In this paper, a modified grasshopper optimization algorithm is proposed for equalization of
non-linear wireless communication channels. Even though grasshopper optimisation …

Neural network (NN) based equalizers are known to outperform the linear equalizers based
on finite impulse response (FIR) adaptive filter for highly dispersive and non-linear channels …

The transmission of high-speed data over communication channels is the function of digital
communication systems. Due to linear and nonlinear distortions, data transmitted through …

Channel equalization is remaining a challenge for the researcher. Especially for the non-
linear channel as well as the extremely dispersive channel, an effective channel equalizer is …

Due to the complexity and extensive application of wireless systems, fading channel
modeling is of great importance for designing a mobile network, especially for high speed …

Widespread use of the internet has resulted in a massive rise in the data rate of a wireless
communication system. Eventually, to mitigate the effect of inter-symbol interference (ISI) in …

Abstract Emergency Departments (EDs) provide an imperative source of medical care.
Central to the ED workflow is the patientcaregiver scheduling, directed at getting the right …

Wireless communication relies heavily on system performance. It is very important to
consider channel behavior when designing wireless communication systems. Fading …

The equalization of digital channels is generally known to be a nonlinear classification
problem. Applications such as these can benefit from networks that approximate nonlinear …

In Digital Communication System, the main factor which affects the reliable transmission of
data is Inter Symbol Interference (ISD. To mitigate this effect, Channel Equalizer is used at …