US6154547 1998年5月7日 2000年11月28日 Visteon Global Technologies, Inc. Adaptive noise reduction filter with continuously variable sliding bandwidthUS6154547 * 1998年5月7日 2000年11月28日 Visteon Global Technologies, Inc. Adaptive noise reduction filter with continuously variable sliding bandwidth...
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Adaptive FilterAPDLMSBERIIRFIREUTThis paper describes a technique by which we can reduce the noise impacting the performance of digital communication system using adaptive filter. Adaptive filters self learn. As the signal into the filter continues, the adaptive filter coefficients adjust themselves to...
a filter coefficient controlling unit for optimizing a coefficient of the first adaptive digital filter with employment of the predicted value of the transfer function and the output of the noise- reduction error sensor, and a control uni... K Ohki,S Shimode,Y Iwase,... - US 被引量: 101...
Moreover, we present a new noise reduction filter based on minimum mean-square error (MMSE), which belongs to the class of common gain filters, hence being rigorous in terms of spatial cue preservation but also efficient and competitive for the acoustic noise reduction task. A formal real-...
In situations where high sensitivity to sharpness is needed, a discontinuity preserving noise reduction filter such as non-local means can be employed. Yi et al. [21] proposed the LBP-based defocus blur where LBP patterns (8-bit) are reduced into only 10 patterns, out of which 9 patterns ...
A technique that uses a linear prediction error filter (LPEF) and an adaptive digital filter (ADF) to achieve noise reduction in a speech degraded by additive background noise is proposed. Since a speech signal can be represented as the stationary signal over a short interval of time, most ...
Measuring the diffusion properties of crossing fibers is very challenging due to the high number of model parameters involved and the intrinsically low SNR of Diffusion Weighted MR Images. Noise filtering aims at suppressing the noise while pertaining th
Applications of adaptive filter: (A) adaptive noise canceller; (B) adaptive channel equalization. J=E(ε2(t))=E[(s(t)+n(t)−x(t))2] to be minimum, in which x(t) is the output of m(t) by passing through the filter H(f). We see that J=E(s2(t))+E[(n(t)−x(t)...
using a total image count-dependent Metz filter, resolution and contrast is degraded across the image. Adaptive non-stationary filtering has been applied by others in an attempt to maintain structure whilst reducing noise: instead of analysing the whole image, only a subset is used to determine ...