@article{5212,
  author       = {{Schmelter, Anja}},
  journal      = {{Die Betriebswirtschaft}},
  pages        = {{ 471--486}},
  title        = {{{ Entwicklungsverläufe forschungsnaher Unternehmensgründungen und deren Determinanten}}},
  volume       = {{Vol. 64 (4)}},
  year         = {{2004}},
}

@misc{10181,
  author       = {{Witte, Stefan and Stanimirov, M.}},
  title        = {{{Wireless in Automation}}},
  year         = {{2004}},
}

@inproceedings{2055,
  abstract     = {{Nonlinear spatial transforms and fuzzy pattern classification with unimodal potential functions are already established in signal processing. They have proved to be excellent tools in feature extraction and classification. We propose an inspection method for pattern recognition and classification of two dimensional translation variant security elements such as stripes, kinegrams and others, which are widely used as applications in bank note printing. The system is based on discrete non linear translation invariant circular transforms and fuzzy pattern classification. Nonlinear discrete circular transforms are adaptable transforms, which can be optimized for different application tasks, such as translation variant object analysis and position location. They are mainly used as generators for feature vectors. Even though, the feature vector is theoretically translation invariant, the object movement creates a translation tolerant feature vector, because in real systems and applications many problems can occur, such as signal and optical distortions. Therefore, the features should be further analysed by a fuzzy pattern classifier. Implementation of the transforms and fuzzy pattern classifier in radix-2-structures is possible, allowing fast calculations with a computational complexity of O(N) up to O(Nld(N)). Furthermore, the algorithms can be implemented in one Field Programmable Gate Array (FPGA), which operates with 40 MHz clock rate.}},
  author       = {{Türke, Thomas and Lohweg, Volker}},
  booktitle    = {{IST/SPIE 16th Annual Symposium on Electronic Imaging - Real-Time Imaging VIII - Vol 5297}},
  editor       = {{Nasser Kehtarnavaz, Phillip A. Laplante}},
  pages        = {{204--211}},
  publisher    = {{SPIE}},
  title        = {{{Real-time image-processing-system-on-chip for security feature detection and classification}}},
  doi          = {{dx.doi.org/10.1117/12.527452}},
  year         = {{2004}},
}

@article{2056,
  abstract     = {{Nonlinear spatial transforms and fuzzy pattern classification with unimodal potential functions are established in signal processing. They have proved to be excellent tools in feature extraction and classification. In this paper, we will present a hardware-accelerated image processing and classification system which is implemented on one field-programmable gate array (FPGA). Nonlinear discrete circular transforms generate a feature vector. The features are analyzed by a fuzzy classifier. This principle can be used for feature extraction, pattern recognition, and classification tasks. Implementation in radix-2 structures is possible, allowing fast calculations with a computational complexity of up to. Furthermore, the pattern separability properties of these transforms are better than those achieved with the well-known method based on the power spectrum of the Fourier Transform, or on several other transforms. Using different signal flow structures, the transforms can be adapted to different image and signal processing applications.}},
  author       = {{Lohweg, Volker and Diederichs, Carsten and Müller, Dietmar}},
  issn         = {{1110-8657 }},
  journal      = {{EURASIP journal on applied signal processing : a publication of the European Association for Speech, Signal, and Image Processing }},
  keywords     = {{image processing, nonlinear circular transforms, feature extraction, fuzzy pattern recognition}},
  number       = {{1}},
  pages        = {{1912--1920}},
  publisher    = {{Hindawi Publ.}},
  title        = {{{Algorithms for Hardware-Based Pattern Recognition}}},
  doi          = {{https://doi.org/10.1155/S1110865704404247}},
  volume       = {{12}},
  year         = {{2004}},
}