This paper describes the measurements of the signal level changes in LTE networks in different indoor conditions and compares them with OMNeT++ simulation scenarios. The simulation models are matched with the measurements to have the same average signal level for stationary client. Next the mobility model is applied in the simulation and compared with the measurements of the user moving within ...

M. Miyoshi, T. Tsukamoto GE Yokogawa Medical Systems, Hino, Tokyo, Japan Abstract Steady State Free Precession (SSFP) yields high blood signal image in short scanning time and it enables Non-Contrast-Enhanced MR Angiography (NCE-MRA) in abdomen. However, SSFP produces bright signal not only in artery but also in vein or stationary fluids. We propose new Flow Preparation (Flow Prep) pulse to dis...

In the paper, proposed a new method for the time frequency signal analysis, speech processing and other signal processing applications. Stationary signal components can be analyzed by a powerful tool called as Fourier transform. But it is fizzled for analysing the non-stationary signal whereas wavelet transform allows the components of a non-stationary signal to be analyzed. It is the improved ...

We address the general problem of reliable, real-time detection of faults in metal-removal processes in manufacturing. As has long been recognized by skilled machine operators, mechanical and acoustic vibrations can be reliable sources of cues for such monitoring. However, conventional dull-tool monitoring systems, which are generally based on stationary signal processing methods, are inadequat...

Modeling non Gaussian and non stationary signals and images has always been one of the most important part of signal and image processing methods. In this paper, first we propose a few new models, all based on using hidden variables for modeling either stationary but non Gaussian or Gaussian but non stationary or non Gaussian and non stationary signals and images. Then, we will see how to use t...

Brain-Computer Interface (BCI) systems aim to translate the intent of a subject measured from brain signals e.g. EEG into control commands. A popular paradigm for BCI communication is motor imagery i.e. subjects perform the imagination of movements with their feet or hands, the imagined movements are detected and translated into computer commands. A major challenge in BCI research are non-stati...