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clusterfunc
Cluster Detection in FCM
- 2010-08-10 21:28:02下载
- 积分：1
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affine
Affine Transformation
- 2009-12-12 13:57:17下载
- 积分：1
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5
说明： matlab仿真程序，帧差法提取运动图像，效果很好(matlab simulation program, the frame difference method to extract moving images, with good results)
- 2011-10-27 19:54:10下载
- 积分：1
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d_iceland
IEEE39节点动态系统参数，其中各节点的数据准确性都经过校验检查。(IEEE39 node dynamic system parameters, data accuracy check each node have been checked.)
- 2015-04-18 14:33:22下载
- 积分：1
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pdsch
LTE下行共享信道PDSCH链路仿真代码,仿真已测试 没有问题 很全面(pdsch simulation )
- 2020-06-26 20:40:01下载
- 积分：1
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matlab
对具有随机噪声的二阶系统的模型辨识，进行标幺化以后系统的参考模型差分方程为
(7.90)
式中， 为随机噪声。由于神经网络的输出最大为1，所以，被辨识的系统应先标幺化，这里标幺化系数为5。利用图7.5正向建模(并联辨识)结构，神经网络选用3-9-9-1型，即输入层i，隐层j包括2级，输出层k的节点个数分别为3、9、9、1个；
(Model identification of two order systems with stochastic noise)
- 2016-07-19 10:39:20下载
- 积分：1
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电子通信系统的建模与仿真
第7章 通信系统差错控制仿真
7.1 缩短卷积码
7.2 有缩短卷积码加交织的差错控制系统研究
7.3 自适应均衡系
电子通信系统的建模与仿真
第7章 通信系统差错控制仿真
7.1 缩短卷积码
7.2 有缩短卷积码加交织的差错控制系统研究
7.3 自适应均衡系统（LMS算法）
7.4 迭代译码的级联卷积码
-Electronic communications system modeling and simulation of Chapter 7 error control communication systems simulation 7.1 shortened 7.2 convolutional code convolutional code increases have shortened intertwined system of error control 7.3 adaptive equalization system (LMS algorithm) Iterative Decoding of level 7.4 convolutional codes in conjunction
- 2022-08-16 15:44:44下载
- 积分：1
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probabilitydistribution
本文利用文献〔1〕、〔2〕、〔3〕中关于指数分布的特征刻划与稳定性定理,得到了均匀分布,瑞利(Rayleigh)分布和威布尔(Weibull)分布的一些特征性质与稳定性结果(In this paper, literature 〔1〕 〔2〕 〔3〕 on Exponential Distribution and characterization and stability theorem, the uniform distribution, Rayleigh (Rayleigh) and Weibull (Weibull) distribution in the nature of some features Stability Results)
- 2010-08-23 21:57:35下载
- 积分：1
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CC_method
CC_method:CC
- 2008-12-01 18:04:26下载
- 积分：1
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CHAOGAOSI
研究表明超高斯分布更加贴近语音信号的实际分布，然而语音信号很难用单一的概率密度
函数准确描述，针对这一情况，提出了一种用超高斯混合模型对语音信号幅度谱建模的新方法，并推导了
基于此模型的幅度谱最小均方误差估的估计式。仿真结果表明：与传统的短时谱估计算法相比，该算法不
仅能够进一步提高增强语音的信噪比，而且可以有效减小增强语音的失真度，提高增强语音的主观感知
质量。 (Recent research indicates that the speech spectral amplitude distributions could
be fairly described with super-Gaussian probability density function. However, the complexity
of speech signal determines that the distribution statistics ofspeech signal could not be well
described by single simple function. Thus a super-Gaussian mixture model for speech spectral
amplitude is proposed, and with this model, a minimum mean-square error (MMSE) estimator for speech
signals spectral amplitude is derived. The simulation results show that this algorithm based on
Gaussian and super-Gaussian speech model could achieve better noise suppression and lower speech
distortion as compared with the conventional short-time spectral amplitude estimation algorithm. )
- 2014-01-18 10:13:52下载
- 积分：1
