• Find, manipulate, and analyze your data using the Python 3.5 libraries
• Perform advanced, high-performance linear algebra and mathematical calculations with clean and efficient Python code
• An easy-to-follow guide with realistic examples that are frequently used in real-world data...

• Analyze Big Data sets, create attractive visualizations, and manipulate and process various data types
• Packed with rich recipes to help you learn and explore amazing algorithms for statistics and machine learning
• Authored by Ivan Idris, expert in python programming and proud...

This book helps engineers to grasp fundamental theories and design principles by presenting physical and intuitive explanations of switched-capacitor circuits. Numerous circuit examples are discussed and the author emphasizes the most important and fundamental principles involved in implementing state-of-the-art switched-capacitor circuits...

Recently, criterion functions based on information theoretic measures (entropy, mutual information, information divergence) have attracted attention and become an emerging area of study in signal processing and system identification domain. This book presents a systematic framework for system identification and information processing,...

When the first edition of this book was published, the idea of combining a text on digital design with one on VHDL seemed novel. At about the same time, several other books with similar themes were published. This book has now been adopted by several universities as a core text. Moreover, the first edition has now been translated into...

Fourier Analysis on Finite Groups with Applications in...