Understanding Digital Signal Processing Second Edition 如假包换

用matlab来学习LTE的非常好的参考书，附带源代码；

Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides a theoretical account of the fundamentals underlying machine learning and the mathematical derivations that transform these principles into practical algorithms. Following a presentation of the basics, the book covers a wide array of central topics unaddressed by previous textbooks. These include a discussion of the computational complexity of learning and the concepts of convexity and stability; important algorithmic paradigms including stochastic gradient descent, neural networks, and structured output learning; and emerging theoretical concepts such as the PAC-Bayes approach and compression-based bounds. Designed for advanced undergraduates or beginning graduates, the text makes the fundamentals and algorithms of machine learning accessible to students and non-expert readers in statistics, computer science, mathematics and engineering.

Brase's Understanding Basic Statistics Edition 6

Book Description Learn how to harness the power of delta-sigma data converters Understanding Delta-Sigma Data Converters brings readers a clear understanding of the principles of delta-sigma (ΔΣ) converter operation—analog to digital and digital to analog. It introduces the best computer-aided analysis and design techniques available. With an understanding of the great versatility of the ΔΣ converter, readers can apply their new knowledge to a wide variety of applications, including digital telephony, digital audio, wireless and wired communications, medical electronics, and industrial and scientific instrumentation. The authors make the material accessible to all design engineers by focusing on developing an understanding of the physical operation rather than getting mired in complex mathematical treatments and derivations. Written for entry-level readers, the publication has a natural flow that begins with basic concepts, enabling the readers to develop a solid foundation for the book's more complex material. The text, therefore, starts with a general introduction to the ΔΣ converter, including a brief historical overview to place it in context. Next, the publication introduces the first-order ΔΣ modulator, covering oversampling, noise-shaping, decimation filtering and other key concepts. Then, using the first-order modulator as a foundation, second and higher-order modulators are presented and analyzed. Finally, the authors delve into implementation considerations and present several design examples using the Delta-Sigma Toolbox. Everything needed to facilitate quick comprehension and help readers apply their newly learned principles is provided: Simplified methods to understand complicated concepts such as spectral estimation and switched noise References that lead to in-depth analysis of specialized topics Figures and charts that illustrate complex design issues Conclusion section at the end of each chapter that highlights the key points Reference manual for the Delta-Sigma Toolbox, along with numerous practical examples that illustrate the use of the Toolbox This is essential reading for all design engineers who want to learn and fully harness the powerful capabilities of ΔΣ data converters. Upper-level undergraduates and graduate students will find the book's logical organization and clear style, coupled with numerous practical examples, a great entry into the field.

The dataset contains 10,000 satellite images and almost 50,000 mesoscale cloud clusters. 这个数据集包含10,000个卫星图像以及近50,000个中尺度云簇 Understanding Clouds from Satellite Images_datasets.txt

Understanding ECMAScript 6 中文版

一本不错关于Delta-Sigma转换器的书 Understanding Delta Sigma Data Converters

Understanding Basic Calculus 《理解微积分基础》（S.K. Chung）

情绪急救数据集 心理咨询问答语言料库，仅限研究用途。 为什么发布这个语料库 心理咨询中应用人工智能，是我们认为非常有价值的一个探索。我们愿意和更多人合作，把目前领先的人工智能技术，在心理咨询不同场景定位地。扣门的，就给他开门，愿每个人都有自己的心理咨询师。 - 数据集介绍 心理咨询问答语料库（以下也称为“数据集”，“语料库”）是为应用人工智能技术于心理咨询领域制作的语料。据我们所知，这是心理咨询领域首个开放的QA语料库，包括20,000条心理咨询数据，也是公开的最大的中文心理咨询对话语料。数据集内容丰富，不但存在多轮对话内容，也有分类等信息，制作过程耗费大量时间和收益，标注过程是针对多轮对话的，平均每条标记耗时1分钟。 数据集由斯坦福大学，UCLA和台湾辅仁大学临床心理学等心理学专业人士参与建设，并由Chatopera和众多志愿者合作完成。 数据文件位置 ，该文件为Gzip压缩，utf8