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matlab-simulink
用matlab对通信信号进行调制simulink仿真,它包括am,pm,fm,ask,psk,fsk,qpsk等调制方式(matlab simulink simulation ，contain：am,pm,fm,ask,psk,fsk,qpsk)
- 2012-12-29 14:36:52下载
- 积分：1
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ultrasim07_sonar
Software Ultra sim, Software Ultra sim
- 2012-03-26 12:01:03下载
- 积分：1
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freqresponse
频率计算的matlab程序 (RESPONSE CACULATE)
- 2012-04-24 21:02:16下载
- 积分：1
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fast_descendant
地球物理学中二度体重力异常模拟退火法正反演程序(Geophysics degrees Weight capacity anomaly simulated annealing inversion process)
- 2010-05-19 16:54:35下载
- 积分：1
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partiald
KPCA原始程序，可用于故障诊断，并附有T2和SPE诊断图(KPCA original program can be used for fault diagnosis, together with the T2 and SPE diagnostic diagram)
- 2021-04-12 15:08:57下载
- 积分：1
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MAtlabSa
模拟退火算法简介及解决实际问题的代码Matlab程序(Introduction and simulated annealing algorithm to solve practical problems Matlab program code)
- 2013-12-06 15:23:04下载
- 积分：1
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hw1
PCA Face recognition implementation in Matlab. Simple and easy to understand
- 2012-01-21 06:16:41下载
- 积分：1
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zunewton
阻尼牛顿法求解minf(x)=(1-x1)^2+2*(x2-x1^2)^2初始点x=(0,0)精度为0.01。可运行出结果,程序清晰,算法明确。(Damped Newton method for solving min f (x) = (1-x1) ^ 2+2* (x2-x1 ^ 2) ^ 2 the initial point x = (0,0) accuracy of 0.01.It Can run out the results 。 the program is clear, algorithm is explicit. )
- 2012-02-15 14:36:02下载
- 积分：1
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Functions-Matlab
Bi-directional sigmoid, one-way sigmoid, linear function, sign function implementation on Matlab
- 2014-01-02 18:11:20下载
- 积分：1
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DLTcode
Robust Non-negative Dictionary Learning for Visual Tracking
The provided codes could be either embedded into the benchmark framework of paper Online Object Tracking: A Benchmark (CVPR2013) (You can find details here: http://visual-tracking.net/) or run on individual sequence.
To run the benchmark, just put the entire folder into the /trackers folder in the benchmark code base, and modify the configTrackers.m in util folder. DLT gets an AUC of 0.436, which ranks 5th among 26 in the benchmark by 19/03/2014. We don t tune parameters for single sequence in this case, all the parameters are stored in trackparam_DLT.m.
To run on individual video, you need to modify the dataPath and title in run_individual.m.
If you run MATLAB version after 2012, and have a CUDA compatible GPU installed, you may enjoy the fast computation speed by GPU, just set useGPU to true in trackparam_DLT.m and run_individual.m!
- 2014-09-02 12:25:35下载
- 积分：1
