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For checking the optimality of the objective function, we introduce a lexicographic order relation to compare two arbitrary triangular fuzzy numbers. Based on the order relation, the multi-objective fully fuzzy linear programming problem is converted into a crisp multi-level multi-objective linear programming problem, which may be solved by using the Min operator step by step. A numerical example...
X-structured precoding has been considered a promising precoding method for MIMO systems with maximum-likelihood (ML) receivers. It not only simplifies the precoder design, but allows a low-complexity ML detection scheme. For a real-world precoding scheme, a precoder can only be selected from a codebook and its index is fed back to the transmitter, known as limited-feedback precoding. Due to its special...
One problem in multiuser multiple-input multiple-output (MU-MIMO) systems is that the transmitted signal from a base station to a user is interfered by the signals to other users. MU-MIMO precoding has been proposed as an effective way to solve the problem. However, most existing precoding methods are mainly designed with zero-forcing (ZF) or minimum mean-square-error (MMSE) criterion and the performance...
Denoising is an important preprocessing step for several applications in the hyperspectral imaging (HSI) domain, such as classification and target detection, to achieve good performances. Because the signal-dependent photonic noise has become as dominant as the signal-independent noise generated by the electronic circuitry in HSI data collected by new-generation hyperspectral sensors, the reduction...
The hybrid of spatial multiplexing and transmit beamforming is a simple scheme to combat channel fading in multiple-input multiple-output (MIMO) transmission. In this scheme, a set of transmit antennas is used to transmit a bit stream and antenna grouping is then required. How to conduct the grouping optimally is the main concern. For maximum-likelihood (ML) receivers, the grouping criterion is equivalent...
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