A novel digital compensation scheme is demonstrated to control the gain of the modulation chain and suppress the influence of quantization error on bias. The error produced by the quantization multiplied by the scaling factor is theoretically analyzed. Simulations indicate that the quantization error varies with the input angular velocity and temperature, which is verified by experiments. By sw...

The design of lter banks for source coding purposes classically relies on the perfect reconstruction (PR) property. However, several recent studies have shown that taking the quantization noise into account in the design could yield noticeable reduction of the mean square reconstruction error. The purpose of this study is to show that perceptual improvement can also be obtained in the particula...

In this paper, a regression type estimator representing a class of estimators is proposed to estimate the population mean of the study variable. The bias and mean square error of the proposed estimator are obtained. Also the optimizing value of the unknown parameter is derived and the expression of minimum mean square error is obtained. Further since the proposed estimator is biased, a jackknif...

The issue of channel estimation is investigated for the UHF MIMO-RFID systems over pinhole channel. A training sequences aided linear minimum mean square error (LMMSE) channel estimation is proposed for the whole pinhole channel at the reader. Based on the mean square error (MSE) criterion, the MSE bound and the optimal training scheme with this bound are derived. By exploiting the optimal trai...

In this paper, we consider a multihop wireless sensor network with multiple relay nodes for each hop where the amplify-and-forward scheme is employed. We present algorithmic strategies to jointly design linear receivers and the power allocation parameters via an alternating optimization approach subject to different power constraints which include global, local and individual ones. Two design c...

The presence of missing data in hydrometeorological datasets is a common problem, usually due to sensor malfunction, deficiencies records storage and transmission, or other recovery procedures issues. These values are the primary source problems when analyzing modeling their spatial temporal variability. Thus, accurate gap-filling techniques for rainfall time series necessary have complete data...

Crop yield prediction is one of the most challenging tasks in agriculture. It considered to play an important role and be essential step decision-making processes. The goal crop establish food availability for coming years, using different input variables associated with domain. This paper aims predict five Gulf countries’ crops: wheat, dates, watermelon, potatoes, maize (corn). Five independen...

The minimum error entropy criterion was recently suggested in adaptive system training as an alternative to the mean-square-error criterion, and it was shown to produce better results in many tasks. In this paper, we apply a multiplayer perceptron scheme trained with this information theoretic criterion to the problem of nonlinear channel equalization. In our simulations, we use a realistic non...

Ratio estimation is a technique that usages available auxiliary information which certainly correlated with study variables. In this study, class of ratio-type estimators finite population means has been anticipated to solve delinquent the mean. Properties namely Bias & Mean Square Error were acquired up first order approximation condition for their efficiency over some existing was also es...

The employment of multiple antennas at both transmitter and receiver is referred to as MIMO (Multiple Input Multiple Output) system. The V-BLAST (Vertically layered Bell Laboratories Layered Space-Time) algorithm is a multilayer symbol detection scheme in rich scattering wireless communication channel. The V-BLAST technique is applied to MIMO (Multiple Input Multiple output) technology. Using v...