Image, Video Processing and Analysis, Hardware, Audio, by Joel Trussell, Anuj Srivastava, Amit K. Roy-Chowdhury, Ankur

By Joel Trussell, Anuj Srivastava, Amit K. Roy-Chowdhury, Ankur Srivastava, Patrick A. Naylor, Rama Chellappa and Sergios Theodoridis (Eds.)

This fourth quantity of a 5 quantity set, edited and authored through global best specialists, offers a assessment of the foundations, tools and strategies of significant and rising learn subject matters and applied sciences in snapshot, Video Processing and research, Hardware,  Audio, Acoustic and Speech Processing.

With this reference resource you will:

  • Quickly snatch a brand new region of research 
  • Understand the underlying ideas of a subject and its application
  • Ascertain how an issue pertains to different components and examine of the study matters but to be resolved
  • Quick instructional reports of significant and rising subject matters of analysis in picture, Video Processing and research, undefined, Audio, Acoustic and Speech Processing
  • Presents center ideas and exhibits their application
  • Reference content material on middle ideas, applied sciences, algorithms and purposes
  • Comprehensive references to magazine articles and different literature on which to construct additional, extra particular and specific knowledge
  • Edited by means of best humans within the box who, via their recognition, were in a position to fee specialists to write down on a selected topic

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Additional info for Image, Video Processing and Analysis, Hardware, Audio, Acoustic and Speech Processing

Sample text

The accuracy of the printing can be improved by new insights into process control, gamut mapping, and spectral printing. Spectral printing has the goal of replicating the reflective spectrum of the color sample, instead of simply trying to find a metameric match. This will allow the observer to see the color correctly under all illuminations, instead of just one or two. The other avenue of future research is in improving measurements of quality. This is particularly important to determine the effectiveness of gamut mapping algorithms.

D. degree in Acoustic Signal Processing from Imperial College London in 2007. Between 2007 and 2012 he was a research associate with the Center for Law Enforcement Audio Research (CLEAR). His research interests span various topics within the field of enhancement of reverberant and noisy speech signals using one or more microphones including blind room transfer function estimation and equalization, speech quality and intelligibility estimation and audio processing with ad hoc microphone arrays. E.

D. degree from the Computer Science, University of California, Los Angeles (UCLA), in 1998, 2000, and 2002, respectively. He is currently an Associate Professor with the ECE Department, University of Maryland, College Park, where he has been since 2002, with a joint appointment with the Institute for Systems Research. His current research interests include design methods and runtime control policies for high-performance, low temperature, and low-power VLSI circuits. Dr. D. Award from the Computer Science of UCLA and the George Corcoran Memorial Outstanding Teaching Award by the ECE Department, University of Maryland.

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