We propose an iterative algorithm to detect transient segments in audio signals. Short time Fourier transform (STFT) is used to detect rapid local changes in the audio signal. The algorithm has two steps that iteratively (a) calculate a function of the STFT and (b) build a transient signal. A dynamic thresholding scheme is used to locate the potential positions of transients in the signal. The ...

In this paper the authors will try to discuss the applicability of Wigner-Ville Distribution for the digital analysis of auscultatory sounds. First of all, thte issues related to computer aided diagnosis are presented. Next, the methodology of research is shown and subsequently, the types of sounds are described. Another element of this work is the presentation of issues related to the digital ...

We have developed a new expansion’ we call the “chirplet transform”. It has been successfully applied to a wide variety of signal processing applications including radar[l] and image processing. There has been a recent debate as to the relative merits of an affine-in-time (wavelet) transform and the classical Short Time Fourier Transform (STFT), for the analysis of non-stationary phenomena. Chi...

Precise localization of polyp is crucial for early cancer screening in gastrointestinal endoscopy. Videos given by endoscopy bring both richer contextual information as well more challenges than still images. The camera-moving situation, instead the common camera-fixed-object-moving one, leads to significant background variation between frames. Severe internal artifacts (e.g. water flow human b...

Weak suction and large vibrations indicate an Induced Draft Fan (IDF) problem. The Fast Fourier Transform (FFT) method cannot be applied to non-stationary vibration signals. Therefore, this study aims analyze signals for IDF at start-up so that the source of damage can found. research process begins with a brief measurement both bearing locations horizontal axial axes. Processing signal from us...

The performance of a fingerprint feature extraction and matching algorithm depend heavily upon the quality of the input fingerprint image. While the ‘quality’ of a fingerprint image cannot be objectively measured, it roughly corresponds to the the clarity of the ridge structure in the fingerprint image. A ‘good’ quality fingerprint image has high contrast and well defined ridges and valleys. A ...

The goal of Radar Emitter Recognition (RER) is to extract the features a received emitter signal. It has become critical issue as new radar types are emerging and electromagnetic environment becoming more dense complex. Deep Neural Networks (DNNs) have recently proven effective for identification, however, recognition phase-coded waveforms at low Signal Noise Ratio (SNR) remains challenge. In t...

Short-time Fourier transform (STFT) methods are often used to overcome the degradation of speech signals affected by noise. STFT-gain functions are usually expressed as a function of the a priori SNR, say ξ, and good techniques to estimate ξ are of vital importance for the quality of enhanced speech. Often, ξ is estimated using the so-called decision directed approach (DD). However, the DD appr...