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Multiple Neural Networks over Clustered Data (MNCD) to Obtain Instantaneous Frequencies (IFs)

2007 International Conference on Information and Emerging Technologies, 2007
In this paper we present advantage of training MNCD for obtaining time localized frequencies (also called IF), which is one useful concept for describing the changing spectral structure of a time-varying signal, arising so often in time frequency distribution (TFD) theory.
Syed Ismail Shah +3 more
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Machinery fault diagnosis using independent component analysis (ICA) and Instantaneous Frequency (IF)

International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, 2009
Machine condition monitoring plays an important role in industry to ensure the continuity of the process. This work presents a simple and yet, fast approach to detect simultaneous machinery faults using sound mixture emitted by machines. We developed a microphone array as the sensor.
B. T. Atmaja, D. Arifianto
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Estimating Digital Instantaneous Frequency From The Linear Prediction Spectrum Using The NLMS/IFE Algorithm

Nineteeth Asilomar Conference on Circuits, Systems and Computers, 1985., 2005
This paper presents an eflicient method for estimating the digital instantaneous frequencies of narrow band inputs. Estimates are selected as the minima of the inverse input power spectrum, which is formed from the coeflicients of an adaptive linear predictor. The coefIicients are adapted at each sample using the normalized LMS, NLMS, algorithm.
D. Hush, N. Ahmed
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Optimal Time-Frequency Distribution for Instantaneous Frequency Estimation of Signals With Known IF Patterns