There are two methods for identifying formation interface in oil wells: core analysis, which is a precise approach but costly and time consuming, and well logs analysis, which petrophysists perform, which is subjective and not completely reliable. In this paper, a novel coupled method was proposed to detect the formation interfaces using GR logs. Second approximation level (a2) of GR log gained...

This paper presents a new sound synthesis method utilizing the features of transitions contained in an existing sound, using spectral data obtained through Short-Time Fourier Transform (STFT) analysis. In this method, spectra obtained from each instantaneous sound are considered as multivariate data, and placed in a vector space, where an evaluation of distances between vectors is performed. As...

We present a method to analyze the streaming sound output of a real acoustic violin and infer the control inputs used by the musician. In particular, we extract the following parameters: which note was played, which string it was played on, whether the instrument was bowed or plucked and the location of the bowing or plucking point from a discrete set. The approach we use, pattern classificatio...

The problem of recovering a signal from the magnitude of its short-time Fourier transform (STFT) is a longstanding one in audio signal processing. Existing approaches rely on heuristics which often perform poorly because of the nonconvexity of the problem. We introduce a formulation of the problem that lends itself to a tractable convex program. We observe that our method yields better reconstr...

In this paper, we focus on the approximation of smooth functions \(f: [-\pi , \pi ] \rightarrow {\mathbb {C}}\), up to an unresolvable global phase ambiguity, from a finite set Short Time Fourier Transform (STFT) magnitude (i.e., spectrogram) measurements. Two algorithms are developed for approximately inverting such measurements, each with theoretical error guarantees establishing their correc...

Deep learning-based techniques for automatic dysarthric speech detection have recently attracted interest in the research community. State-of-the-art typically learn neurotypical and discriminative representations by processing time-frequency input such as magnitude spectrum of short-time Fourier transform (STFT). Although these are expected to leverage perceptual cues, STFT do not necessarily ...

The wayside acoustic defective bearing detector system (TADS) is located on both sides of the railway, so that signals recorded by microphone not only include sound from train bearings but also it other disturbance sources. heavy noise and multisource would badly reduce reliability accuracy detection result TADS. In order to extract useful information signal exactly efficiently, a novel denoisi...

Harmonic wavelets have simple formulations in the fi-equency domain and they have proved a good basis for the time-frequency mapping of transient signals. Moreover their computational algorithm allows bandwidth to be chosen arbitrarily so that they offer a variable Q transform, where Q is the ratio of centre frequency to bandwidth. In contrast, the short-time Fourier transform and the Wlgner-Vi...

In this paper, our goal is to compare different recent time-frequency (TF) approaches retrieve the modes of multicomponent signals (MCSs). While it acknowledged that synchrosqueezing transform (SST) improves readability representation (TFR) MCSs, and SST-based demodulation (DSST) more efficient than SST itself for mode retrieval (MR), unclear whether DSST outperforms downsampled short-time Four...