数字信号处理相关，包含多类数字滤波器的介绍和原理。

Introduction-to-Digital-Filters-with-Audio-Applications

As today’s organizations are capturing exponentially larger amounts of data than ever, now is the time for organizations to rethink how they digest that data. Through advanced algorithms and analytics techniques, organizations can harness this data, discover hidden patterns, and use the newly acquired knowledge to achieve competitive advantages. Presenting the contributions of leading experts in their respective fields, Big Data: Algorithms, Analytics, and Applications bridges the gap between the vastness of Big Data and the appropriate computational methods for scientific and social discovery. It covers fundamental issues about Big Data, including efficient algorithmic methods to process data, better analytical strategies to digest data, and representative applications in diverse fields, such as medicine, science, and engineering. The book is organized into five main sections: Big Data Management―considers the research issues related to the management of Big Data, including indexing and scalability aspects Big Data Processing―addresses the problem of processing Big Data across a wide range of resource-intensive computational settings Big Data Stream Techniques and Algorithms―explores research issues regarding the management and mining of Big Data in streaming environments Big Data Privacy―focuses on models, techniques, and algorithms for preserving Big Data privacy Big Data Applications―illustrates practical applications of Big Data across several domains, including finance, multimedia tools, biometrics, and satellite Big Data processing Overall, the book reports on state-of-the-art studies and achievements in algorithms, analytics, and applications of Big Data. It provides readers with the basis for further efforts in this challenging scientific field that will play a leading role in next-generation database, data warehousing, data mining, and cloud computing research. It also explores related applications in diverse sectors, covering technologies for media/data

原来的要5分，太高了。分享一下，我只收一分，一分你买不了上当，一分你买不了吃亏

In Single Page Web Applications you’ll learn to build modern browser-based apps that take advantage of stronger client platforms and more predictable bandwidth. You’ll learn the SPA design approach, and then start exploring new techniques like structured JavaScript and responsive design. And you’ll learn how to capitalize on trends like server-side JavaScript and NoSQL data stores, as well as new frameworks that make JavaScript more manageable and testable as a first-class language. If your website is a jumpy collection of linked pages, you are behind. Single page web applications are your next step: pushing UI rendering and business logic to the browser and communicating with the server only to synchronize data, they provide a smooth user experience, much like a native application. But, SPAs can be hard to develop, manage, and test. Single Page Web Applications shows how your team can easily design, test, maintain, and extend sophisticated SPAs using JavaScript end-to-end, without getting locked into a framework. Along the way, you’ll develop advanced HTML5, CSS3, and JavaScript skills, and use JavaScript as the language of the web server and the database. This book assumes basic knowledge of web development. No experience with SPAs is required. What’s Inside Design, build, and test a full-stack SPA Best-in-class tools like jQuery, TaffyDB, Node.js, and MongoDB Real-time web with web sockets and Socket.IO Touch controls for tablets and smartphones Common SPA design mistakes Table of Contents Part 1: Introducing SPAs Chapter 1. Our first single page application Chapter 2. Reintroducing JavaScript Part 2: The SPA client Chapter 3. Develop the Shell Chapter 4. Add feature modules Chapter 5. Build the Model Chapter 6. Finish the Model and Data modules Part 3: The SPA server Chapter 7. The web server Chapter 8. The server database Chapter 9. Readying our SPA for production Appendix A. JavaScript coding standard Appendix B. Testing an SPA Book Details Paperback: 4

Cloud Computing Principles Systems and Applications

Digital Signal Processing: Principles, Algorithms and Applications

云计算是兴起的一个名词，现在大家都在说“云”。这是一本很好的云计算参考书。