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EMDs
经验模态分解程序集,一类可以有效进行信号分段以及分析和处理的源代码。(Empirical mode decomposition procedure)
- 2013-08-17 22:13:21下载
- 积分:1
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some
关于无线通信用matlab中的simulink模块仿真的例子,很实用,特适合初学者(Example of the simulation of wireless communication matlab simulink module is very useful, especially for beginners)
- 2012-09-11 11:10:50下载
- 积分:1
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GUASSpoint
高斯积分点计算程序(Matlab)编写,计算力学、工程力学方面有用(Guass point compute)
- 2010-11-27 14:20:19下载
- 积分:1
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MATLAB-BPnet
一个三层的神经网络算法,可以用来数据拟合,建模.(A three-tier neural network algorithm can be used to data fitting, modeling.)
- 2008-06-09 07:39:45下载
- 积分:1
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图标隐藏
隐藏桌面图标的工具,通过findwindow操作,代码相当简洁,适合初学者。(hide desktop icons tool that findwindow operation, code is simple and suitable for beginners.)
- 2005-05-17 17:37:26下载
- 积分:1
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Sparse-Fuzzy-Model-Identification-Matlab-ToolBox
Sparse Fuzzy Model Identification Matlab Toolox
– RuleMaker Toolbox
- 2013-12-04 01:29:59下载
- 积分:1
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hsmm
说明: 隐马尔科夫模型是关于时序的概率模型,描述由一个隐藏的马尔科夫链随机生成不可观测的状态随机序列,再由各个状态生成一个观测而产生观测序列的过程。隐藏的马尔科夫链随机生成的状态的序列,称为状态序列;每个状态生成一个观测,而由此产生的观测的随机序列,称为观测序列。马尔科夫链由初始概率分布、状态转移概率分布以及观测概率分布确定(The hidden Markov model is a probabilistic model for time series. It describes the process of randomly generating unobservable state random sequences from a hidden Markov chain, and then generating an observation by each state to produce an observation sequence. A sequence of randomly generated states of hidden Markov chains, called a sequence of states; each state produces an observation, and the resulting random sequence of observations is called an observation sequence. Markov chain is determined by initial probability distribution, state transition probability distribution and observation probability distribution)
- 2019-05-27 12:01:38下载
- 积分:1
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PSK11
BPSK programm implementation as a part of digital communication.
- 2010-10-01 16:40:46下载
- 积分:1
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Final
speech compression by dct adpcm
- 2013-02-03 12:50:22下载
- 积分:1
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RSE-v1
RSE (Regularized Selective Ensemble) is a selective ensemble learning algorithm for binay classification, which constructs ensemble under the regularization framework. In current version, the graph Laplacian serves as the regularizer, and unlabeled data can also be exploited to improve the performance.
- 2011-12-04 15:27:32下载
- 积分:1