The stationary workload W A+B of a queue with capacity φ loaded by two independent processes A and B is investigated. When the probability of load deviation in process A decays slower than both in B and e √ , we show that W A+B is asymptotically equal to the reduced load queue W A , where b is the mean rate of B. This complements the known result that this property does not hold when both proce...

Recently, much attention has been paid to the use of nonlinear analysis techniques for the characterization of biological signals. These signals are however often strongly non-stationary. This is in contradiction to the assumption of commonly used nonlinearity measures, which assume that the signal is stationary. We propose to use a Piecewise Stationary Segmentation (PSP) of the signals of inte...

To analyze or process a signal, reliably, one of the best-known solutions is to decompose the signal into levels of resolution or frequency. Many studies have been devoted to this topic and various techniques have been introduced for signal decomposition, among which two of the most popular ones are Fourier analysis and wavelet transforms. These approaches, however, either require a predefined ...

Problem statement: In this study, the behavior of small scale fading channel due to a moving sink node of a Wireless Sensor Network (WSN) or moving of surrounding objects is presented. Approach: Specifically, this research introduces the effects of multipath and scattering on the transmitted signal due to mobile sink node within forest or closed field filled of reflectors and scatters. Signal p...

Quadrature signal processing is used in many fields of science and engineering, and quadrature signals are necessary to describe the processing and implementation that takes place in modern digital communication systems. It serves two purposes: to determine the parameters needed for the construction of a necessary model, and to confirm if the model constructed represents the physical phenomenon...

With a direct impact on compression performance, optimal quantization scheme is crucial for transformbased ECG data compression. However, traditional optimization schemes derived with signal adaption are commonly inherent with signal dependency and unsuitable for real-time application. In this paper, the variety of arrhythmia ECG signal is utilized for optimizing the quantization scheme of wave...

Nonlinearities are often encountered in the analysis and processing of real-world signals. Most existing approaches to nonlinear signal processing characterize the nonlinearity in the time domain or frequency domain. In fact, there are good reasons for characterizing nonlinearity using more general signal representations like the wavelet expansion. Wavelet expansions often provide very concise ...

A time domain based method for rejection of tonal disturbances in speech signals is presented. Tonal disturbances in personal communication arise from a variety of erroneous stimuli, such as environmental sounds from rotating machinery, acoustic feedback from public address systems, or hearing aids and internal circuitry in some personal communication devices. The method is based on the zero cr...

Recently, Sircar and Syali (Signal Processing 53 (1996) 35}45) introduced the complex AM signal model for analyzing non-stationary speech data. It is assumed that the complex AM model has additive errors, which are independent and identically distributed. They provided an e$cient estimation procedure of the unknown parameters using Prony's equation. We re-analyze both the data sets and it is ob...