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my homework handed in to my lecturer enjoy

目标跟踪的IMM算法的matlab参考程序 希望能帮到大家 (IMM target tracking algorithm matlab reference program)

Geometrical nonlinear finite element solver

matlab basic exercise in korean

说明：  首先介绍计算机仿真技术和仿真建模方法的基本概念，以便对建模和仿真有个初步和整体的认识；然后对 Simulink 进行简单介绍，并以一个简单例子进行引导；最后介绍 Simulink的工作原理，为后续的深入掌握 Simulink 打下基础。(First introduces the computer simulation technology and the basic concepts of simulation modeling methods, modeling and simulation in order to have a preliminary and general understanding and then a brief introduction to the Simulink and be guided by a simple example Finally, the working principle of Simulink, Simulink for subsequent understanding of the basis.)

MICROSTRIP Calc using matlab

说明：  计算均方误差MSE信噪比SNR峰值信噪比PSNR绝对平均误差的matlab函数(Calculate the mean square error MSE, SNR is the peak signal to noise ratio PSNR absolute average error of Matlab functions)

说明：  一种基于全变差的红外弱小目标背景抑制方法，效果不错(An infrared small target based background suppression total variation method, good results)

在计算机上产生一组实验数据，首先产生一段零均值白噪声数据u（n）,令功率为 ，让u(n)通过一个三阶FIR： 得到y(n). .y(n)上加三个实正弦信号f1’=0.1,f2’=0.25,f3’=0.26调整 和正弦信号幅度信噪比大致为10dB,50dB,50dB. (1) 令N=256,描绘xn波形； (2)得出真实功率谱密度 . (3) 利用此实验数据Pisarenko谐波分解法估计该实验数据的正弦频率及幅度。 (On the computer to generate a set of experimental data, first generate a zero mean white noise data u (n), so that power, let u (n) through a third-order FIR: get y (n).. Y (n) added three real sinusoidal signal f1 ' = 0.1, f2' = 0.25, f3 ' = 0.26 and sine signal amplitude adjustment signal to noise ratio is approximately 10dB, 50dB, 50dB. (1) that N = 256, depicted xn waveform (2) the true power spectral density obtained. (3) using this experimental data, Pisarenko harmonic decomposition method to estimate the experimental data of the sinusoidal frequency and amplitude.)

数学建模中常用的穷举法程序，具有一般性，非常实用(Mathematical modeling method commonly used in the exhaustive process, with the general, very useful)