The wireless communication is the emerging field of research among communication researchers and they are continuously working towards the reduction if error occurred in the signal during transmission through wireless media. In this paper the wireless system is simulated with the application of Alamouti space time block codes (STBC) with MIMO and MISO configurations to compare the results. The ...

In many applications of the signal processing such as automatic analysis of EEG signal, it is needed that signal is split to smaller parts that each part has the same statistical characterizations such as the amplitude and frequency. This act has been called signal segmentation. In this paper, the signal is initially filtered by weighted moving average (WMA). Not only WMA can emphasize recent e...

The wireless communication system is a largely used in the present era of communication. The enhancements in the technology to make more reliable end to end connectivity and transfer of information lots of research being executed. The multiple input multiple output (MIMO) technique significantly improve the quality of communication. In this paper a new approach is proposed to make communication...

To solve the problem in which the conventional ARMA modeling methods for gyro random noise require a large number of samples and converge slowly, an ARMA modeling method using a robust Kalman filtering is developed. The ARMA model parameters are employed as state arguments. Unknown time-varying estimators of observation noise are used to achieve the estimated mean and variance of the observatio...

WiMAX is introduced by the Institute of Electrical and Electronic Engineers (IEEE). Wireless provides a worldwide interoperability for microwave access. Now-adays telecommunication industries are highly concerned with the wireless transmission of data, which can employ many transmission types, from point to multipoint links. It contains full mobile internet access. several applications have alr...

An effective technique for real-time differential orbit determination with GPS bias fixing is formulated. With this technique, only real-time GPS orbits and clocks are needed (available from the NASA Global Differential GPS System with 10–20 cm accuracy). The onboard, realtime orbital states of user satellites (few meters in accuracy) are used for orbit initialization and integration. An extend...

Analysis of long-term EEG signals needs that it be segmented into pseudo stationary epochs. That work is done by regarding to statistical characteristics of a signal such as amplitude and frequency. Time series measured in real world is frequently non-stationary and to extract important information from the measured time series it is significant to utilize a filter or smoother as a pre-processi...

Abstract: The measurement accuracy for heart rate or SpO2 using photoplethysmography (PPG) is influenced by how well the noise from motion artifacts and other sources can be removed. Eliminating the motion artifacts is particularly difficult since its frequency band overlaps that of the basic PPG signal. Therefore, we propose the Periodic Moving Average Filter (PMAF) to remove motion artifacts....

Moving Target Indicators (MTI) are systems used to distinguish movement from stationary scenes and sometimes to derive the spatial attributes of these objects. These systems are currently used in many sectors such as traffic studies, border surveillance, and military applications. The proposed MTI reveals vehicles and their velocities using commercial imagery from a passive optical satellite-mo...

The engine speed is one of the most important signals in the engine management system of a combustion engine. The signal is used to control the fuel injection, estimate the engine torque, and to generate reference values. Combustions in the cylinders result in the engine speed oscillating around a momentary average, and many applications are depending on stable estimates of this average engine ...