most citedKählerian information geometry for signal processing

7 citations · 15 across the 7 of their papers we have counts for

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7 papers

stat.ME2018

Orthogonal Representations for Output System Pairs

Andrew Mullhaupt, Kurt Riedel

A new class of canonical forms is given proposed in which is in Hessenberg observer or Schur form and output normal: . Here, is the m…

stat.ME2018★ 3 cited

Exponential Condition Number of Solutions of the Discrete Lyapunov Equation

Andrew Mullhaupt, Kurt Riedel

The condition number of the matrix is examined, where solves %the discete Lyapunov equation, , and is a matrix. Lower bounds on…

stat.ME2018

Fast Adaptive Identification of Stable Innovation Filters

Andrew P. Mullhaupt, Kurt S. Riedel

The adaptive identification of the impulse response of an innovation filter is considered. The impulse response is a finite sum of known basis functions with unknown coefficients.…

stat.ME2018

Banded Matrix Fraction Representation of Triangular Input Normal Pairs

Andrew P. Mullhaupt, Kurt S. Riedel

An input pair is triangular input normal if and only if is triangular and , where is theidentity matrix. Input normal pairs generate an orthono…

math.DG2014★ 3 cited

Application of Kähler manifold to signal processing and Bayesian inference

Jaehyung Choi, Andrew P. Mullhaupt

We review the information geometry of linear systems and its application to Bayesian inference, and the simplification available in the Kähler manifold case. We find conditions for…

math.ST2014★ 2 cited

Geometric shrinkage priors for Kählerian signal filters

Jaehyung Choi, Andrew P. Mullhaupt

We construct geometric shrinkage priors for Kählerian signal filters. Based on the characteristics of Kähler manifolds, an efficient and robust algorithm for finding superharmonic…