Results 41 to 50 of about 23,490,234 (337)
Deep Learning for Audio Signal Processing [PDF]
IEEE Journal on Selected Topics in Signal Processing, 2019 Given the recent surge in developments of deep learning, this paper provides a review of the state-of-the-art deep learning techniques for audio signal processing. Speech, music, and environmental sound processing are considered side-by-side, in order to
Hendrik Purwins +5 more
semanticscholar +1 more source
Compressive Signal Processing with Circulant Sensing Matrices [PDF]
, 2014 Compressive sensing achieves effective dimensionality reduction of signals, under a sparsity constraint, by means of a small number of random measurements acquired through a sensing matrix.
Magli, Enrico, Valsesia, Diego
core +2 more sources
Toward Millimeter-Wave Joint Radar Communications: A signal processing perspective [PDF]
IEEE Signal Processing Magazine, 2019 Synergistic design of communications and radar systems with common spectral and hardware resources is heralding a new era of efficiently utilizing a limited radio-frequency (RF) spectrum.
K. Mishra +4 more
semanticscholar +1 more source
Tensor Decomposition for Signal Processing and Machine Learning [PDF]
IEEE Transactions on Signal Processing, 2016 Tensors or multiway arrays are functions of three or more indices $(i,j,k,\ldots)$—similar to matrices (two-way arrays), which are functions of two indices $(r,c)$ for (row, column).
N. Sidiropoulos +5 more
semanticscholar +1 more source
Increasing transmission efficiency with advanced signal processing [PDF]
, 2010 Optical CDMA is an advanced and flexible communication technology with a potential to offer very energy efficient and highly scalable networking. In addition it can also deliver increased physical layer privacy and on-demand bandwidth sharing management.
Andonovic, I., Glesk, I., Michie, C.
core +3 more sources
The unpredictably eruptive dynamics of spruce budworm populations in eastern Canada
Population Ecology, EarlyView.We examine historical population data for spruce budworm from several locations through the period 1930–1997, and use density‐dependent recruitment curves to test whether the pattern of population growth over time is more consistent with Royama's (1984; Ecological Monographs 54:429–462) linear R(t) model of harmonic oscillation at Green River New ...
Barry J. Cooke, Jacques Régnière
wiley +1 more source
Statistical Mechanics and Visual Signal Processing
, 1994 The nervous system solves a wide variety of problems in signal processing. In many cases the performance of the nervous system is so good that it apporaches fundamental physical limits, such as the limits imposed by diffraction and photon shot noise in ...
Bialek, William, Potters, Marc
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Adaptive digital signal processing Java teaching tool [PDF]
, 2001 This publication presents a JAVA program for teaching the rudiments of adaptive digital signal processing (DSP) algorithms and techniques. Adaptive DSP is on of the most important areas of signal processsing, and provides the core algorithmic means to ...
Harteneck, M., Stewart, R.W.
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Signal Processing for NDE [PDF]
, 2018 Nowadays, testing and evaluating of industrial equipment using nondestructive tests, is a fundamental step in the manufacturing process. The complexity and high costs of manufacturing industrial components, require examinations in some way about the quality and reliability of the specimens.
Masoud Vejdannik +3 more
openaire +2 more sources
Network topology drives population temporal variability in experimental habitat networks
Population Ecology, EarlyView.Habitat patches connected by dispersal pathways form habitat networks. We explored how network topology affects population outcomes in laboratory experiments using a model species (Daphnia carinata). Central habitat nodes in complex lattice networks exhibited lower temporal variability in population sizes, suggesting they support more stable ...
Yiwen Xu +3 more
wiley +1 more source