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, Optimum adaptive loading algorithms are applied to multicarrier system with Space-Time Block Coding (STBC) scheme associated with space-time processing based on singular-value decomposition (SVD) of the channel matrix over Rayleigh fading channels. SVD method has been employed in MIMO-OFDM system in order to overcome subchannel interference. Chaw’s and Compello’s algorithms have ...

In reality, not all users require instant video access. People are used to plan things ahead, surely including when to watch desired videos. This fact creates the new video scheduling paradigm, named Scheduled Video Delivery (SVD). It allures clients to make requests as early as possible in order to increase the flexibility of scheduling and resource utilization based on pricing. In this paper,...

Based on the signal-noise subspace theory, a method of low-rank channel estimation for Orthogonal Frequency Division Multiplexing (OFDM) is presented in this paper. The theory of low-rank linear estimation based on Singular Value Decomposition (SVD) in minimum meansquared error (LMMSE) estimators has been analyzed. A new rank-choose criterion for low-rank approximation is raised. The algorithm’...

| We have shown previously that non-stationary signals recorded in a static multi-path environment can often be recovered by simultaneously decorrelating varying second order statistics. As typical sources are often moving, however, the multi-path channel is not static. We present here an on-line gradient algorithm with adaptive step size in the frequency domain based on second derivatives, whi...

|We have shown previously that non-stationary signals recorded in a static multi-path environment can often be recovered by simultaneously decorrelating varying second order statistics. As typical sources are often moving, however, the multi-path channel is not static. We present here an on-line gradient algorithm with adaptive step size in the frequency domain based on second derivatives, whic...

The decorrelation stretch is a process that is used to enhance (stretch) the color differences found in a color image. The method used to do this includes the removal of the inter-channel correlation found in the input pixels; hence, the term "decorrelation stretch". The purpose of this document is to explain: 1) the conditions that normally appear in multispectral data that indicate that color...

The decorrelation stretch is a process that is used to enhance (stretch) the color differences found in a color image. The method used to do this includes the removal of the inter-channel correlation found in the input pixels; hence, the term "decorrelation stretch". The purpose of this document is to explain: 1) the conditions that normally appear in multispectral data that indicate that color...

This paper presents an image compression using singular value decomposition (SVD) by extracting the red, green, and blue (RGB) channel colors. Image is needed in development of various multimedia computer services applications for example telecommunications storage technologies. Now a days, video technology, digital broadcast codec teleconferencing become popular always requires high process di...

This paper investigates the performance of multiple-input multiple-out (MIMO) wireless communication systems in a multiuser environment. The user information is defined by a data matrix generated by the observed input-output data of the system, from which subspace identification method is developed using LQ-decomposition of the matrix. The LQ-decomposition is basically used to solve for the use...