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  • 1
    Electronic Resource
    Electronic Resource
    Quantification of Spice Mixture Compositions by Electronic Nose: Part I. Experimental Design and Data Analysis Using Neural Networks (2005)
    Oxford, UK : Blackwell Publishing Ltd
    Journal of food science 70 (2005), S. 0 
    Details
    ISSN: 1750-3841
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Process Engineering, Biotechnology, Nutrition Technology
    Notes: : A quantitative procedure was developed to predict the composition of ternary ground spice mixtures using an electronic nose. Basil, cinnamon, and garlic were mixed in different compositions and presented to an e-nose. Nineteen training mixtures were used to build predictive models. Model performance was tested using 5 other mixtures. Three neural network structures—multilayer perceptron (MLP), MLP using principal component analysis as a preprocessor (PCA-MLP), and the time-delay neural network (TDNN)—were used for predictive model building. All 3 neural network models predicted the testing mixtures' compositions with a mean square error (MSE) equal or less than 0.0051 (in a fraction domain where sum of fractions = 1). The TDNN provided the smallest MSE.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/j.1365-2621.2005.tb07180.x
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  • 2
    Electronic Resource
    Electronic Resource
    Learning from Examples with Information Theoretic Criteria (2000)
    Springer
    The journal of VLSI signal processing systems for signal, image, and video technology 26 (2000), S. 61-77 
    Details
    ISSN: 1573-109X
    Source: Springer Online Journal Archives 1860-2000
    Topics: Electrical Engineering, Measurement and Control Technology
    Notes: Abstract This paper discusses a framework for learning based on information theoretic criteria. A novel algorithm based on Renyi's quadratic entropy is used to train, directly from a data set, linear or nonlinear mappers for entropy maximization or minimization. We provide an intriguing analogy between the computation and an information potential measuring the interactions among the data samples. We also propose two approximations to the Kulback-Leibler divergence based on quadratic distances (Cauchy-Schwartz inequality and Euclidean distance). These distances can still be computed using the information potential. We test the newly proposed distances in blind source separation (unsupervised learning) and in feature extraction for classification (supervised learning). In blind source separation our algorithm is capable of separating instantaneously mixed sources, and for classification the performance of our classifier is comparable to the support vector machines (SVMs).
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1008143417156
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    Paper (German National Licenses)
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  • 3
    Electronic Resource
    Electronic Resource
    A Monaural Cue Sound Localizer (2000)
    Springer
    Analog integrated circuits and signal processing 23 (2000), S. 163-172 
    Details
    ISSN: 1573-1979
    Keywords: sound localization ; neuromorphic ; echo detection ; monaural localization
    Source: Springer Online Journal Archives 1860-2000
    Topics: Electrical Engineering, Measurement and Control Technology
    Notes: Abstract We describe the first single microphone sound localization system and its inspiration from theories of human monaural sound localization. Reflections and diffractions caused by the external ear (pinna) allow humans to estimate sound source elevations using only one ear. Our single microphone localization model relies on a specially shaped reflecting structure that serves the role of the pinna. Specially designed analog VLSI circuitry uses echo-time processing to localize the sound. A CMOS integrated circuit has been designed, fabricated, and successfully demonstrated on actual sounds.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1008350127376
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    Paper (German National Licenses)
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  • 4
    Electronic Resource
    Electronic Resource
    Analog Hardware Implementation of Continuous-Time Adaptive Filter Structures (1999)
    Springer
    Analog integrated circuits and signal processing 18 (1999), S. 209-227 
    Details
    ISSN: 1573-1979
    Keywords: gamma filter ; leaky LMS algorithm ; generalized feedforward transversal filter ; Laguerre filter ; system identification ; multi-scale gamma filter
    Source: Springer Online Journal Archives 1860-2000
    Topics: Electrical Engineering, Measurement and Control Technology
    Notes: Abstract We have implemented a four-tap adaptive filter in a continuous-time analog VLSI circuit. Since an ideal delay is impossible to implement in continuous-time hardware, we implemented the delay line as a cascade of low-pass filters (called the gamma filter). Since many years of research in our lab has shown that the gamma filter outperforms the ideal delay line for a wide range of applications, the gamma filter should not be considered merely a crude approximation of the ideal delay line. We show measured results from an analog chip that solves the problem of system identification–identifying an unknown linear circuit from its input/output relationship. Furthermore, we believe that a cascade of all-pass filters (called the Laguerre filter) will potentially outperform the gamma. We have built an adaptive Laguerre filter and show that its measured convergence rate is superior to that of the gamma. Finally, rather than perform gradient descent on a multimodal error function to determine a single optimal time constant, we propose multi-scale realizations of these delay line structures.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1008363406175
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    Paper (German National Licenses)
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  • 5
    Electronic Resource
    Electronic Resource
    STL: A Spatio-Temporal characterization of focal interictal events (1993)
    Springer
    Brain topography 5 (1993), S. 215-228 
    Details
    ISSN: 1573-6792
    Keywords: Intraoperative ECoG ; Focal interictal activity ; Focus localization ; Spatio-temporal analysis
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Summary An innovative method for on-line processing of array ECoG data, the Spatio-Temporal Laplacian, intended for intraoperative epileptic focus localization is presented. This method simultaneously involves the spatial and temporal characteristics of the potential field manifestations peculiar to focal interictal events. A 3-Dimensional (x, y and t) sample space is used to explain and apply the Spatio-Temporal Laplacian (STL) transformation. In particular, a focal interictal event is detected through the coincident spatial and temporal sharpness that it introduces in this sample space. Preliminary results from two subjects are presented and compared with standard bipolar derivation signals, traditionally used in the focus localization task.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01128989
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    Paper (German National Licenses)
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