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彩色电视原理
电视机原理的全套教学PPT，讲解细致深入。
彩色电视原理
电视机原理的全套教学PPT，讲解细致深入。-Principles of Color TV
- 2022-10-14 22:30:05下载
- 积分：1
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基于RTW语者识别matlab程序
识别不同说话人的语音识别系统，采用dtw作用matlab实现(recognize different people who speak)
- 2018-10-27 14:16:14下载
- 积分：1
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67030674power-flow
说明： 主要计算机潮流计算，快速迭代速算，非常好用(Main computer power flow calculation, fast iteration)
- 2019-12-25 13:00:46下载
- 积分：1
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evolution game
进化博弈论算法，解决感知网络中联合感知的问题(evolutionary game code)
- 2018-04-09 05:43:16下载
- 积分：1
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小提琴图 (1)
说明： The source code of data analysis using R language does not contain data sets. If you need to contact us
- 2019-02-23 14:46:45下载
- 积分：1
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伯克利大学量子计算课程讲义（cs191）berkeley university quantum computing course lecture notes...
伯克利大学量子计算课程讲义（cs191）berkeley university quantum computing course lecture notes-berkeley university quantum computing course lecture notes
- 2023-04-03 13:15:12下载
- 积分：1
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自适应动态规划,数据驱动模型 ADPLib_V1.2
说明： 自适应动态规划,数据驱动模型Computational adative optimal control for continuous-time linear systems with conpletely unknown dyanmics(Computational adative optimal control for continuous-time linear systems with conpletely unknown dyanmics)
- 2020-06-16 13:20:02下载
- 积分：1
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用c#实现的俄罗斯方块程序,功能全面,画面很漂亮,内置各种音效,定能惹的大家喜欢...
用c#实现的俄罗斯方块程序,功能全面,画面很漂亮,内置各种音效,定能惹的大家喜欢-With c# Realize the procedure of the Russian box, full-featured, very beautiful picture, built all kinds of sound, making the U.S. will be able to like
- 2022-06-15 03:34:05下载
- 积分：1
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DIY辅助学院OD
说明： henhaoyongdehaohaohao(henhaoyongde haohaohao)
- 2020-03-02 20:59:51下载
- 积分：1
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盲源分离
常用的盲分离算法有二阶统计量方法、高阶累积量方法、信息最大化（
Infomax
）以及独
立成分分析（
ICA
）等。这些方法取得最佳性能的条件总是与源信号的概率密度函数假设有关，
一旦假设的概率密度与实际信号的密度函数相差甚远，分离性能将大大降低。本文提出采用
核函数密度估计的方法进行任意信号源的盲分离，并通过典型算例与几种盲分离算法进行了
性能比较，验证了方法的可行性。(The commonly used blind separation algorithms include two order statistics, higher order cumulants, and maximization of information
Infomax) and independent component analysis (ICA). The conditions for obtaining the best performance of these methods are always related to the hypothesis of the probability density function of the source signal. The separation performance will be greatly reduced when the assumed probability density is very different from the density function of the actual signal. In this paper, a method of kernel function density estimation for blind separation of arbitrary signal sources is proposed. The performance of several blind separation algorithms is compared with some typical examples, and the feasibility of the method is verified.)
- 2021-03-08 10:09:29下载
- 积分：1
