This paper presents a design method for frequency response masking (FRM)-based nonuniform filter bank with reduced effective wordlength. Instead of designing prototype filters separately, we propose to model the filter bank design problem as a nonlinear programming problem and jointly design the prototype filters in the FRM structure. Moreover, in this work, all the filters are designed directly in the finite wordlength space, such that they can be directly implemented using efficient fixed-point arithmetic without any quantization. By simultaneously considering all the subband constraints during optimization, the proposed method is able to guarantee the desirable stopband attenuation for all subbands and achieve optimal effective wordlength (EWL) for the coefficients, reducing the hardware complexity for very large-scale integration (VLSI) implementation. Experimental results show that the hardware complexity of filter banks can be reduced without sacrificing the audiogram compensation performance for hearing aid applications.
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http://dx.doi.org/10.1109/TBCAS.2022.3221359 | DOI Listing |
In brain-computer interfaces (BCIs) based on motor imagery (MI), reducing calibration time is gradually becoming an urgent issue in practical applications. Recently, transfer learning (TL) has demonstrated its effectiveness in reducing calibration time in MI-BCI. However, the different data distribution of subjects greatly affects the application effect of TL in MI-BCI.
View Article and Find Full Text PDFBiophys J
December 2024
I.M. Sechenov Institute of Evolutionary Physiology and Biochemistry Russian Academy of Sciences, St. Petersburg, Russia; Department of Biochemistry and Biomedical Sciences, Master University, Hamilton, Canada. Electronic address:
Despite their large functional diversity and poor sequence similarity, tetrameric and pseudo-tetrameric potassium, sodium, calcium and cyclic-nucleotide gated channels, as well as two-pore channels, transient receptor potential channels and ionotropic glutamate receptors share a common folding pattern of the transmembrane (TM) helices in the pore-forming domain. In each subunit or repeat, the pore domain has two TM helices connected by a membrane-reentering P-loop. The P-loop includes a membrane-descending helix, P1, which is structurally the most conserved element of these channels, and residues that contribute to the selectivity-filter region at the constriction of the ion-permeating pathway.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Computer Science, Stanford University, 353 Jane Stanford Way, Stanford, CA, 94305, USA.
We first propose a Kalman contrastive (KalCo) framework for unsupervised representation learning by dictionary lookup. It builds a dynamic dictionary of encoded representation keys with a queue and a Kalman filter encoder, to which the encoded queries are matched. The large and consistent dictionaries built this way increase the accuracy of KalCo to values much higher than those of the famous momentum contrastive (MoCo) unsupervised learning, which is actually a very simplified version of KalCo with only a fixed scaler momentum coefficient.
View Article and Find Full Text PDFSensors (Basel)
November 2024
Department of Electrical, Electronics and Computer Engineering, University of Ulsan, Ulsan 44610, Republic of Korea.
Accurate and reliable bearing-fault diagnosis is important for ensuring the efficiency and safety of industrial machinery. This paper presents a novel method for bearing-fault diagnosis using Mel-transformed scalograms obtained from vibrational signals (VS). The signals are windowed and pass through a Mel filter bank, converting them into a Mel spectrum.
View Article and Find Full Text PDFEntropy (Basel)
November 2024
State Key Laboratory of Advanced Rail Autonomous Operation, School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China.
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