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In [21], the ML estimator was still applied which led the steering vector estimation problem into a fractional quadratically constrained quadratic problem (QCQP).
This brings about the need to estimate the noise variance for each subcarrier, yielding a vector estimation, denoted σ 2, rather than a scalar.
This is done in a general framework where the speech enhancement problem is stated as a signal vector estimation problem, i.e., with a filter matrix, where the estimate is obtained by means of a matrix-vector product of the filter matrix and the noisy signal vector.
This article presents a velocity vector estimation method from ultrasonic imaging.
This paper proposes a precise line-of-sight (LOS) vector estimation using an inter-satellite radio frequency system.
We develop a fully Bayesian method to analyze the single index models, including variable selection, the index vector estimation and the link function fitting with free-knot splines.
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The work easily extends to vector estimations, in which case spatial correlation can be exploited for improved performance.
A.3 Support-set merger and metric-vector estimation.
Stationary discrete-time stochastic processes, Wiener filter theory, the method of steepest descent, adaptive transverse filters using gradient-vector estimation, analysis of the LMS algorithm, least-squares methods, recursive least squares and least squares lattic adaptive filters.
Compared with CoSaMP algorithm, the procedures of support-set merger and metric-vector estimation in the proposed MFB-CoSaMP are similar, just with different support-set T. A.4 Identification based on EMV.
surface normal vectors estimation, border points detection, C 1 parameter computation [26].
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