stationary signal
Spatial time frequency distribution of cross term based direction of arrival estimation for weak non stationary signal
... source signal covariance matrix to the data spatial covariance ...array signal processing could be used, and core problems for various situations of array processing, especially those addressing ...
12
Non Stationary Signal Segmentation and Separation from Joint Time Frequency Plane
... correct signal segmentation to in- dicate the boundary of its amplitude or frequency ...Further signal processing is needed at this stage and non- linear interpolation must be employed to interpolate the ...
5
A NEW APPROACH FOR PATTERN RECOGNITION OF NON-STATIONARY SIGNAL USING FWNN
... The extracted features (Standard deviation, &Normalized values) have been taken for non- stationary power signal classification using fuzzy wavelet neural networks (FWNN). Fig-1 illustrates the use of ...
9
Discriminant non-stationary signal features’ clustering using hard and fuzzy cluster labeling
... Current approaches to improve the pattern recognition performance mainly focus on either extracting non-stationary and discriminant features of each class, or employing complex and nonlinear feature classifiers. ...
20
Electric fish approach stationary signal sources by following electric current lines
... brachyistius can determine neither the distance nor the direction of an electric dipole from afar, but that they do manage to find the source by maintaining a precise alignment of their [r] ...
9
Biomedical Application of the Evolutionary Higher-Order Spectrum
... ECG signal is one of the most important signals in cardiogram ...ECG signal and the subsequent wave group identification has been a hot research ...ECG signal is not considered a stationary ...
10
Discrete Time Frequency Signal Analysis and Processing Techniques for Non Stationary Signals
... DOI: 10.4236/jamp.2018.69163 1926 Journal of Applied Mathematics and Physics time-frequency structure. In the DWVD, the kernel ∅ ( ) θ τ , = 1 introduces cross terms. These cross-terms will be reduced by introducing the ...
12
EMD Based on Independent Component Analysis and Its Application in Machinery Fault Diagnosis
... non-stationary signal analysis and processing is one of the most important research areas in information science ...non-stationary signal is usually assumed to be local stationary and ...
5
Pitting Fault Detection of a Wind Turbine Gearbox Using Empirical Mode Decomposition
... non- stationary signal into a collection of intrinsic mode functions (IMFs); EMD has been widely applied to measurement analysis and fault diagnosis in mechanical ...
9
Detecting position dependent tremor with the Empirical mode decomposition
... The disadvantage of applying the Fourier transform (FFT) to these kinds of signals is the a-priori assumption of a linear and periodic or stationary signal i.e. a sine or cosine of constant amplitude and ...
6
WIRELESS BIO-RADAR SENSOR FOR HEARTBEAT AND RESPIRATION DETECTION
... heart signal itself, the stationary human body reflection, the antenna leakage signal, and the mixer leakage ...received signal is correlated with that of the LO, and the phase noise is ...
20
MMSE based Noise Tracking and Echo Cancellation of Speech Signals
... undesirable signal which combines with the original speech signal is referred to as ...the signal will reduce clarity of speech and create undesirable effects at the ...Any signal from the ...
5
The Enhanced Ensemble Empirical Mode Decomposition for Analyzing Non Linear and Non Stationary Signals K Ganga Bhavani, T. Durga Rao
... a signal of a similar scale residing in different IMF components When mode mixing occurs, an IMF can cease to have physical meaning by itself, suggesting falsely that there may be different physical processes ...
7
Hybrid Vehicle (HV) Engine Vibration Sources Detection And Identification Using Time-Frequency Analysis
... is signal processing. This signal processing uses the Fast Fourier Transform (FFT) script/coding that will be create in Matlab ...vibration signal generate by the sensor at different tapping location ...
24
Adaptive interference suppression for DS-CDMA systems based on interpolated FIR filters with adaptive interpolators in multipath channels
... of the received signal and retrieving them through interpolation. The gains in convergence performance over full-rank solutions are obtained through the reduction of the number of parameters for estimation, ...
20
Automatic Signal Extraction for Stationary and Non Stationary Time Series by Circulant SSA
... Singular Spectrum Analysis (SSA) is a nonparametric tecnique for signal extraction in time series based on principal components. However, it requires the intervention of the analyst to identify the frequencies ...
27
Apparatus and method for on line barkhausen measurement
... Barkhausen signal of a moving magnetic film, ribbon or fiber wherein first and second stationary electromagnet coils are arranged and separated by a distance, d, along the path of movement of the film, ...
6
Linear friction weld process monitoring of fixture cassette deformations using empirical mode decomposition
... Due to its inherent advantages, linear friction welding is a solid-state joining process of increasing importance to the aerospace, automotive, medical and power generation equipment industries. Tangential oscillations ...
24
Stationary time vertex signal processing
... The idea of studying the stationarity of a random vector w.r.t. a graph was first introduced in [18, 27] and then in [17, 19]. While these contributions have different start- ing points, they both roughly propose the ...
19
Parameter estimation under non-stationary circumstances using extended signal model
... Modern power system operation requires sophisticated mon- itoring and analysis since the power distribution policy changes from unidirectional central power generation to a highly meshed grid of distributed and varying ...
6