[PDF] Top 20 Fuzzy inference system based adaptive modulation scheme for optical wireless communication

... An optical wireless communication system is an attractive alternative to radio, primarily because of a virtually unlimited, unregulated ...The optical spectrum is a universally ... See full document

... width modulation (PWM) inverter, which has low switching frequency, high switching loss, high electro-magnetic interference (EMI), high acoustic noise and low efficiency, ...control scheme and so on are ... See full document

... the optical transmitter and the receiver because the optical waves are spread as uniformly as possible in the room by making use of the reflective properties of the walls and the ...of system suffers ... See full document

... Abstract: Optical wireless communication has the potential for extremely high data rates of up to tens of ...hybrid modulation technique named adaptive differential amplitude ... See full document

... including modulation and multiplexing [1], [2], ...a scheme to fight ,multipath fading in wireless channels and also divide the wideband frequency communication channel into a number of ... See full document

... Optical wireless communication is an emerging dynamic research and development area that has generated a vast number of interesting solutions to very complicated communication ...in ... See full document

... in wireless communication systems are ...multi-carrier modulation technique with densely spaced sub-carriers that has gained a lot of popularity among the broadband community in the last few ... See full document

... of wireless communication which lack specific ...group communication. Fuzzy Inference based System (Adaptive Neuro Fuzzy Inference) is used to ... See full document

... mobile wireless communications designed to handle new data services and interactive TV communication through mobile ...mobile wireless technologies started in 2010 ... See full document

... received optical power decreased significantly after the reflection from room ...receiver, optical wireless communication systems in room A relied on signals with lower reflection orders ... See full document

... The membership functions of Charvak for reservoir inflow have moved slightly to the left and the steepness of the bell shapes has increased for the low inflow membership func- tion and decreased for the other. There is a ... See full document

... queuing scheme as its basis was first packet come first packet served, FIFO was employed in most simulation scenarios due to its management simplicity and implementation ...traffic based on their QoS ... See full document

... water level gauging stations that belong to two sub-drainage systems. The learning target of the RNN model was the wa- ter level observations of YC10. To obtain 5- to 20-min-ahead water level predictions, this study ... See full document

... steering system became one of the most important techniques in improving comfort, luxury and protection ...suspension system (Mitschke and Wallentowitz, 2004) that transmits the forces between the vehicle ... See full document

... of wireless communication in daily life. 4G communication, data rates up to 100 Mbps for high mobility and up to 1 Gbps for low mobility or local wireless are ...voice communication ... See full document

... data based on previous assumed ...is fuzzy logic: to use this method the data should be sorted by clustering algorithm based on iterative optimization (Morabito and Versaci, ... See full document

... proposed system first of all we filter out the noise by Noise Adaptive Fuzzy Switching Median Filter (NAFSMF) and then detect Edges using Adaptive Neuro-Fuzzy Inference ... See full document

... models based on statistical learning concepts, such as ANFIS, LSSVM, RBF, and MLP artificial neural network for predicting relative humidity by dry bulb temperature and wet bulb ...points. Based on the ... See full document

... a fuzzy inference system (FIS) implemented in the framework of an adaptive fuzzy neural ...of fuzzy systems and neural ... See full document

... in fuzzy form. Since the input is in fuzzy form, there is a need to defuzzify it in crisp normalized values; so as the base ANFIS system process it for decision ...and inference mechanism. ... See full document