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说明： 经典的遗传算法程序，很不错，用于语音识别方面，不同以往的遗传算法，有兴趣可以看看。(Classical genetic algorithm program is very good for speech recognition, the genetic algorithm different from the past, interested to see.)
- 2010-10-30 16:41:31下载
- 积分：1
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Discretesystemspid
针对离散系统的阶跃信号,正弦信号和方波信号的位置响应,设计了离散pid控制器(Step for discrete-time systems signal, sinusoidal signal and the square wave signal in response to the location, design a discrete controller pid)
- 2008-05-25 11:27:39下载
- 积分：1
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Spacetime-code
使用matlab实现对空时分组码的协同分集系统进行性能仿真(Using matlab to realize synergies STBC diversity system performance simulation)
- 2011-01-28 09:03:24下载
- 积分：1
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DSP6_MATLAB
无限冲激响应数字滤波器的设计中的各个例子的程序，希望对大家有用(infinite impulse response filter design examples of the various procedures in the hope that it may be useful to)
- 2006-12-24 17:05:40下载
- 积分：1
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ClusterEnsembleToolbox
聚类的工具箱，十分的全面，推荐大家使用....(the clustering toolbox for matlab，and it is very useful)
- 2014-10-09 20:25:23下载
- 积分：1
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cv4
Model Reference Adaptive Control
- 2013-11-15 22:45:51下载
- 积分：1
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nsold
本m文件可以用于求解非线性方程，通用性好，容易上手(nonlinear equation solver)
- 2012-11-21 21:02:30下载
- 积分：1
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lstm实例+代码
lstm实例+代码，包含详细注释，能运行，简单的房产价格预测实例(Lstm u5B9E u4F9 u4E09 u4EF3 u643 U6D4B u5B9E u4F8B)
- 2021-04-26 13:28:46下载
- 积分：1
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C-N-for-het-conduct
C-N差分格式数值求解一维非稳态导热问题(CN difference scheme solving the heat conduction)
- 2011-07-04 11:03:30下载
- 积分：1
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Fast-Tracking
“Fast Tracking via Dense Spatio-Temporal Context Learning,” In ECCV 2014的源代码，效果非常好。(In this paper, we present a simple yet fast and robust algorithm which exploits the spatio-temporal context for visual tracking. Our approach formulates the spatio-temporal relationships between the object of interest and its local context based on a Bayesian framework, which models the statistical correlation between the low-level features (i.e., image intensity and position) from the target and its surrounding regions. The tracking problem is posed by computing a confidence map, and obtaining the best target location by maximizing an object location likelihood function. The Fast Fourier Transform is adopted for fast learning and detection in this work. Implemented in MATLAB without code optimization, the proposed tracker runs at 350 frames per second on an i7 machine. Extensive experimental results show that the proposed algorithm performs favorably against state-of-the-art methods in terms of efficiency, accuracy and robustness.)
- 2014-06-23 15:06:17下载
- 积分：1
