应(The use of periodic steady-state response of harmonic analysis method for solving the circuit the cycle of steady-state response)

This tutorial is a MATLAB code shows how to implement Finite Difference Time Domain (FDTD)

dpfc simulation in matlab

最短路的matlab代码，很不错的。 (Matlab code of the most short-circuit)

信号与信息处理——阵列信号处理DOA估计的matlab算法，这是求根MUSIC和MVDR算法的源代码，非常有用的代码(Signal and information processing- array signal processing matlab algorithm for DOA estimation, which is Root MUSIC and MVDR algorithm source code, very useful code)

Program of publication "Fast Channel Shortening with Polynomial Weighting Functions" sub_pg_of_fig5and6

录制自己的一段语音，时间控制在15秒到30秒左右；利用wavread函数对自己的语音进行采样，记住采样频率。 （1）画出原始语音信号的时域波形，而后以1秒为间隔，求出每秒数据的功率谱。 （2）根据语音信号特点，分别设计FIR及IIR滤波器，分别画出滤波器幅频和相频特性曲线。用设计的滤波器对信号滤波，画出滤波后时域波形。用sound函数回放语音信号。 （3）求出特征频段语音信号随时间变化的曲线（每间隔0.05秒求一次功率谱）。 (Record your own voice for some time (15 seconds to 30 seconds) use wavread function of the voice samples, remember the sampling frequency. (1) Draw the original speech signal in time domain waveform, and then to 1 second intervals, the data obtained power spectrum per second. (2) According to the voice signal characteristics, FIR and IIR filters were designed, namely to draw the amplitude and phase frequency characteristic curve. With the design of the filters on the signal filtering, to draw the filtered time-domain waveform. Playback with sound function of the speech signal. (3) Find the characteristic band speech signal curve over time (0.05 seconds intervals seeking a power spectrum.))

This a two dimensional level set code that extends quanities off the interface using a first order Godunov scheme.