In this paper, we introduce and study a new extension of Lomax distribution with four-parameter named as the Marshall–Olkin alpha power (MOAPL) distribution. Some statistical properties are discussed. Maximum likelihood estimation (MLE), maximum product spacing (MPS) least Square (LS) method for MOAPL parameters A numerical using real data analysis Monte-Carlo simulation performed to compare be...

Global motion estimation is an important task in a variety of video processing applications, such as coding, segmentation, classificatiodindexing, and mosaicing. The main difficulty in global motion parameter estimation resides in the disturbances due to the independently moving objects. The Iterarive Leaf-Square Estimati’on (USE) technique [l] is commonly used in estimating a fourparameter mod...

In communication channel estimation, the Least Square (LS) technique has long been a widely accepted and commonly used principle. This is because simple calculation method compared with other estimation methods. The Minimum Mean Squares Error (MMSE), which developed later, devised as next step goal to reduce error rate in system from conventional LS still higher rate. These estimations are very...

In this paper, different estimation methods are considered for the parameters of inverse weighted Lindley (IWL) distribution introduced by Ramos et al.(2019). Parameters IWL estimated method maximum likelihood (ML), least squares (LS), (WLS), Cram´er-von Mises (CVM) and Anderson Darling (AD). The performances estimators compared using Monte Carlo simulation study via bias, mean square error def...

Channel estimation techniques for Orthogonal Frequency Division Multiplex (OFDM) systems based on a pilot arrangement are investigated. Training based Channel estimation with a block type pilot arrangement is studied through an algorithm for determination of efficient number of pilot symbols in an OFDM symbol by adding a feedback branch. Channel estimation at pilot frequencies is based on Least...

Modern mobile telecommunication systems are using MIMO combined with OFDM, which is known as MIMO-OFDM systems, to provide robustness and higher spectrum efficiency. The major challenge in this scenario is to obtain an accurate channel estimation to detect information symbols, once the receiver must have the channel state information to equalize and process the received signal. Channel estimati...

Channel estimation algorithms have a key role in signal detection in MIMO-OFDM systems. In this system, the number of channel components which need to be estimated is much more than conventional SISO wireless systems. Consequently, the computational process of channel estimation is highly intensive. In addition, the high performance channel estimation algorithms mostly suffer from high computat...

Abstract— Diagonal Bell Laboratories Layered Space-Time (DBLAST) structure offers a low complexity solution to realize the attractive capacity of Multiple-input and multiple-output (MIMO) systems. In this paper, we apply D-BLAST in orthogonal frequency division multiplexing (OFDM) systems and address the issue of channel estimation. Different from other MIMO-OFDM, where symbols at all tones are...

Due to the channel with characteristic of sparse multi-path in the 60GHz wireless communication system, the channel estimation problem can be attributed to that of sparse signals recovery. And with the consideration of the subspace pursuit (SP) algorithm is superior to the orthogonal matching pursuit (OMP) at reconstruction precision, the channel estimation technique based on the SP algorithm i...