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Multichannel Signal Processing With Deep Neural Networks for Automatic Speech Recognition
IEEE/ACM Transactions on Audio Speech and Language Processing, 2017Multichannel automatic speech recognition (ASR) systems commonly separate speech enhancement, including localization, beamforming, and postfiltering, from acoustic modeling.
Tara N. Sainath +11 more
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Data driven signal processing: an approach for energy efficient computing
Proceedings of 1996 International Symposium on Low Power Electronics and Design, 2002The computational switching activity of digital CMOS circuits can be dynamically minimized by designing algorithms that exploit signal statistics. This results in processors that have time-varying power requirements and perform computation on demand.
Thucydides Xanthopoulos +2 more
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Signal Processing for Experiments with Nonlinear Energy Sinks
2010This chapter summarizes several notes on signal processing and numerical computation that have been compiled in the course of performing the experiments reported throughout this volume. While these techniques are certainly not limited to processing data from nonlinear dynamics research, they have proven particularly useful in helping obtain good ...
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Signal Processing by Energy Normalization Method Based on Wavelet Packet
Key Engineering Materials, 2009Fault diagnosis is a key technology to ensure safe and reliable operation of large electromechanical equipments. Fault feature extraction is important in fault diagnosis process. For non-stationary vibration signal, energy normalization method based on wavelet packet is used to make signal processing with signals decomposed into different frequency ...
Xiao Li Xu, Shao Hong Wang, Tao Chen
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Analysis and Design of Energy Efficient Time Domain Signal Processing
Proceedings of the 2016 International Symposium on Low Power Electronics and Design, 2016Time domain signal processing (TDSP) encodes information into time rather than voltage with higher efficiency than conventional digital design. This paper performs systematical analysis on the design principle and energy efficiency of TDSP. Variation impact, which poses significant challenges to TDSP, is evaluated and a variation driven design ...
Jie Gu, Zhengyu Chen
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Advanced signal-processing algorithms for energy-efficient wireless communications
Proceedings of the IEEE, 2000Substantial progress has been made in the receiver signal-processing algorithms for wireless communications to minimize the requirements on signal-to-noise (and/or interference) power ratio and computational complexities for the same quality of service.
Constantin Ilas +9 more
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Energy-Driven Partitioning of Signal Processing Algorithms in Sensor Networks
2006In a sensor network, as we increase the number of nodes, the requirements on network lifetime, and the volume of data traffic across the network, it is often efficient to move towards hierarchical network architectures (e.g., see [5]). In such hierarchical networks, sensor nodes are clustered into groups, and their roles are divided into master and ...
Dong-Ik Ko +3 more
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Structural damage detection based on wavelet transform in strain energy signal processing
International Conference on Machine Vision, 2017Pengbo Wang
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