[SpringerBriefs in Electrical and Computer Engineering] Common Rail System for GDI Engines || Introduction to Internal Combustion Engines

[SpringerBriefs in Electrical and Comput

[SpringerBriefs in Electrical and Computer Engineering] Common Rail System for GDI Engines || Basic Concepts on GDI Systems

✍ Fiengo, Giovanni; di Gaeta, Alessandro; Palladino, Angelo; Giglio, Veniero 📂 Article 📅 2012 🏛 Springer London ⚖ 1003 KB

[SpringerBriefs in Electrical and Comput

[SpringerBriefs in Electrical and Computer Engineering] A Rapid Introduction to Adaptive Filtering || Introduction

✍ Vega, Leonardo Rey; Rey, Hernan 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 123 KB

In this book, the authors provide insights into the basics of adaptive filtering, which are particularly useful for students taking their first steps into this field. They start by studying the problem of minimum mean-square-error filtering, i.e., Wiener filtering. Then, they analyze iterative metho

[SpringerBriefs in Electrical and Comput

[SpringerBriefs in Electrical and Computer Engineering] A Rapid Introduction to Adaptive Filtering || Wiener Filtering

✍ Vega, Leonardo Rey; Rey, Hernan 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 197 KB

In this book, the authors provide insights into the basics of adaptive filtering, which are particularly useful for students taking their first steps into this field. They start by studying the problem of minimum mean-square-error filtering, i.e., Wiener filtering. Then, they analyze iterative metho

[SpringerBriefs in Electrical and Comput

[SpringerBriefs in Electrical and Computer Engineering] A Rapid Introduction to Adaptive Filtering || Least Squares

✍ Vega, Leonardo Rey; Rey, Hernan 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 389 KB

In this book, the authors provide insights into the basics of adaptive filtering, which are particularly useful for students taking their first steps into this field. They start by studying the problem of minimum mean-square-error filtering, i.e., Wiener filtering. Then, they analyze iterative metho

[SpringerBriefs in Electrical and Comput

[SpringerBriefs in Electrical and Computer Engineering] Sparse Representations and Compressive Sensing for Imaging and Vision || Introduction

✍ Patel, Vishal M.; Chellappa, Rama 📂 Article 📅 2013 🏛 Springer New York 🌐 English ⚖ 64 KB

Compressed sensing or compressive sensing is a new concept in signal processing where one measures a small number of non-adaptive linear combinations of the signal. These measurements are usually much smaller than the number of samples that define the signal. From these small numbers of measuremen

[SpringerBriefs in Electrical and Comput

[SpringerBriefs in Electrical and Computer Engineering] A Rapid Introduction to Adaptive Filtering || Advanced Topics and New Directions

✍ Vega, Leonardo Rey; Rey, Hernan 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 144 KB

In this book, the authors provide insights into the basics of adaptive filtering, which are particularly useful for students taking their first steps into this field. They start by studying the problem of minimum mean-square-error filtering, i.e., Wiener filtering. Then, they analyze iterative metho