Signal search analysis is a general method to discover and characterize sequence motifs that are positionally correlated with a functional site (e.g. a transcription or translation start site). The method has played an instrumental role in the analysis of eukaryotic promoter elements. The signal search analysis server provides access to four different computer programs as well as to a large num...

Turbulence deals with the complex motions in fluid at high velocity and/or involving a large range of length-scales. Turbulence asks then many questions from modeling this complexity to measuring it. In a first part, the description of signals measured in fluid turbulence experiments will be made along with a survey of modern signal processing tools that are adapted to their properties of scali...

A signal analysis technique is developed for discriminating a set of lower arm and wrist functions using surface EMG signals. Data wete obtained from four electrodes placed around the proximal forearm. The functions analyzed included wrist flexion/extension, wrist abduction/adduction, and forearm pronation/supination. Multivariate autoregression models were derived for each function; discrimina...

In the last fifteen years, there have been major paradigm shifts in both general and applied linguistics toward acknowledging intonation as an indispensable component of language and communication. In addition, the hardware and software for conducting acoustic phonetic signal analysis have recently become more accessible. The main goal of this paper is thus to integrate the two seemingly dispar...

This study introduces a new signal analysis method called SCSA, based on a semi-classical approach. The main idea in the SCSA is to interpret a pulse-shaped signal as a potential of a Schrödinger operator and then to use the discrete spectrum of this operator for the analysis of the signal. We present some numerical examples and the first results obtained with this method on the analysis of art...

1 Abstract A common signal is defined for any two signals which have non-zero correlation. A mathematical method is provided to extract the best obtainable common signal between the two signals. This analysis is extended to extracting common signal among three signals. When two signals have non-zero correlation [1], it is commonly believed that these two signals have similarity between them. Ho...

In this paper, a signal processing method is proposed to estimate the low and high-frequency impedances of power systems using several short-term low power signal injections for a frequency range of 0-150 kHz. This frequency range is very important, and thusso it is considered in the analysis of power quality issues of smart grids. The impedance estimation is used in many power system applicati...

Any signal transduced from a biological or medical source could be called a biosignal. The signal source could be at the molecular level, cell level, or a systemic or organ level. A wide variety of such signals are commonly encountered in the clinic, research laboratory, and sometimes even at home. Examples include the electrocardiogram (ECG), or electrical activity from the heart; speech signa...

Artificial neural networks (ANNs) have now been applied to a wide variety of real-world problems in many fields of application. The attractive and flexible characteristics of ANNs, such as their parallel operation, learning by example, associative memory, multifactorial optimization and extensibility, make them well suited to the analysis of biological and medical signals. In this study, we rev...