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LPFleida
Pf粒子滤波实现的目标跟踪程序，可实现针对非高斯噪声情况下的跟踪(Pf particle filter to achieve tracking procedures, can be non-Gaussian noise for tracking cases)
- 2010-07-19 10:17:42下载
- 积分：1
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Tutor_of_MATLAB
完整精通MATLAB综合辅导与指南书籍，网上有些缺少前4章。(Full proficiency in MATLAB integrated counseling and guide books, the Internet and some lack of pre-Chapter 4.)
- 2008-02-26 16:49:39下载
- 积分：1
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triangle
输入三条边，判断是否可构造三角形，判断三角形类型(Enter three sides, to determine whether the triangles can be constructed to determine the type triangle)
- 2009-11-23 14:43:48下载
- 积分：1
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simulink-of-fuzzy-control
糊控制位置跟踪的SIMULINK仿真.运用matlab完成(Fuzzy control location tracking with SIMULINK. Use matlab to complete)
- 2013-07-24 04:23:08下载
- 积分：1
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phase-mag-nonilm-1f
相位衬度成像中由振幅得到相位的恢复算法，MATLAB运行环境(Phase-contrast imaging obtained by the amplitude phase restoration algorithm, MATLAB runtime environment)
- 2007-10-29 16:00:04下载
- 积分：1
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design
说明： 根据语音信号的特点给出有关滤波器的性能指标：1）低通滤波器性能指标，fp=1000Hz，fc=1200 Hz， As=100dB，Ap=1dB；2）高通滤波器性能指标，fc=2800 Hz，fp=3000 Hz As=100dB，Ap=1dB；3）带通滤波器性能指标，fp1=1200 Hz，fp2=3000 Hz，fc1=1000 Hz，fc2=3200 Hz，As=100dB，Ap=1dB。用IIR对其分析，最后，利用MATLAB中的函数freqz画出各滤波器的频率响应。(This article according to the IIR filter and the FIR filter characteristic, uses the bilinearity method of transformation under the MATLAB bad boundary to design IIR and to design the FIR numeral filter separately with the window box number, and carries on the analysis to the gathering pronunciation signal, and finally gives IIR and FIR to the pronunciation filter effect.)
- 2011-03-12 21:46:33下载
- 积分：1
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Matlab-of-engineering-math
matlab工程数学。包括统计问题、规划问题、偏微分方程求解、样条工具。(matlab engineering mathematics. Including statistical issues, planning issues, partial differential equations, spline tool.)
- 2013-11-25 12:53:30下载
- 积分：1
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matlab
基于matlab的共轭梯度法,基于这种算法可以求解矩阵的解，以及相应的误差(base on matlab)
- 2011-12-09 22:04:06下载
- 积分：1
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matlab
y3k=fft(u,(m+n-2)/4)
i=1:(m+n-2)/4
subplot(5,2,9) stem(i,u)
title( 滤波后上采样 )
k=1:(m+n-2)/4
subplot(5,2,10) stem(k,y3k)
title( 上采样频谱 )
xlabel( k ) ylabel( y3k ) (y3k = fft (u, (m+ n-2)/4) i = 1: (m+ n-2)/4 subplot (5,2,9) stem (i, u) title (after filtering the sample) k = 1: (m+ n-2)/4 subplot (5,2,10) stem (k, y3k) title (on the sample spectrum) xlabel (k) ylabel (y3k))
- 2009-01-06 13:09:09下载
- 积分：1
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chap9
matlab的经典教学案例，初学者的最好资料，来看看吧。(matlab classic teaching case, the best information for beginners, have a look.)
- 2011-04-22 16:29:04下载
- 积分：1
