Ergebnisse für: Sparse Signal Models
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This is the third volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs.
This book includes MATLAB codes to illustrate each of the main steps of the ...
This textbook focuses on applications of compressed sensing (CS) and sub-Nyquist sampling techniques to wireless communications such as multi-carrier, IMIMO, UWB, LTE, 5G, Internet of Things, and machine learning. Written for an engineering audience, the book is presented in a strictly mathematical ...
Many signals can be labeled with a small set of events such that each event is categorized according to its surrounding signal shapes. In this thesis, we provide a general approach based on linear state space models to learn sparse signal decompositions from single-channel and multi- channel discret...
This is the third volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs.
This book includes MATLAB codes to illustrate each of the main steps of the ...
This is the third volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs.
This book includes MATLAB codes to illustrate each of the main steps of the ...
Recovery of signals from distorted or noisy observations has been a longstanding research problem with a wide variety of practical applications. We advocate to approach these types of problems by interpreting them as input estimation in finite-order linear state-space models. Among other application...
This textbook focuses on applications of compressed sensing (CS) and sub-Nyquist sampling techniques to wireless communications such as multi-carrier, IMIMO, UWB, LTE, 5G, Internet of Things, and machine learning. Written for an engineering audience, the book is presented in a strictly mathematical ...