Approximation of matrices using the Singular Value Decomposition (SVD) plays a central role in many science and engineering applications. However, the computation cost of an exact SVD is prohibitively high for very large matrices. In this paper, we describe a GPU-based approximate SVD algorithm for large matrices. Our method is based on the QUIC-SVD introduced by [6], which exploits a tree-base...

Singular Value Decomposition (SVD) has recently emerged as a new paradigm for processing different types of images. SVD is an attractive algebraic transform for image processing applications. The paper proposes an experimental survey for the SVD as an efficient transform in image processing applications. Despite the well-known fact that SVD offers attractive properties in imaging, the exploring...

In a multi-channel hands-free communication, decorrelation algorithms are necessary, along with adaptive filters, to efficiently remove the acoustic echo in real time applications. But the quality of the signals and the spatial position of the sound source must not be perceptually affected by those algorithms. This paper proposes a new hybrid solution that uses frequency shifts to improve the p...

In this paper, a color image watermarking algorithm based on Redundant Discrete Wavelet Transform (RDWT) and Singular Value Decomposition (SVD) is proposed. The new algorithm selects blue component of a color image to carry the watermark information since the Human Visual System (HVS) is least sensitive to it. To increase the robustness especially towards affine attacks, RDWT is adopted for its...

In this paper, a two-stage channel estimation scheme for two-way MIMO relay systems with a single relay antenna is proposed. The backward channel is estimated by using linear minimum mean square estimator (LMMSE) at the first stage, where the optimal training signal is designed. We then mainly focus on the forward channel estimation by using singular value decomposition (SVD) based maximum like...

Interference is the factor which limits the performance in cellular network. Empowered by precoding and decoding, a spatially multiplexed Multiple-Input Multiple-Output (MIMO) system becomes a convenient framework to offer high data rate, diversity and interference management. In this paper, we discuss precoding scheme to mitigate the effect of channel fading in MIMO system where there is no li...

A novel scheme for linear Multiuser Detection (MUD) based on Sub-Symbol diversity is presented that is applicable to Asynchronous CDMA systems with frequency selective fading. Traditional solutions for asynchronous linear MUD result in a prohibitively large decorrelation matrix. The new scheme transforms the asynchronous problem into a synchronous one by creating sub-symbols that are, by design...

Cerebral small vessel disease (SVD) is a leading cause of stroke and dementia. CADASIL, an inherited SVD, alters cerebral artery function, compromising blood flow to the working brain. TIMP3 (tissue inhibitor of metalloproteinase 3) accumulation in the vascular extracellular matrix in CADASIL is a key contributor to cerebrovascular dysfunction. However, the linkage between elevated TIMP3 and co...

Zheng and Barton developed a convenient signaling scheme (orthogonal on-off BPSK (OBPSK)) with a simple one-shot linear decorrelating detector (LDD) for near–far resistant detection in asynchronous DS/CDMA systems. This paper studies the performance of the OBPSK LDD system over a frequency-nonselective and slowly fading channel. Three types of channel model are considered, namely Rayleigh fadin...

Two transmit two receive space-time processing with LDPC coding is evaluated for OFDM transmission. The two methods for space-time processing are Alamouti’s combining and the SVD technique. The channel estimates are calculated and provided to the diversity combiner, the SVD filters and LDPC decoder. Noise variance estimates are provided to the LDPC decoder. Using the proposed scheme we can obta...