-
svm
神经网络向量机实现算法！(Neural network vector machine algorithm!)
- 2007-08-04 10:28:33下载
- 积分：1
-
EM
说明： 用matlab语言写的EM(Expectation maximization)算法,用于模式分类(Matlab language used to write the EM (Expectation maximization) algorithm for pattern classification)
- 2007-12-24 21:33:24下载
- 积分：1
-
fractaldimensionofchaosattractor
在重构相空间的基础上计算吸引子的分形维时,合适的嵌入维m和时间滞后τ的选取至关重要.在虚假邻域概念基础上,本文给出了确定m和τ的方法.较之以前的方法,此方法更准确、简单、容易理解、易实施,对较小样本数据集也可靠.最后的应用实例验证了理论的正确性.(In the reconstructed phase space based on the calculation of the fractal dimension of attractor, the appropriate embedding dimension m and time lag τ selection is essential. In a mock neighborhood based on the concept, this paper presents the method to determine m and τ. Compared with the previous methods, this method is more accurate, simple, easy to understand, easy to implement on a smaller set of sample data is also reliable. The last application example to verify the theoretical correctness.)
- 2010-03-04 10:10:17下载
- 积分：1
-
xiaoboyuyinquzao
基于MATLAB的程序，用小波变换对语音信号进行去噪(MATLAB-based program, with wavelet transform to speech signal denoising)
- 2010-05-26 09:19:31下载
- 积分：1
-
SVG-program
一种无功补偿系统SVG的simulink仿真(Simulink simulation of a reactive power compensation system of SVG)
- 2020-07-03 01:00:01下载
- 积分：1
-
csvs
基于改进差分演化算法的石油层评价指标的特征选择(Feature improved oil layer evaluation based on differential evolution algorithm choice)
- 2013-12-12 19:25:00下载
- 积分：1
-
untitled
光伏电池内部模型,simulink仿真光伏电池内部结构(The internal model of photovoltaic cells)
- 2015-04-19 16:42:29下载
- 积分：1
-
SLM
OFDM无线系统中，一种有效降低PAPR的方法，基于随机性高的特点，获得相关性很低的通信信号(OFDM wireless system, a method for effectively reducing PAPR, based on the probabilistic characteristics of high correlation of the communication signal to obtain a low)
- 2014-10-22 18:34:43下载
- 积分：1
-
MATLAB-FSK
通过做实验用MATLAB产生FSK调制信号(FSK modulation signal by doing experiments with MATLAB)
- 2012-11-26 21:24:36下载
- 积分：1
-
exercise2
sample program in feedback and control systems for electronics engineering students in malayan colleges laguna
- 2012-08-08 16:52:33下载
- 积分：1
