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Reconstruction of a Signal from the Real Part of Its Discrete Fourier Transform Tips & Tricks.

, and . IEEE Signal Process. Mag., 35 (2): 162-174 (2018)

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Perceptually motivated linear prediction cepstral features for network speech recognition., , and . ICSPCS, page 1-5. IEEE, (2016)Multi-Frame GMM-Based Block Quantisation for Distributed Speech Recognition Under Noisy Conditions., and . ICASSP (1), page 189-192. IEEE, (2006)Using Dynamic Time Warping for Noise Robust ECG R-peak Detection., , , and . ICSPCS, page 1-7. IEEE, (2019)Low-complexity GMM-based block quantisation of images using the discrete cosine transform., and . Signal Process. Image Commun., 20 (5): 435-446 (2005)Scalable distributed speech recognition using Gaussian mixture model-based block quantisation., and . Speech Commun., 48 (6): 746-758 (2006)Scalable distributed speech recognition using multi-frame GMM-based block quantization., and . INTERSPEECH, page 617-620. ISCA, (2004)Reconstruction of a Signal from the Real Part of Its Discrete Fourier Transform Tips & Tricks., and . IEEE Signal Process. Mag., 35 (2): 162-174 (2018)Kalman Filter with Sensitivity Tuning for Improved Noise Reduction in Speech., , , and . CSSP, 36 (4): 1476-1492 (2017)A comparison of estimation methods in the discrete cosine transform modulation domain for speech enhancement., , , and . ICSPCS, page 1-5. IEEE, (2016)Multiple frame block quantisation of line spectral frequencies using Gaussian mixture models., and . ICASSP (1), page 149-152. IEEE, (2004)