matlab匹配滤波代码电子Prime数据获取 ABCD项目使用e-Prime软件在fMRI扫描期间运行行为测试。 E-Prime生成具有行为结果的EDAT2(二进制)文件。 EDAT2文件在获取站点被转换为ASCII TAB分隔(首选)或逗号分隔的电子表格文件(分别为扩展名.txt和.csv),以进行进一步分析。 我们已经观察到了这种转换过程中产生的几种类型的错误。 eprime_sprdsht_get.py读取包含E-Prime电子表格的文本文件,检测文件的编码和格式,解释其内容,同时解决已知的编码问题,在文件中识别电子表格中的行为任务,提取实验的开始日期和时间,编号实验中的运行次数,以及每次运行的开始时间。 然后,它评估文件中的每次运行与指定的pGUID,任务名称以及序列日期和时间之间的匹配。 如果提供了目录或路径,程序将查找并处理该路径下的所有文件,以查找与所提供的参数(pGUID,任务,系列日期和时间)最匹配的文件。 程序将为每个文件返回一个诊断号,以总结其格式和内容。 如果需要,脚本将导出特定E-Prime文件的标准格式的纯净版本。 我们包括一个附加脚本abcd_get_e
2023-11-06 16:13:13 15KB 系统开源
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The trend towards higher resolutions, higher fame rates, and higher color depth in flat panel displays, particularly LCD panels, is pushing the capabilities of previous interfaces. This trend is even exceeding display drivers to the limit. The aggregate bandwidth requirement for state-of-the art d
2023-11-06 11:22:39 1.39MB
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请在ahalei.com上下载相关资源! 如有疑问请访问ahalei.com!
2023-11-05 21:54:49 5.3MB
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7-Data Recovery Suite企业版 是一款多功能一体化的数据恢复软件,界面风格是现在流行的 Metro 风格,该软件几乎可以恢复您在任何情况下丢失的文件。可以从硬盘、内存卡、闪存驱动器和安卓手机中恢复已丢失或者已删除的照片、文件、分区以及更多的相关文件。
2023-11-05 17:25:46 3.35MB 数据恢复
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vAlgorithms Data Structures=Programs.Algorithms Data Structures=Programs.Algorithms Data Structures=Programs.
2023-11-04 19:19:44 1.18MB c.语言
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使用说明:请在醒目的地方标明 当前版本:5.0,后面不折腾了,折腾不动了,就在这个版本上维护了 前台地址: 用户名密码自己注册 后台地址: 用户名:test密码:123123 如果发现了bug或有好的建议,欢迎提问题,当然更欢迎pr 文件 文档地址打不开看这里(需要电脑上配置好maven环境) 下载项目,进入到文档文件夹里,然后运行mvn clean compile运行完成后,在docs/target/generated-docs里会生成一堆的html文件,用浏览器打开index.html即可查看 技术栈 Spring启动 四郎 MyBatis-Plus 引导程序 MySQL 自由标记 雷
2023-10-24 21:27:55 6.79MB redis elasticsearch spring-boot spring-data
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Data_structures_algorithms_tutorial
2023-10-18 23:22:45 3.19MB data structures and algorithms
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This textbook explains the concepts and techniques required to write programs that can handle large amounts of data efficiently. Project-oriented and classroom-tested, the book presents a number of important algorithms supported by examples that bring meaning to the problems faced by computer programmers. The idea of computational complexity is also introduced, demonstrating what can and cannot be computed efficiently so that the programmer can make informed judgements about the algorithms they use. Features: includes both introductory and advanced data structures and algorithms topics, with suggested chapter sequences for those respective courses provided in the preface; provides learning goals, review questions and programming exercises in each chapter, as well as numerous illustrative examples; offers downloadable programs and supplementary files at an associated website, with instructor materials available from the author; presents a primer on Python for those from a different language background. Table of Contents Chapter 1 Python Programming 101 Chapter 2 Computational Complexity Chapter 3 Recursion Chapter 4 Sequences Chapter 5 Sets and Maps Chapter 6 Trees Chapter 7 Graphs Chapter 8 Membership Structures Chapter 9 Heaps Chapter 10 Balanced Binary Search Trees Chapter 11 B-Trees Chapter 12 Heuristic Search Appendix A: Integer Operators Appendix B: Float Operators Appendix C: String Operators and Methods Appendix D: List Operators and Methods Appendix E: Dictionary Operators and Methods Appendix F: Turtle Methods Appendix H: Complete Programs
2023-10-18 23:12:32 12.82MB "Data Structures" Algorithms Python
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Data Structures and Algorithms Made Easy 5th
2023-10-18 23:11:41 32.76MB Data Structures and Algorithms
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