Wavelet-denoising on hardware devices with Perfect Reconstruction, low latency and adaptive thresholding
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Wavelet-denoising on hardware devices with Perfect (1,670Mb) (Accés restringit)
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10.1016/j.compeleceng.2013.03.005
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/20141
Tipus de documentArticle
Data publicació2013-05
Condicions d'accésAccés restringit per política de l'editorial
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Abstract
This paper introduces a wavelet denoising architecture with adaptive thresholding for real-time 1D-systems and without the use of external memories for storing input data or wavelet coefficients. The Discrete Wavelet Transform (DWT) is executed sample-by-sample by a polyphase scheme of the biorthogonal base 5/3. Since the weights of the filters are represented by integer terms and the quantization error is quasi-zero, the principle of Perfect Reconstruction is satisfied. The adaptive threshold is based on a real-time sorting process which calculates the median of the detail coefficients. Simulations are presented to measure the delay, latency, quantization error and hardware cost. A comparison with related works is also provided in order to show the strengths of the current proposal. The good trade-off among reconstruction error, latency, delay and hardware cost permits to use the proposed architecture in a wide variety of signals that require good fidelity and prompt response.
CitacióBallesteros, D.; Moreno, J. Wavelet-denoising on hardware devices with Perfect Reconstruction, low latency and adaptive thresholding. "Computers and electrical engineering", Maig 2013, vol. 39, núm. 4, p. 1300-1311.
ISSN0045-7906
Versió de l'editorhttp://www.sciencedirect.com/science/article/pii/S0045790613000621#
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Wavelet-denoisi ... e devices with Perfect.pdf | Wavelet-denoising on hardware devices with Perfect | 1,670Mb | Accés restringit |