In this paper, we have developed a method to compute fractal dimension (FD) of discrete
time signals, in the time domain, by modifying the box-counting method. The size of the box …

We explore nonlinear signal processing methods inspired by dynamical systems and fractal
theory in order to analyze and characterize speech sounds. A speech signal is at first …

In this paper, we explore nonlinear methods, inspired by the fractal theory for the analysis of
the structure of music signals at multiple time scales, which is of importance both for their …

Mel frequency cepstral coefficients (MFCCs) are a standard tool for automatic speech
recognition (ASR), but they fail to capture part of the dynamics of speech. The nonlinear …

Fractal Dimensions (FD) are one of the popular measures used for characterizing signals.
They have been used as complexity measures of signals in various fields including speech …

Bowel sounds is an important physiological parameter of distinguishing the gastrointestinal
motility dysfunction. Auscultation of bowel sounds provides a noninvasive way for clinical …

A novel system for verifying signatures on Persian handwritten bank checks is presented, in
this paper. The presented system includes two main phases called: training and verification …

In this paper, a unified approach to speech enhancement, feature extraction and feature
normalization for speech recognition in adverse recording conditions is presented. The …

Biometric recognition is more and more important due to security applications all over the
world. Mobile phone becomes popular in recent years. Therefore voice recognition for …

In the year 2012, there were approximately 226,160 cases of lung cancer and 160,340
deaths out of it as per the National Cancer Institute. There are mainly two types of lung …