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09年新书，很好的知无线电 网络中的频谱接入和管理，下面是IEEE的书评： The book is divided into three parts. Part one is a general introduction to wire- less communication systems, reviewing communication architectures and tech- nologies, as well as resource allocation protocols and dynamic spectrum access, discussing features, research challenges, and standardization. Part two is a further discussion on wireless system design with a focus on analysis of dynamic spectrum access systems. A brief introduction to signal processing and optimization tech- niques is presented, as well as basics of game theory and intelligent algorithms (e.g., machine learning, genetic algo- rithms, and fuzzy logic). Finally, part three discusses in detail dynamic spec- trum access and management. Models and architectures of dynamic spectrum access are introduced and described in detail. The authors first present the cen- tralized dynamic spectrum access model, and later focus on the distributed approach. Distributed dynamic spectrum access is discussed from the algorithmic and protocol perspectives in separate chapters. Finally, a spectrum trading model is presented with its applications to wireless communications. This book is a valuable source of information for people new to the con- cept of dynamic spectrum access. Also, scientists and engineers already involved in dynamic spectrum access research will find this book a good reference source. This is one of the few books on the mar- ket related to dynamic spectrum access and cognitive radio written completely by the authors themselves. Therefore, it is very cohesive, has a very good flow, and does not repeat itself while intro- ducing new concepts, as do many edited books on a similar topic available on the market. Many concepts of dynamic spec- trum access are well systematized in the book, and the literature review is very broad and complete. One small draw- back is a bit too lengthy introduction to wireless communication systems in part two of the book (which can e

跟着导师学习，导师让我看行为识别相关的顶会论文.这是我自己做的PPT，内容详细，风格简洁

笔记 不能保证所有实现都是正确的，未经原始作者检查，只能从本文描述中重新实现。 原始纸 包含EEGNet的原始论文和模型 tf_EEGNet 这是EEGNet的张量流实现 有关更多信息，请参见 tf_ConvNet 这是ConvNet的tensorflow实现 有关更多信息，请参见 留一题实验 型号：tf_EEGNet BCI_competion 2a的预处理 1. A trial contained 2s and was extraced 0.5s after the cue was given. 2. A 4-38Hz bandpass was done by a causal 6-order Butterworth fliter. 3. The MI dataset was sampled at 250Hz. And it was resampled to 128Hz for E

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Spam Review Detection with Graph Convolutional Networks