Browsing by Publisher "IEEE"
Now showing items 21-40 of 184
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A broadband microwave amplifier design by means of immittance based data modelling tool
(IEEE, 2002)In this paper a practical broadband microwave amplifier design algorithm is introduced utilizing the immittance data-modelling tool. In the course of design first the optimum input and output terminations for the active ... -
Busy Tone Based Power Control for Coordination of IFFY 802.11af and 802.22 System
(IEEE, 2017)In this paper, a new power control algorithm based on busy tone approach has been proposed for the coordination of IEEE 802.22 and IEEE 802.11af systems in TV white space. Different from the earlier studies, in addition ... -
Busy Tone Implementation for Coexistence of IEEE 802.22 and 802.11 af Systems
(IEEE, 2015)In this paper a new algorithm based on busy tone approach has been proposed for the coexistence of IEEE 802.22 and IEEE 802.11af systems in TV white space. Different from the earlier study in addition to 802.11af access ... -
Cascaded Lossless Commensurate Line Synthesis
(IEEE, 2009)In this paper a synthesis algorithm for cascaded lossless commensurate lines is summarized. The algorithm is based on transfer matrix factorization. Firstly the characteristic impedance of the extracted element is calculated ... -
Channel Equalization with Cellular Neural Networks
(IEEE, 2010)In this paper a dynamic neural network structure called Cellular Neural Network (CNN) is employed for the equalization in digital communication. It is shown that this nonlinear system is capable of suppressing the effect ... -
Channel Estimation and Physical Layer Security in Optical MIMO-OFDM based LED Index Modulation
(IEEE, 2023)In this paper, we propose a new and low-complexity channel estimation algorithm for the generalized LED index modulation (GLIM), recently proposed for visible-light communication systems based on multi-input multi-output ... -
Channel Estimation for DCO-OFDM Based VLC Systems in the Presence of Clipping Noise
(IEEE, 2020)Visible Light Communication(VLC) has been considered as a potential access option for 6G wireless systems to solve performance limitation due to bandwidth shortage at radio frequency (RF) band. In VLC system, illumination ... -
Channel estimation for MIMO-OFDM systems in fixed broadband wireless applications
(IEEE, 2007)Systems employing multiple transmit and receive antennas known as multiple input multiple output (MIMO) systems can be used with OFDM to improve the resistance to channel impairments. Thus the technologies of OFDM and MIMO ... -
Channel Estimation for SM Systems over Time-Varying Rayleigh Fading Channels
(IEEE, 2014)This paper is concerned with the challenging and timely problem of channel estimation for spatial modulated systems in the presence of time varying channels. Recently estimation of channel state information for SM systems ... -
Channel Estimation for Spatial Modulation Orthogonal Frequency Division Multiplexing Systems
(IEEE, 2015)A combination of spatial modulation and orthogonal frequency division multiplexing (SM-OFDM) has been recently proposed for multicarrier systems while assuming the perfect channel state information (P-CSI) available at the ... -
Channel estimation in underwater cooperative OFDM system with amplify-and-forward relaying
(IEEE, 2012)This paper is concerned with a challenging problem of channel estimation for amplify-and-forward cooperative relay based orthogonal frequency division multiplexing (OFDM) systems in the presence of sparse underwater acoustic ... -
Channel Estimation Using Optical MIMO OFDM Based LED Index Modulation
(IEEE, 2021)In this paper, a new MIMO channel estimation technique is proposed for generalized LED index modulation (GLIM-OFDM) developed for multi-input multi-output (MIMO) orthogonal frequency division multiplexing (OFDM) based VLC ... -
Classification of ADHD Using Ensemble Algorithms with Deep Learning and Hand Crafted Features
(IEEE, 2019)Attention Deficit Hyperactivity (ADHD) is a common neurodevelopmental disorder that typically appears in early childhood. Methods developed for diagnosing gives different results at different times. This is a major obstacle ... -
Comparative Performance Evaluation of VLC, LTE and WLAN Technologies in Indoor Environments
(IEEE, 2021)Recent years have seen an exponential rise in the demand for indoor wireless connections that have driven future generation networks to aim for higher data rates with extended coverage and affordable rates. The two most ... -
Comparative Study of Active Power Curtailment Methods of PVs for Preventing Overvoltage on Distribution Feeders
(IEEE, 2018)Overvoltage is one of the major issues on distribution grids with high penetration of photovoltaic (PV) generation. Overvoltage could be prevented through the control of active/reactive power of PVs. However given the high ... -
A comparative study of surrogate based learning methods in solving power flow problem
(IEEE, 2020)Due to increasing volume of measurements in smart grids, surrogate based learning approaches for modeling the power grids are becoming popular. This paper uses regression based models to find the unknown state variables ... -
Comparison of Compressed Sensing Based Algorithms for Sparse Signal Reconstruction
(IEEE, 2016)Compressed sensing theory shows that any signal which is defined as sparse in a given domain can be reconstructed using fewer linear projections instead of using all Nyquist-rate samples. In this paper we investigate basis ... -
Comparison of Cost-Free Computational Tools for Teaching Physics
(IEEE, 2010)It is widely accepted that it is quite difficult to engage today's students, from high schools to university, both in educational activities in class and "teaching" them physics due to their prejudices about the complexity ... -
Comparison of feature selection algorithms for medical data
(IEEE, 2012)Data mining application areas widen day by day. Among those areas medical area has been receiving quite a big attention. However working with very large data sets with many attributes is hard. Experts in this field use ... -
Complex event post processing for traffic accidents
(IEEE, 2012)In this paper we describe a framework for an expert system that tries to predict effects of an accident based on past data using supervised learning employing artificial neural networks. For this purpose sensory data events ...