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FPGA-based real-time acoustic camera using pdm mems microphones with a custom demodulation filter.

, , and . SAM, page 181-184. IEEE, (2014)

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A machine learning approach for computationally and energy efficient speech enhancement in binaural hearing aids., , and . ICASSP, page 6515-6519. IEEE, (2016)FPGA-based real-time acoustic camera using pdm mems microphones with a custom demodulation filter., , and . SAM, page 181-184. IEEE, (2014)Sinusoidal Modelling with Complex Exponentials for Speech and Audio Signals., , , , , and . IbPRIA, volume 2652 of Lecture Notes in Computer Science, page 1049-1056. Springer, (2003)Analysis of the Effects of Finite Precision in Neural Network-Based Sound Classifiers for Digital Hearing Aids., , , , and . EURASIP J. Adv. Signal Process., (2009)Enlarging Training Sets for Neural Networks., , , and . ANNs, page 25-33. INSTICC Press, (2004)On the Capability of Neural Networks to Approximate the Neyman-Pearson Detector: A Theoretical Study., , , and . ANNs, page 69-76. INSTICC Press, (2004)Coherent Detection of Swerling 0 Targets in Sea-Ice Weibull-Distributed Clutter Using Neural Networks., , , and . IEEE Trans. Instrum. Meas., 59 (12): 3139-3151 (2010)Importance Sampling for Objective Function Estimations in Neural Detector Training Driven by Genetic Algorithms., , , , and . Neural Process. Lett., 32 (3): 249-268 (2010)Robustness with respect to the signal-to-noise ratio of MLP-based detectors in Weibull clutter., , , , and . EUSIPCO, page 1736-1740. IEEE, (2007)Time-frequency analysis as a tool for improving neural detectors for low probability of false alarm., , , and . ICECS, page 91-94. IEEE, (2001)