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ABSTRACT: In this paper, an innovative educational approach to introducing undergraduates to both digital signal processing (DSP) and field programmable gate array (FPGA)-based design in a one-semester course and laboratory is described. While both DSP and FPGA-based courses are currently present in different curricula, this integrated approach reduces the number of electives students would have to take and at the same time provides a hands-on DSP experience. Developing such a new course with no textbook available is challenging. Therefore, the educational materials developed, the software tool evaluations, and topics to be covered in lectures and laboratories are described. Detailed evaluations of the selection of appropriate software and hardware platforms, topics to cover, and student feedback are provided.
IEEE Transactions on Education 12/2010; · 1.02 Impact Factor
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ABSTRACT: Inner hair cells (IHCs) transform the mechanical movements of the basilar membrane into electrical impulses. The impulse coding of the IHCs is the main information carrier in the auditory process and is the basis for improvements of cochlea implants as well as for low rate, high-quality speech processing and compression. This paper shows how to compute the speech signal from the neural firing based on the analysis of the interspike interval histogram. This new approach solves problems that other standard analysis methods do not solve sufficiently well.
Biological Cybernetics 05/2000; 82(4):283-90. · 1.59 Impact Factor
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ABSTRACT: This paper describes how the real-time bandwidth of a radial basis neural network (RBNN) can be improved by the use of a field programmable gate array (FPGA). Accelerated performance is gained by moving the time-consuming RBNN exponential calculations from a general purpose processor to a dedicated FPGA that implements an optimized CORDIC-algorithm. The design methodology is presented and illustrated with a speech recognition application.
Journal of VLSI Signal Processing 11/1998; 20(3):211-218. · 0.73 Impact Factor
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ABSTRACT: Auditory perception neurons, also called inner hair cells (IHCs) because of their physical shape, transform the mechanical movements of the basilar membrane into electrical impulses. The impulse coding of the IHC is the main information carrier in the auditory process and is the basis for improvements in cochlear implants as well as for low-rate, high-quality speech processing and compression. This paper compares biologically motivated models (Meddis, Cooke, Payton) with a newly developed model which is transfer function oriented. The new model has only three reservoirs and the parameters can be controlled through five small ROM tables. This model is compared with the often used Meddis model in terms of accuracy, system parameter flexibility, and hardware effort in an FPGA implementation.
Biological Cybernetics 09/1997; 77(2):123-30. · 1.59 Impact Factor
