I will first introduce the necessary concepts and tools of verification, then I'll describe a process for planning and carrying out an effective functional verification of a design. I will also introduce the concept of coverage models that can be used in a coveragedriven verification process. It will be necessary to cover some VHDL and Verilog language semantics that are often overlooked or oversimplified in textbooks intent on describing the synthesizeable subset. These unfamiliar semantics become important in understanding what makes a wellimplemented and robust testbench and in providing the necessary control and monitor features. Once these new semantics are understood in a familiar language, the same semantics are presented in new verification-oriented languages. I will also present techniques for applying stimulus and monitoring the response of a design, by abstracting the physical-level transac-tions into high-level procedures using bus-functional models. The architecture of testbenches built around these bus-functional models is important to create a layer of abstraction relevant to the function being verified and to minimize development and maintenance effort. I also show some strategies for making testbenches selfchecking. Creating random testbenches involves more than calling the random() function in whatever language is used to implement them. I will show how random stimulus generators, built on top of busfunctional models, can be architected and designed to be able to produce the desired stimulus patterns. Random generators must be easily externally constrained to increase the likelihood that a set of interesting patterns will be generated. Behavioral modeling is another important concept presented in this book. It is used to parallelize the implementation and verification of a design and to perform more efficient simulations. For many, behavioral modeling is synonymous with synthesizeable or RTL modeling. In this book, the term "behavioral" is used to

本书为泛函分析的经典教材,一直被世界各国的大学作为教材来使用.

磁共振成像入门书，脑成像的基础内容，内含很多数据处理方法

This book is an introductory text in functional analysis. Unlike many modern treatments, it begins with the particular and works its way to the more general. From the reviews: 'This book is an excellent text for a first graduate course in functional analysis...Many interesting and important applications are included...It includes an abundance of exercises, and is written in the engaging and lucid style which we have come to expect from the author.' --MATHEMATICAL REVIEWS

Springer上面的电子书籍,做IC验证时候用的，英文，我想做IC的看这种资料，应该没有啥问题吧？

Graduate Texts of Mathematics （简称GTM）是Springer出版社出版的一套数学专业研究生教材，在国际上有很大影响，也是国内外多所著名大学的博士生中期考试（国外叫博士生资格考试）的指定参考书。

matlab发布excel数据代码功能随机森林（FRF）手册 在E. Feczko博士的论文中介绍了功能随机森林。 等。 本手册记录了如何使用Eric Feczko编写的RFAnalysis软件包。 该手册分为两个主要部分。 第一部分介绍如何使用随机森林子组检测（RFSD）工具分析横截面数据。 第二部分介绍如何使用函数随机森林（FRF）工具分析纵向轨迹。 简短的介绍将引导用户安装软件。 安装 获取包装 FRF代码可以在github上找到。 该存储库旨在作为稳定版本公开发布。 对于开发版本，请联系Eric Feczko（）或Fair Lab。 仓库本身可以通过使用git安装在任何位置： https://github.com/DCAN-Labs/functional-random-forest.git /destination/path/for/FRF 依存关系 FRF有两种版本，源版本和编译版本。 源FRF有两个外部依赖项： MATLAB 2016版或更高版本 MATLAB机器学习和统计工具箱 MATLAB Parallell Computing工具箱[可选] 编译的FRF具有一个外部依

经典之作，收藏

从普适计算的角度出发，探索不同时空尺度的神经元组件之间的有效连通性是人脑研究中的重要问题。 同时，网络主题在网络分类和结构网络特性分析中发挥作用。 本文开发了一种通过使用网络图案来分析功能磁共振成像（fMRI）数据的有效连通性的方法。 首先，基于格兰杰因果关系分析（GCA）分析了功能磁共振成像时间序列之间的有向相互作用，从而建立了复杂的网络以揭示不同大脑区域之间的因果关系。 然后用多种网络图案描述了复杂网络中的有效连通性，并根据网络图案拓扑参数表征了fMRI数据的统计特性。 最后，实验结果表明，该方法在测试和测量fMRI数据的有效连通性方面是可行的。

A Course in Functional Analysis 经典泛函分析教程