With the rapid and ongoing developments in telecommunication and electronic warfare technology, faster and more flexible systems are in demand. Wideband signal processing is thus needed to implement such systems. Microwave photonics has been introduced as a tool for achieving such ultra broadband signal processing. Instantaneous Frequency Measurement (IFM) receivers play an important role in el...

Stages of run-up or run-down of rotating machinery are unstable random process. The methods of time-frequency analysis, such as short time Fourier transform, wavelet transform and so on, will be employed to analyze the relevant test signals. To obtain the laws of the instantaneous frequency of multi-component signals during the run-up or run-down periods, the method based on peak search is wide...

The modulated oscillation model provides physically meaningful representations of timevarying harmonic processes, and has been instrumental in the development of modern time-frequency algorithms, such as the synchrosqueezing transform. We here extend this concept to multivariate signals, in order to identify oscillations common to multiple data channels. This is achieved by introducing a multiv...

One of the main goals in ultrasonic Doppler blood flow measurement is the estimation of the mean velocity. The Doppler signal’s instantaneous frequency has traditionally been used to estimate the mean velocity. In this work, a non-uniform discrete time frequency distribution is proposed: the warped discrete Choi Williams distribution (WTFDCW). The proposed procedure estimates the instantaneous ...

A novel radio frequency sensor technology is presented for continuous monitoring of the radio frequency spectrum with large instantaneous bandwidth that can perform spectral analysis and direction finding simultaneously. The photonic receiver technology relies on a spatial spectral (S2) holographic crystal recording device that is an extreme bandwidth analyzer and correlator (EBAC). The S2 EBAC...

An autonomous method for recognizing radar pulse modulations based on modulation components analysis is introduced in this paper. Unlike the conventional automatic modulation classification methods which extract modulation features based on a list of known patterns, this proposed method classifies modulations by the existence of basic modulation components including continuous frequency modulat...

Natural signals are often characterized by a complex timefrequency behaviour. These signals exist in many different applications and systems from underwater acoustic to audio signals with sound attacks or electrical systems with partial discharges and commutation switches, for example. There is a huge number of Time-Frequency (TF) methods that aim to characterize these signals in terms of first...

Electroencephalography (EEG) is a tool that allows us to analyze brain activity with high temporal resolution. These measures, combined deep learning and digital signal processing, are widely used in neurological disorder detection emotion mental recognition. In this paper, new method for recognition presented: instantaneous frequency, spectral entropy Mel-frequency cepstral coefficients (MFCC)...

In this paper, a new method for characterizing the newborn heart rate variability (HRV) is proposed. The central of the method is the newly proposed technique for instantaneous frequency (IF) estimation specifically designed for nonstationary multicomponent signals such as HRV. The new method attempts to characterize the newborn HRV using features extracted from the time–frequency (TF) domain o...