Sparse time–frequency representation for signals with fast varying instantaneous frequency
نویسندگان
چکیده
منابع مشابه
Sparse Time-Frequency Representation for Signals with Fast Varying Instantaneous Frequency
Abstract: Time-frequency distributions have been used to provide high resolution representation in a large number of signal processing applications. However, high resolution and accurate instantaneous frequency (IF) estimation usually depend on the employed distribution and complexity of signal phase function. To ensure an efficient IF tracking for various types of signals, the class of complex...
متن کاملConvex Optimization approach to signals with fast varying instantaneous frequency
Motivated by the limitation of analyzing oscillatory signals composed of multiple compo-nents with fast-varying instantaneous frequency, we approach the time-frequency analysisproblem by optimization. Based on the proposed adaptive harmonic model, the time-frequency representation of a signal is obtained by directly minimizing a functional, whichinvolves few properties an “ideal...
متن کاملTime-Frequency Rate Representation for IF Rate Estimation of Signals with Fast Varying Phase Function
An efficient approach for instantaneous frequency (IF) rate estimation is proposed. It is based on a timefrequency rate representation with complex-lag argument. The proposed representation is derived in a manner to reduce the spread factor, and thus to provide high concentration along the IF rate. Due to the significantly reduced spread factor, it is suitable for periodically frequency modulat...
متن کاملInstantaneous frequency decomposition: an application to spectrally sparse sounds with fast frequency modulations.
Classical time-frequency analysis is based on the amplitude responses of bandpass filters, discarding phase information. Instantaneous frequency analysis, in contrast, is based on the derivatives of these phases. This method of frequency calculation is of interest for its high precision and for reasons of similarity to cochlear encoding of sound. This article describes a methodology for high re...
متن کاملFast Reconstruction of SAR Images with Phase Error Using Sparse Representation
In the past years, a number of algorithms have been introduced for synthesis aperture radar (SAR) imaging. However, they all suffer from the same problem: The data size to process is considerably large. In recent years, compressive sensing and sparse representation of the signal in SAR has gained a significant research interest. This method offers the advantage of reducing the sampling rate, bu...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IET Radar, Sonar & Navigation
سال: 2015
ISSN: 1751-8792,1751-8792
DOI: 10.1049/iet-rsn.2015.0116