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sa4tsp
运用matlab7.0编写的应用sa处理旅行商问题(The preparation of the application of the use of matlab7.0 Traveling Salesman Problem sa deal)
- 2009-06-22 10:07:05下载
- 积分：1
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3.19 基于Kalman滤波的目标跟踪
对目标图像处理进行后，可以对目标进行追踪，卡尔曼滤波模型是目标追踪中常用的代码(After image processing, the target can be tracked. Kalman filter model is a common code in target tracking.)
- 2019-04-21 15:48:54下载
- 积分：1
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WienerScalart96
维纳滤波语音增强算法:语音增强算法的维纳滤波器，通过scalart 1996提出的实现。使用一个决策指导的方法跟踪的先验信噪比。请注意，该信号的第一0.25sec用于模型的噪声，即，它是假定的演讲之后，0.25sec开始(Wiener Filter for Noisy Speech Enhancement, implemented as proposed by Scalart 1996. Uses a decision directed method to track the a priori SNR. Note that the first 0.25sec of the signal is used to model the noise, that is, it is assumed that speech starts after that 0.25sec)
- 2013-10-21 20:49:51下载
- 积分：1
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GB
简单约束的优化算法，入门学习的简单程序,简单约束的优化算法，入门学习的简单程序,(Simple constrained optimization algorithm, started to learn the simple procedure)
- 2013-11-06 15:17:21下载
- 积分：1
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sr
说明： 运用龙格库塔算法求解朗之万方程，进而实现随机共振系统(The use of Runge-Kutta algorithm for solving Langevin equation, and then the realization of stochastic resonance systems)
- 2008-06-11 16:28:44下载
- 积分：1
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Calculator
用MATLAB来实现计算器，功能全面，请大家指正(Realization Calculator)
- 2010-01-14 12:50:42下载
- 积分：1
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BootStrap
bootstrap matlab 程序,内含4个文件(bootstrap matlab programe，there are four files)
- 2011-11-15 10:09:26下载
- 积分：1
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yucedianliukongzhi
变流器的预测控制，模型搭建成功，仿真结果符合要求。(Converter predictive control, built a successful model, the simulation results meet the requirements.)
- 2015-05-14 10:02:26下载
- 积分：1
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贝叶斯正则化算法提高 BP 网络的推广能力
采用贝叶斯正则化算法提高 BP 网络的推广能力。 在本例中，我们采用两种训练方法，即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr），用以训练 BP 网络，使其能够拟合某一附加有白噪声的正弦样本数据。(Bayesian regularization algorithm to improve the generalization ability of BP network. In this example, we use two training methods, namely LM optimization algorithm (trainlm) and Bayesian regularization algorithm (trainbr), to train BP network so that it can fit a sine additional white noise sample data.)
- 2016-09-06 09:05:45下载
- 积分：1
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coherence_MVDR
基于MVDR算法，计算两个信号的相关性的函数。(This program computes the coherence function between 2 signals
x1 and x2 with the MVDR method.
This algorithm is based on the paper by the same authors:
J. Benesty, J. Chen, and Y. Huang, "A generalized MVDR spectrum,"
IEEE Signal Processing letters, vol. 12, pp. 827-830, Dec. 2005.
x1, first signal vector of length n
x2, second signal vector of length n
L is the length of MVDR filter or window length
K is the resolution (the higher K, the better the resolution))
- 2009-03-20 01:04:30下载
- 积分：1
