The authors discuss the importance of using the singular value decomposition (SVD) in computing the capacity of multiple input multiple output (MIMO) and in estimation the channel gain from the transmitter to the receiver. Examples that show how the SVD simplifies computing the MIMO channel capacity are discussed. Numerical results that show what factors determine the performance of using SVD i...

In this paper, signal vector based detection (SVD) algorithm for spatial modulation (SM) is modified to achieve a near maximum-likelihood (ML) performance and reduces the complexity compared to ML. First, the proposed low-complexity SVD (LC-SVD) algorithm orders the antenna index list based on the angle between the received vector y and the channel vector j h , and then it estimates symbol by c...

The eigenface method is a technique that has been widely used for facial recognition algorithms. The method relies on the use of a one-dimensional Singular Value Decomposition (SVD), but recently it has been argued that a two dimensional SVD would be more effective. In this study, both methods were applied to a handwritten character recognition problem. The two methods yielded similar accuracy ...

Six components of sporaviridin (SVD) were successfully isolated by HPLC using methano-1 M ammonium chloride as the mobile phase. Each component possesses expectedly antimicrobial activity. To ensure the structural relationship between the intact SVD and N-acetylated sporaviridins (N-Ac-SVD), they were converted to the corresponding of N-acetates by acetylation in methanol, whose structures had ...

this study investigates the contributions of atlantic ocean to june-august rainfall over uganda and western kenya (ku). the study has utilized the datasets including precipitation from the global precipitation climatology centre, north atlantic oscillation index (naoi), south atlantic ocean dipole index (saodi), era-interim reanalysis, and the atlantic ocean sea surface temperature (sst). singu...

The traditional singular value decomposition (SVD) method is unable to diagnose the weak fault feature of bearings effectively, which means, it difficult retain effective components (SCs). Therefore, a new method, SVD based on FIC (fault information content), proposed, takes amplitude characteristics frequency as selection index components. Firstly, Hankel matrix original signal constructed, an...

Singular value decomposition (SVD) is one of the most useful matrix decompositions in linear algebra. Here, a novel application SVD recovering ripped photos was exploited. Recovery done by applying truncated iteratively. Performance evaluated using Frobenius norm. Results from few experimental were decent.

BACKGROUND Hyperhomocysteinemia was believed to be an independent risk factor for stroke and associate with small vessel disease (SVD) related stroke and large vessel disease (LVD) related stroke differently. However it's still unclear which type of stroke associated with homocysteine (HCY) more strongly because the conclusions of previous studies were contradictory. In this study we focused on...