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timesample
基于 MATLAB 的时域信号采样及频谱分析,是很好的学习时域信号的matlab源代码。(MATLAB-based time-domain signal sampling and spectral analysis, is a very good study of time-domain signal matlab source code.)
- 2009-07-16 21:10:27下载
- 积分:1
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svc2
说明: 三相无功补偿(svc)matlab仿真,希望大家相互学习!(Three phase reactive compensation
)
- 2011-03-04 15:57:08下载
- 积分:1
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uwb使用bpsk调制解调的发送和接收 UWB_BPSK_transreceiver
MATLAB仿真uwb使用bpsk调制解调的发送(TX)和接收(RX)(MATLAB uwb bpsk use of modulation and demodulation of this (TX) and receive (RX))
- 2007-04-22 01:42:05下载
- 积分:1
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redgreen
此程序用于计算高光谱数据研究中的红谷吸收深度和绿峰反射高度(This program used to calculate the spectral data of the absorption depth of red and green valley high peak reflectivity)
- 2010-08-21 09:37:19下载
- 积分:1
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Matlab-for-Copula
至今最全的Copula函数计算程序,包含参数估计、模型检验、随机模拟等(Copula function has the most complete computer program, including parameter estimation, model checking, stochastic simulation, etc.)
- 2020-12-15 15:29:14下载
- 积分:1
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400M
单载波和光OFDM信号调试400M带宽5G信号,载频可变,采样率50G(Single-carrier and the bandwidth of the optical OFDM signal debugging 400M 5G signal carrier frequency variable sampling rate 50G)
- 2015-12-05 01:20:36下载
- 积分:1
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Application_of_the_optimization_function_in_MATLAB
介绍了matlab中常用的优化函数并给出了算例(Describes the commonly used optimization function matlab)
- 2010-02-23 10:30:06下载
- 积分:1
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audio
the matlab codes for sampling audio file and filtering it.
- 2011-01-25 16:27:33下载
- 积分:1
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MATLAB
这是一个简单的画图程序,很适和初学者使用。(huatu)
- 2010-05-14 15:01:55下载
- 积分:1
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elm_example
极限学习机(extreme learning machine)ELM是一种简单易用、有效的单隐层前馈神经网络SLFNs学习算法。2006年由南洋理工大学黄广斌副教授提出。传统的神经网络学习算法(如BP算法)需要人为设置大量的网络训练参数,并且很容易产生局部最优解。极限学习机只需要设置网络的隐层节点个数,在算法执行过程中不需要调整网络的输入权值以及隐元的偏置,并且产生唯一的最优解,因此具有学习速度快且泛化性能好的优点。(Extreme Learning Machine (extreme learning machine) ELM is an easy-to-use and effective single hidden layer feedforward neural network the SLFNs learning algorithm. 2006 by the Nanyang Technological University Associate Professor Huang Guangbin. Traditional neural network learning algorithm (BP) artificial network training parameters, and it is easy to generate a local optimal solution. Extreme Learning Machine network only need to set the number of hidden nodes, the algorithm implementation process does not need to adjust the network input weights and hidden element of bias, and only optimal solution, so the learning speed and generalization good performance advantages.)
- 2013-03-29 13:05:47下载
- 积分:1