Karl S. Gugel

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This paper presents a powerful and flexible Digital Signal Processing (DSP) architecture based on the Texas Instruments TMS320VC33 DSP and high speed PCI bus. The DSP board provides a convenient, flexible means to test signal processing algorithms in real-time hardware. Algorithms implemented for several research projects include Normalized Least Mean(More)
— In this paper, we present a design for a wearable DSP system that is capable of processing various neural-to-motor translation algorithms. The system first acquires the neural data through a high speed data bus in order to train and evaluate our prediction models. Then via a widely used protocol, the low-bandwidth output trajectory is wirelessly(More)
Transversal adaptive filters for digital signal processing have traditionally been implemented into DSP processors due to their ability to perform fast floating-point arithmetic. However, with its growing die size as well as incorporating the embedded DSP block, the FPGA devices have become a serious contender in the signal processing market. Although it is(More)
In this paper, we present a design for a wearable computational DSP system that alleviates the issues of a previous design and provides a much smaller and lower power solution for the overall BMI goals. The system first acquires the neural data through a high speed data bus in order to train and evaluate prediction models. Then it wirelessly transmits the(More)
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