Complex matrix algebra is of great importance to a wide variety of applications. One of the most important application areas is telecommunications. Matrix calculations are used in communications ...

Abstract: This paper presents matrix inversion algorithms based on LU decomposition and QR decomposition and LDLT decomposition (i.e. improved Cholesky decomposition) and the time complexity of the ...

For high data rate wireless communications they use Orthogonal Frequency Division Multiplexing (OFDM) due to its high spectral efficiency and low computational complexity. It gives the architecture of ...

1 Shandong Hi-speed Infrastructure Construction Co., Ltd., Jinan, China 2 School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou, China Grouting is a widely used ...

The Journal of the American Statistical Association (JASA) has long been considered the premier journal of statistical science. Science Citation Index reported JASA was the most highly cited journal ...

Estimation of oil saturation in low-resistivity-contrast reservoirs using resistivity-log analysis is an inherently challenging process. However, nuclear magnetic resonance (NMR) logging is less ...

Inverting a matrix is one of the most common tasks in data science and machine learning. In this article I explain why inverting a matrix is very difficult and present code that you can use as-is, or ...