-
基于非负矩阵分解算法进行盲信号分离
基于非负矩阵分解算法进行盲信号分离(based on non-negative matrix factorization algorithm for Blind Signal Separation)
- 2004-11-11 22:02:13下载
- 积分：1
-
数字信号处理(原书第2版中文版)
说明： 书中详细的讲解了数字信号处理的过程和每一步内容，对学习很有帮助。(The book explains the process of digital signal processing and each step in detail, which is very helpful for learning.)
- 2020-09-07 14:38:06下载
- 积分：1
-
MATLAB数字信号处理85个实用案例精讲.入门到进阶3
说明： MATLAB数字信号处理85个实用案例精讲.入门到进阶第三部分
由于平台大小限制，请到我个人主页下载完3个部分一起观看(85 practical cases of matlab digital signal processing
Due to the size limitation of the platform, please go to my personal homepage to download the three parts and watch them together)
- 2021-02-06 23:18:04下载
- 积分：1
-
MATLABSimulink电力系统建模与仿真
这是一本电力系统行业MATLAB应用的经典书籍，有大量的仿真例子和代码(This is a classic book on power system industry MATLAB applications, there are a large number of simulation examples and code)
- 2017-11-20 16:31:25下载
- 积分：1
-
土人播放器
记号的土人播放器.rar 由 VB 做的(mark of native players. Rar done by VB)
- 2004-12-11 18:10:46下载
- 积分：1
-
周志华_机器学习高清扫描版
Zhi-Hua Zhou received his B.Sc., M.Sc. and Ph.D. degrees in computer science from Nanjing University, China, in 1996, 1998 and 2000, respectively, all with the highest honor. He joined the Department of Computer Science & Technology of Nanjing University as an Assistant Professor in 2001, and at present he is a Professor, Deputy Dean of the Department of Computer Science and Technology, Standing Deputy Director of the National Key Lab for Novel Software Technology, and Founding Director of LAMDA (the Institute of Machine Learning and Data Mining) at Nanjing University.
- 2018-02-14 14:31:59下载
- 积分：1
-
4a-+Ch+9+Hypothesis+Testing
this a probabilistic thing from a analytical class
- 2019-04-09 06:21:03下载
- 积分：1
-
《通信原理》习题参考答案
《通信原理》习题参考答案 樊昌信编的第5版的1-5章习题解答("Communication Theory" Fan answer the questions reference letter series version 5 1-5 Chapter answer Exercises)
- 2020-06-26 07:40:02下载
- 积分：1
-
tushu
课程设计还有报告，我自己做的，关于图书馆里系统(ok)
- 2009-07-05 10:43:04下载
- 积分：1
-
机器学习实战（高清 中文版）
说明： 机器学习实战（高清 中文版）
作者： Peter
本书通过精心排的实例切入日常工作任务摒弃学术化语言利用高效可复用的Python 代码阐释如何处理统计数据进行数据分析及可视化。读者可从中学到一些核心的机器学习算法并将其运用于某些策略性任务中如分类、预测及推荐等。本书适合机器学习相关研究人员及互联网从业人员学习参考。(Machine learning combat (HD Chinese version)
Author: Peter
This book cuts into everyday tasks through elaborate examples. Abandoning academic language uses efficient and reusable Python code to illustrate how to process statistics for data analysis and visualization. Readers can learn some core machine learning algorithms and apply them to certain strategic tasks such as classification, prediction, and recommendation. This book is suitable for machine learning related researchers and Internet practitioners to learn reference.)
- 2019-05-19 03:06:57下载
- 积分：1
|
联系客服（QQ：3324461878）
