The Experts below are selected from a list of 291 Experts worldwide ranked by ideXlab platform
Salvador Sales - One of the best experts on this subject based on the ideXlab platform.
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Microwave Photonic Signal Processing
Journal of Lightwave Technology, 2013Co-Authors: José Capmany, Juan Lloret, Juan Sancho, Jose Mora, Ivana Gasulla, Salvador SalesAbstract:This paper reviews the recent advances in the field of radio frequency Signal Processing using photonic devices and subsystems or microwave photonic (MWP) Signal Processing. We focus our attention on the results reported during the last six years, as previous work has been adequately addressed in previous review papers. After a brief introduction to the basic concepts involved in MWP Signal Processing, we focus our attention on the most significant advances reported by different research groups in overcoming their main limitation factors. Recent advances in the emergent topic of integrated MWP Signal processors are also covered and the novel approaches toward the evaluation of the main figures of merit are discussed. New proposed applications and future directions of work are also considered.
Norakmal Abd Karim - One of the best experts on this subject based on the ideXlab platform.
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LibGuides: Principles of Digital Signal Processing (EKT353/3): Guides to Princ. of Digital Signal Processing (EKT353/3
2013Co-Authors: Norakmal Abd KarimAbstract:LibGuides. Principles of Digital Signal Processing (EKT353/3). Guides to Princ. of Digital Signal Processing (EKT353/3.
José Capmany - One of the best experts on this subject based on the ideXlab platform.
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Microwave Photonic Signal Processing
Journal of Lightwave Technology, 2013Co-Authors: José Capmany, Juan Lloret, Juan Sancho, Jose Mora, Ivana Gasulla, Salvador SalesAbstract:This paper reviews the recent advances in the field of radio frequency Signal Processing using photonic devices and subsystems or microwave photonic (MWP) Signal Processing. We focus our attention on the results reported during the last six years, as previous work has been adequately addressed in previous review papers. After a brief introduction to the basic concepts involved in MWP Signal Processing, we focus our attention on the most significant advances reported by different research groups in overcoming their main limitation factors. Recent advances in the emergent topic of integrated MWP Signal processors are also covered and the novel approaches toward the evaluation of the main figures of merit are discussed. New proposed applications and future directions of work are also considered.
Gael Richard - One of the best experts on this subject based on the ideXlab platform.
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Signal Processing for music analysis
IEEE Journal on Selected Topics in Signal Processing, 2011Co-Authors: Meinard Muller, Anssi Klapuri, Daniel P W Ellis, Gael RichardAbstract:Music Signal Processing may appear to be the junior relation of the large and mature field of speech Signal Processing, not least because many techniques and representations originally developed for speech have been applied to music, often with good results. However, music Signals possess specific acoustic and structural characteristics that distinguish them from spoken language or other nonmusical Signals. This paper provides an overview of some Signal analysis techniques that specifically address musical dimensions such as melody, harmony, rhythm, and timbre. We will examine how particular characteristics of music Signals impact and determine these techniques, and we highlight a number of novel music analysis and retrieval tasks that such Processing makes possible. Our goal is to demonstrate that, to be successful, music audio Signal Processing techniques must be informed by a deep and thorough insight into the nature of music itself.
David V. Anderson - One of the best experts on this subject based on the ideXlab platform.
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ICASSP - Cooperative analog-digital Signal Processing
IEEE International Conference on Acoustics Speech and Signal Processing, 2002Co-Authors: Paul Hasler, David V. AndersonAbstract:We introduce the concept of cooperative analog-digital Signal Processing, and its implications on real-time Signal Processing functions. We discuss some of the trade-offs between performing operations in the analog computing circuit and digital computing circuits, and a general framework for “cooperative analog/digital Signal Processing systems” is presented. A key aspect of the cooperative analog/digital Signal Processing systems is the fact that new advances in analog VLSI circuits make it possible to developed advanced analog Signal Processing systems with programmable elements.
