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

[SpringerBriefs in Electrical and Comput

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

✍ Patel, Vishal M.; Chellappa, Rama 📂 Article 📅 2013 🏛 Springer New York 🌐 English ⚖ 601 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] Sparse Representations and Compressive Sensing for Imaging and Vision || Compressive Acquisition

✍ Patel, Vishal M.; Chellappa, Rama 📂 Article 📅 2013 🏛 Springer New York 🌐 English ⚖ 923 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] Sparse Representations and Compressive Sensing for Imaging and Vision || Dictionary Learning

✍ Patel, Vishal M.; Chellappa, Rama 📂 Article 📅 2013 🏛 Springer New York 🌐 English ⚖ 292 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] Sparse Representations and Compressive Sensing for Imaging and Vision || Concluding Remarks

✍ Patel, Vishal M.; Chellappa, Rama 📂 Article 📅 2013 🏛 Springer New York 🌐 English ⚖ 67 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] Sparse Representations and Compressive Sensing for Imaging and Vision || Sparse Representation-based Object Recognition

✍ Patel, Vishal M.; Chellappa, Rama 📂 Article 📅 2013 🏛 Springer New York 🌐 English ⚖ 814 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 || 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 Computer Engineering] Sparse Representations and Compressive Sensing for Imaging and Vision || Introduction

✦ Synopsis