Canonical discrete quantum error correction (DQEC) schemes use projective von Neumann measurements on stabilizers to discretize the syndromes into a finite set, and fast unitary gates are applied recover corrupted information. Quantum (QEC) based continuous measurement, known as (CQEC), in principle, can be executed faster than DQEC also resource efficient. However, CQEC requires meticulous fil...

This paper proposes a new computational scheme for approximating variable-order fractional integral operators by means of finite element scheme. This strategy is extended to approximate the solution of a class of variable-order fractional nonlinear systems with time-delay. Numerical simulations are analyzed in the perspective of the mean absolute error and experimental convergence order. To ill...

Deficiency and inappropriate distribution of reengage station is one of challenges faced by researchers in hydrology and climate science. In this research, evaluate the applicability of four gridded precipitation data products ERA-Interim, PERSIANN-CDR, PERSIANN-CCS and CRU as a supplement or substitute for ground data in a monthly time scales. This assessment was done by comparison with observ...

land surface parameterization schemes are one of the most important components in gcm and nwp models. these schemes calculate the exchanges of momentum, mass and energy between land surface and the atmosphere. runoff is one of the important components in the water cycle of the land surface scheme whose parameterization is difficult because of complexity in the processes governing the runoff gen...

This paper investigates an adaptive space-time equalisation (STE) assisted multiuser detection scheme for multiple-antenna aided multiuser systems. A minimum bit error rate (MBER) design is compared with the standard minimum mean square error (MMSE) design. It is shown that the MBER design provides significant performance enhancement, in terms of achievable system bit error rate, over the MMSE ...

The goal of the present study is to quantify and reduce, when possible, errors in two-dimensional digital particle image velocimetry (DPIV). Two major errors, namely the mean bias and root-mean-square (RMS) errors, have been studied. One fundamental source of these errors arises from the implementation of cross correlation (CC). Other major sources of these errors arise from the peak-finding sc...

A minimum bit error rate (MBER) multiuser detector designed for space division multiple access (SDMA) aided orthogonal frequency division multiplexing (OFDM) systems is proposed. It is shown that the MBER detector outperforms the minimum mean squared error (MMSE) detector, since the MBER detector directly minimises the BER, while the MMSE detector minimises the mean-squared error (MSE), which d...

In this contribution, we propose a Minimum Bit Error Rate (MBER) multiuser detector for Space Division Multiple Access (SDMA) aided Orthogonal Frequency Division Multiplexing (OFDM) systems. It is shown that the MBER detector outperforms the Minimum Mean Squared Error (MMSE) detector, since the MBER detector directly minimizes the BER, while MMSE detector minimizes the mean-squared error (MSE),...

The design of an antenna requires a careful selection its parameters to retain the desired performance. However, this task is time-consuming when traditional approaches are employed, which represents significant challenge. On other hand, machine learning presents effective solution challenge through set regression models that can robustly assist designers find out best achieve intended In paper...