Due to the dependency structure, most of the covariance matrix faces with the singularity problem. There are several methods to overcome this challenge. The most well-known ones are the eigen-value, singular value, and cholesky decompositions. In this paper, we develop a new method to deal with the singularity problem while preserving the covariance structure of the original matrix and compare ...

In this paper, we propose a low complexity two-dimensional direction of arrival (2D-DOA) estimation in monostatic multiple-input multiple-output (MIMO) radar with double parallel uniform linear arrays. The proposed algorithm uses propagator method (PM), which does not require any eigen-value decomposition of the covariance matrix and singular value decomposition of the received data, obtains cl...

The novel theory of Compressed Sensing (CS) reduces the samples of compressible signal sharply by information sampling. In order to improve reconstruction accuracy of noise signal for CS, a Singular Value Decomposition (SVD) noise signal reconstruction algorithm is presented in this paper. This algorithm decomposes the random measurement matrix, modifies the diagonal matrix Eigen values by mean...

We present a new method for unsupervised, fast speaker adaptation that combines the Eigen-MLLR transform approach with discriminative MLLR. We thereby aim to profit both from the performance improvements that are generally provided by a discriminative approach, and from the reliability that Eigen-MLLR has demonstrated in fast adaptation scenarios. We present first evaluation results on the Spok...

This paper describes a method of fingerprint classification using Eigen Block Directional Fingerprints. The method we propose dispenses off with the preprocessing stages such as segmentation, binarisation, thinning etc. We determine the block directional representation of a fingerprint and the location of the core points in a set of template fingerprints which belong to the same class. In the n...

For a passive direction of arrival (DOA) measurement system using massive multiple input output (MIMO), it is mandatory to infer whether the emitter exists or not before performing DOA estimation operation. Inspired by detection idea from radio and ranging (radar), three high-performance detectors are proposed existence single eigen-space sample covariance matrix receive signal vector. The firs...

In [1] a method of decomposing a 3D wave field into spherical harmonics (’eigen-beams’) by using spherical microphone arrays was introduced. It was further shown how the eigen-beams can be used for beamforming applications by means of a modal beamformer structure. This paper introduces a method for the unambiguous localization of multiple wideband acoustic sources in 3D space using the eigen-be...

In the year 2000 the dominant method for solving matrix eigen-value problems is still the QR algorithm. This paper discusses the family of GR algorithms, with emphasis on the QR algorithm. Included are historical remarks, an outline of what GR algorithms are and why they work, and descriptions of the latest, highly parallelizable, versions of the QR algorithm. Now that we know how to paralleliz...