摘要: We proposed a deep model that captures the spatiotemporal dependence of time series.We transform the time series classification task into an image classification task.Our method can classify time series from both time and frequency-domain perspectives....
Techniques for selecting sets of features from time-domain data and frequency-domain data are presented. The performance of radar target identification systems employing the resulting sets of features is evaluated by means of Monte-Carlo simulation studies 展开 ...
This paper presents an image matching algorithm based on time and frequency domain characteristics. Firstly, the value of translation and rotation angle can be rough estimated in the frequency domain of image using Fourier transform; Then, SIFT feature points were extracted in the time domain of th...
Themostimportantruleinthefrequencydomainisthattheonlykindofwaveformsthatexistaresinewaves.Sinewavesarethelanguageofthefrequencydomain.Infact,therearefourpropertiesthatmakesinewavesveryusefulfordescribinganyotherwaveform.Thesepropertiesareasfollows:1.Anywaveforminthetimedomaincanbecompletelyanduniquelydescribedbycombinations...
processing, instead of viewing a time series as a one-dimensional signal, time–frequency analysis studies a signal in both time and frequency domains simultaneously by some function whose domain is the two-dimensional real plane to extract transient features from the signal by a time–frequency ...
Speech analysis is performed using short-time analysis to extract features in time domain and frequency domain. The short time domain analysis is useful for computing the time domain features like energy and zero crossing rate. The different frequency or spectral components that are present in the ...
Waves in the Frequency Domain T I P The most important quality of the frequency domain is that it is not real. It is a mathematical construct. The only reality is the time domain. The frequency domain is a mathematical world where very specific rules are followed. We hear the term ...
We present in this paper the use of frequency domain features deduced from the energy density spectrum to improve the detection of landmines. The energy density spectrum is obtained from the GPR measurements at an alarm location, and a method to estimate the energy density spectrum is proposed. ...
Both in the time and frequency domains, a signal corresponds to a specific vibration "mode", or shape taken up by the network, system or structure during vibration. From the vantage point of the modal domain, the total set of vibrating "modes" of a signal will reveal the signal's...
For this type of signals, neither the time-domain features nor the frequency-domain ones can provide enough information for an effective diagnosis due to their lack of information in each other domain. The time–frequency distribution (TFD) combines the information in time and in frequency. It ...