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Discrete-Time Signal Processing
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In this paper, the authors provide a thorough treatment of the fundamental theorems and properties of discrete-time linear systems, filtering, sampling, and discrete time Fourier analysis.Abstract:
For senior/graduate-level courses in Discrete-Time Signal Processing. THE definitive, authoritative text on DSP -- ideal for those with an introductory-level knowledge of signals and systems. Written by prominent, DSP pioneers, it provides thorough treatment of the fundamental theorems and properties of discrete-time linear systems, filtering, sampling, and discrete-time Fourier Analysis. By focusing on the general and universal concepts in discrete-time signal processing, it remains vital and relevant to the new challenges arising in the field --without limiting itself to specific technologies with relatively short life spans.read more
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Proceedings ArticleDOI
Joint routing and link scheduling for cognitive radio networks under uncertain spectrum supply
TL;DR: This paper investigates the joint routing and link scheduling problem of multi-hop CR networks under uncertain spectrum supply, model the vacancy of licensed bands with a series of random variables, and introduces corresponding scheduling constraints and flow routing constraints for such a network.
Journal ArticleDOI
Adaptive AM–FM Signal Decomposition With Application to Speech Analysis
TL;DR: An iterative method for the accurate estimation of amplitude and frequency modulations (AM-FM) in time-varying multi-component quasi-periodic signals such as voiced speech and suggests an adaptive algorithm for nonparametric estimation of AM-FM components in voiced speech.
Journal ArticleDOI
Nonminimum-phase equalization and its subjective importance in room acoustics
B.D. Radlovic,Rodney A. Kennedy +1 more
TL;DR: An alternative approach to the minimum-phase/all-pass decomposition based on iterative flattening of the room transfer function (RTF) magnitude is presented, which overcomes potential numerical problems and provides more insight into subjective aspects of magnitude and phase equalization in the reduction of acoustic reverberation.
Journal ArticleDOI
Adaptive Sampling of RF Fingerprints for Fine-grained Indoor Localization
TL;DR: This paper shows that adaptivity in sampling can lead to significant improvements in localization accuracy and under certain incoherency conditions, it is proved that the proposed scheme achieves bounded recovery error and near-optimal sampling complexity.
Journal ArticleDOI
Multi-scale enveloping spectrogram for vibration analysis in bearing defect diagnosis
Ruqiang Yan,Robert X. Gao +1 more
TL;DR: In this paper, a multi-scale enveloping spectrogram (MuSEnS) was proposed for vibration signal analysis in the condition monitoring and health diagnosis of rolling bearings, which enables simultaneous decomposition to extract and separate envelopes of the repetitively excited mechanical vibrations with different frequency coverage, thus improving the robustness in signal analysis.