Results 221 to 230 of about 5,545,221 (295)

An improved Viterbi algorithm for IF extraction of multicomponent signals

Signal, Image and Video Processing, 2017
Viterbi algorithm (VA) applied to time–frequency (TF) representation is a highly performed instantaneous frequency (IF) estimator for discrete-time signals, but it suffers from switch problem (SP) at the intersected points of multicomponents on TF plane.
Po Li
exaly   +3 more sources

On the decomposition of multichannel nonstationary multicomponent signals

Signal Processing, 2020
Abstract With their ability to cater for simultaneously for multifaceted information, multichannel (multivariate) signals have been used to solve problems that are normally not solvable with signals obtained from a single source. One such problem is the decomposition of signals which comprise several components for which the domains of support ...
Ljubisa Stankovic   +3 more
openaire   +2 more sources

Instantaneous frequency of multicomponent signals

IEEE Signal Processing Letters, 1999
The failure of the traditional definition of instantaneous frequency (IF/sub t/) in the multicomponent case has been often reported. We determine the reasons for the failure of this definition. This enables us to understand and integrate all previously reported cases in a simple unified theory.
Paulo M. Oliveira, Victor A. N. Barroso
exaly   +2 more sources

Multicomponent signals and financial constraints

Technology Analysis & Strategic Management, 2019
The inventive process creates knowledge asymmetries between research-intensive firms and external investors, making it difficult for firms to obtain funding for inventive activities.
Edward Levitas, M. Ann McFadyen
openaire   +2 more sources

Time-frequency decomposition of multivariate multicomponent signals

Signal Processing, 2018
Abstract A solution of the notoriously difficult problem of characterization and decomposition of multicomponent multivariate signals which partially overlap in the joint time-frequency domain is presented. This is achieved based on the eigenvectors of the signal autocorrelation matrix.
Ljubisa Stankovic   +3 more
openaire   +2 more sources

Receiver psychology and the evolution of multicomponent signals

Animal Behaviour, 1999
Many animals produce and respond to signals made up of multiple components. For example, many avian sexual displays are highly extravagant combinations of visual and acoustic elements, and are described as being 'multicomponent'. One possible reason for the evolution of such complex signals is that they provide more reliable information for receivers ...
C. Rowe
openaire   +3 more sources

On the use of short-time fourier transform and synchrosqueezing-based demodulation for the retrieval of the modes of multicomponent signals

open access: yesSignal Processing, 2021
In this paper, our goal is to compare different recent time-frequency (TF) approaches to retrieve the modes of multicomponent signals (MCSs). While it is acknowledged that the synchrosqueezing transform (SST) improves the readability of the time ...
Duong Hung Pham   +2 more
exaly   +2 more sources

Home - About - Disclaimer - Privacy