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wavelet-design-codes
这是一本很权威的由张德峰老师编写的小波分析的书相应的源代码(This is a very authoritative and written by Zhang Defeng teacher' s book of wavelet analysis the source code)
- 2011-04-24 11:47:08下载
- 积分：1
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Global_convergence
全局收敛的PSO算法,可用于智能运算开发等，希望对大家有所帮助。(Global convergence of the PSO algorithm can be used for development of intelligent computing, etc., we want to help.)
- 2010-05-07 08:08:50下载
- 积分：1
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MATLABinCCS
MATLAB在CCS集成编程环境中应用的研究(MATLAB applications in the CCS integrated programming environment)
- 2013-02-03 19:27:43下载
- 积分：1
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LPF_WINDOW
基于不同window的LPFdesign( MATLAB programme for window-based FIR low-pass filter design )
- 2013-04-06 22:09:53下载
- 积分：1
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F16
F16的气动数据，以及进行matlab和simulink联合仿真的F16飞行品质和飞行性能计算程序(Aerodynamic data of F16 and a program for calculating the flight quality and performance of F16 using MATLAB and Simulink)
- 2018-09-23 14:59:47下载
- 积分：1
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pls_t2_sep
用于在pls中来提取t2和spe的数值分析(apply in pls to get t2)
- 2013-11-27 18:54:42下载
- 积分：1
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BB_Ants_System
改进的蚁群算法matlab程序，验证无误。(ant-system)
- 2009-05-27 08:48:36下载
- 积分：1
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Periodogram-powe
说明： 平均周期图法和平滑平均周期图法估计功率谱
从经典功率谱估计周期图法原理入手，从理论上分析了其存在的局限性，借助Welch算法对其进行修正。依靠Matlab强大的数值分析和信号处理能力进行实验!!
用周期图法和welch法分别估计了一下信号的功率谱密度。采样频率200Hz，时间序列长度2048，FFT数据点数2048。其中welch法使用hanning窗，窗口长度600．(Average periodogram and periodogram smoothing method to estimate the average power spectrum from the classical power spectrum estimation periodogram principle starting from the theoretical analysis of the limitations of its existence, with the Welch algorithm, amending them. Rely on the powerful Matlab numerical analysis and signal processing capabilities to experiment!! With periodogram and welch method were estimated signal power spectral density about. Sampling frequency of 200Hz, the time sequence length 2048, FFT data points 2048. Welch method which uses hanning window, the window length of 600.)
- 2011-03-16 16:45:58下载
- 积分：1
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speech2text-master
speech to text conversion implemented in MATLAB
- 2014-12-01 13:16:54下载
- 积分：1
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gcrf_demo
This MATLAB code is an example of how to train the GCRF model
described in "Learning Gaussian Conditional Random Fields for
Low-Level Vision" by M.F. Tappen, C. Liu, E.H. Adelson, and
W.T. Freeman in CVPR 2007. If you use this code in your research,
please cite this paper
- 2007-11-14 22:36:37下载
- 积分：1
