-
GPIBUtility
GPIButility是ADLINK公司的GPIB驱动所带的工具软件,可以自动获得所有GPIB设备信息并可作相应的各项参数设置。(ADLINK' s GPIButility is brought GPIB driver software tool that can automatically access to all GPIB device information and can set the parameters accordingly.)
- 2009-09-11 08:52:32下载
- 积分:1
-
格兰杰因果检验
说明: Python格兰杰因果检验的一些论文,详细展示了格兰杰因果检验的逻辑。(Granger Causility test)
- 2020-06-16 22:20:01下载
- 积分:1
-
Question Bank _OBE_LDICA
说明: UPLOAD RANDOM FILES TO ACTIVATE ACCOUNT
- 2019-12-27 15:11:53下载
- 积分:1
-
riccati传递矩阵法计算转子不平衡响应
求转子的不平衡响应,以及用传递矩阵法求出转子的临界转速。(Finding the Unbalanced Response of Rotor)
- 2019-05-23 20:23:57下载
- 积分:1
-
黄金暴力马丁
不惧怕重磅数据的马丁。适用于黄金波动最活跃刷单。刷佣金利器。挂1分钟图。(Martin is not afraid of heavy data. Applicable to the most active gold swipe list. Brush commission weapon. Hang 1 minute graph.)
- 2018-02-27 11:14:04下载
- 积分:1
-
CRB
说明: 克拉美罗界限,任何无偏估计量的方差确定一个下限。(Cramero bound, a lower bound for the variance of any unbiased estimator.)
- 2019-02-25 15:28:14下载
- 积分:1
-
szbtrschion
基于谱减法的语音增强在MATLAB实现源程序 不错的源码 很好(Based on the spectral subtraction speech enhancement in the MATLAB source code for the good of the source code is very good)
- 2017-08-12 19:39:05下载
- 积分:1
-
一款3d赛车游戏,界面友好.需要的朋友可以下载.
一款3d赛车游戏,界面友好.需要的朋友可以下载.-A 3d racing game and friendly interface. Need a friend can be downloaded.
- 2022-02-05 04:07:30下载
- 积分:1
-
GNUradio和USRP入门指导
GNUradio和USRP,pdf 格式,经典教材(A BOOK OF GNUradio AND USRP GNU FOR guide)
- 2018-04-22 21:08:54下载
- 积分:1
-
周志华《机器学习》图书电子版
说明: 周志华 机器学习 机器学习是计算机科学与人工智能的重要分支领域. 本书作为该领域的入门教材,在内容上尽可能涵盖机器学习基础知识的各方面。 为了使尽可能多的读者通过本书对机器学习有所了解。
作者试图尽可能少地使用数学知识. 然而, 少量的概率、统计、代数、优化、逻辑知识似乎不可避免. 因此, 本书更适合大学三年级以上的理工科本科生和研究生, 以及具有类似背景的对机器学 习感兴趣的人士. 为方便读者, 本书附录给出了一些相关数学基础知识简介(machine learningMachine learning is an important branch of computer science and artificial intelligence. As an introductory textbook in this field, this book covers all aspects of basic knowledge of machine learning as far as possible. In order to make as many readers as possible understand machine learning through this book.
The author tries to use mathematical knowledge as little as possible. However, a small amount of knowledge about probability, statistics, algebra, optimization and logic seems inevitable. Therefore, this book is more suitable for undergraduates and postgraduates of science and engineering over the third year of the University, as well as people with similar background who are interested in machine learning. For the convenience of readers, the appendix of this book gives some basic mathematical knowledge)
- 2021-01-14 23:18:59下载
- 积分:1