@inproceedings{6508,
  abstract     = {{In this paper, we present a framework that supports experimenting with evolutionary hardware design. We describe the framework's modules for composing evolutionary optimizers and for setting up, controlling, and analyzing experiments. Two case studies demonstrate the usefulness of the framework: evolution of hash functions and evolution based on pre-engineered circuits.}},
  author       = {{Kaufmann, Paul and Platzner, Marco}},
  booktitle    = {{Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007)}},
  isbn         = {{076952866X}},
  keywords     = {{integrated circuit design, hardware evolution, evolutionary hardware design, evolutionary optimizers, hash functions, preengineered circuits, Hardware, Circuits, Design optimization, Visualization, Genetic programming, Genetic mutations, Clustering algorithms, Biological cells, Field programmable gate arrays, Routing}},
  location     = {{Edinburgh, UK}},
  pages        = {{447--454}},
  publisher    = {{IEEE}},
  title        = {{{MOVES: A Modular Framework for Hardware Evolution}}},
  doi          = {{10.1109/ahs.2007.73}},
  year         = {{2007}},
}

@inproceedings{11930,
  abstract     = {{For human-machine interfaces in distant-talking environments multichannel signal processing is often employed to obtain an enhanced signal for subsequent processing. In this paper we propose a novel adaptation algorithm for a filter-and-sum beamformer to adjust the coefficients of FIR filters to changing acoustic room impulses, e.g. due to speaker movement. A deterministic and a stochastic gradient ascent algorithm are derived from a constrained optimization problem, which iteratively estimates the eigenvector corresponding to the largest eigenvalue of the cross power spectral density of the microphone signals. The method does not require an explicit estimation of the speaker location. The experimental results show fast adaptation and excellent robustness of the proposed algorithm.}},
  author       = {{Warsitz, Ernst and Haeb-Umbach, Reinhold}},
  booktitle    = {{IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2005)}},
  keywords     = {{acoustic filter-and-sum beamforming, acoustic room impulses, acoustic signal processing, adaptive principal component analysis, adaptive signal processing, architectural acoustics, constrained optimization problem, cross power spectral density, deterministic algorithm, deterministic algorithms, distant-talking environments, eigenvalues and eigenfunctions, eigenvector, enhanced signal, filter-and-sum beamformer, FIR filter coefficients, FIR filter coefficients, FIR filters, gradient methods, human-machine interfaces, iterative estimation, iterative methods, largest eigenvalue, microphone signals, multichannel signal processing, optimisation, principal component analysis, spectral analysis, stochastic gradient ascent algorithm, stochastic processes}},
  pages        = {{iv/797--iv/800 Vol. 4}},
  title        = {{{Acoustic filter-and-sum beamforming by adaptive principal component analysis}}},
  doi          = {{10.1109/ICASSP.2005.1416129}},
  volume       = {{4}},
  year         = {{2005}},
}

@inproceedings{39078,
  author       = {{Gausemeier, Jürgen and Müller, Wolfgang and Paelke, Volker and Bauch, Jürgen and Shen, Q. and Radkowski, R. }},
  booktitle    = {{Proceedings of the Design 2004}},
  keywords     = {{mechatronic systems, self-optimization, virtual prototyping}},
  location     = {{Dubrovnik}},
  title        = {{{Virtual Prototyping Of Self-Optimizing Mechatronic Systems}}},
  year         = {{2004}},
}