<p>Philipp Melzer analyses influence factors of personalised learning aiming to lay out design principles for personalised blended learning courses. Finding only weak support for a matching between learning styles and teaching methods,he defines learning tasks as the object of further investigations
A Conceptual Framework for Noise Reduction
โ Scribed by Jacob Benesty, Jingdong Chen (auth.)
- Publisher
- Springer International Publishing
- Year
- 2015
- Tongue
- English
- Leaves
- 95
- Series
- SpringerBriefs in Electrical and Computer Engineering
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Though noise reduction and speech enhancement problems have been studied for at least five decades, advances in our understanding and the development of reliable algorithms are more important than ever, as they support the design of tailored solutions for clearly defined applications. In this work, the authors propose a conceptual framework that can be applied to the many different aspects of noise reduction, offering a uniform approach
to monaural and binaural noise reduction problems, in the time domain and in the frequency domain, and involving a single or multiple microphones. Moreover, the derivation of optimal filters is simplified, as are the performance measures used for their evaluation.
โฆ Table of Contents
Front Matter....Pages i-viii
Introduction....Pages 1-2
Conceptual Framework....Pages 3-13
Single-Channel Noise Reduction in the Time Domain....Pages 15-30
Single-Channel Noise Reduction in the STFT Domain with Interframe Correlation....Pages 31-50
Binaural Noise Reduction in the Time Domain....Pages 51-65
Multichannel Noise Reduction in the STFT Domain....Pages 67-86
Back Matter....Pages 87-89
โฆ Subjects
Signal, Image and Speech Processing; Communications Engineering, Networks
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