Søkt på: Bøker av Andreas Spanias
totalt 27 treff
Image Understanding Using Sparse Representations
Image understanding has been playing an increasingly crucial role in several inverse problems and computer vision. Sparse models form an important component in image understanding, …
Reconstruction-Free Compressive Vision for Surveillance Applications
Compressed sensing (CS) allows signals and images to be reliably inferred from undersampled measurements. Exploiting CS allows the creation of new types of high-performance sensors …
Machine Learning for Solar Array Monitoring, Optimization, and Control
The efficiency of solar energy farms requires detailed analytics and information on each panel regarding voltage, current, temperature, and irradiance. Monitoring utility-scale …
Image Understanding using Sparse Representations
Image understanding has been playing an increasingly crucial role in several inverse problems and computer vision. Sparse models form an important component in image understanding, …
Audio Signal Processing and Coding
An in-depth treatment of algorithms and standards for perceptual coding of high-fidelity audio, this self-contained reference surveys and addresses all aspects of the field. …
MATLAB(R) Software for the Code Excited Linear Prediction Algorithm
This book describes several modules of the Code Excited Linear Prediction (CELP) algorithm. The authors use the Federal Standard-1016 CELP MATLAB(R) software to describe in detail …
Narrowband Direction of Arrival Estimation for Antenna Arrays
This book provides an introduction to narrowband array signal processing, classical and subspace-based direction of arrival (DOA) estimation with an extensive discussion on …
Introduction to Kalman Filtering with MATLAB Examples
The Kalman filter is the Bayesian optimum solution to the problem of sequentially estimating the states of a dynamical system in which the state evolution and measurement processes …
An Introduction to Kalman Filtering with MATLAB Examples
The Kalman filter is the Bayesian optimum solution to the problem of sequentially estimating the states of a dynamical system in which the state evolution and measurement processes …
Node Localization in Wireless Sensor Networks
In sensor network applications, measured data are often meaningful only when the location is accurately known. In this booklet, we study research problems associated with node …
Distributed Network Structure Estimation Using Consensus Methods
The area of detection and estimation in a distributed wireless sensor network (WSN) has several applications, including military surveillance, sustainability, health monitoring, …
Machine and Deep Learning Algorithms and Applications
This book introduces basic machine learning concepts and applications for a broad audience that includes students, faculty, and industry practitioners. We begin by describing how …