摘要:
Partitioned block frequency domain adaptive filter device comprising: a frequency domain adaptive filter configured for filtering a frequency domain representation of a time domain input signal depending on a set of filter coefficients consisting of a plurality of blocks of filter coefficients in order to produce a filtered signal; a plurality of parallel arranged filter update blocks, each of the filter update blocks being configured for updating one of the blocks of filter coefficients based on an update signal gathered by a circular correlation of a block of the frequency domain representation signal and a frequency domain control signal comprising a representation of the filtered signal; wherein each of the filter update blocks comprises an adaptation module configured for executing an adaptation sequence comprising the steps of calculating an approximation of a constrained gradient update for the filter coefficients of the respective block of filter coefficients by applying an approximated constraining matrix having a lesser complexity than a constraining matrix to an unconstrained gradient update for the filter coefficients of the respective block of filter coefficients, wherein the unconstrained gradient update is derived from the update signal, and calculating a cumulative error introduced on the unconstrained gradient update by applying the approximated constraining matrix to the unconstrained gradient update; wherein each of the filter update blocks comprises a correction module configured for executing a correction sequence comprising the steps of calculating a corrected constrained gradient update for the filter coefficients of the respective block of filter coefficients by applying the frequency domain constraining matrix to a sum of the approximation of the constrained gradient update and the cumulative error.
摘要:
A method for estimating noise in an audio signal includes determining an energy value for the audio signal, converting the energy value into the log2-domain, and estimating a noise level for the audio signal based on the converted energy value directly in the log2-domain. The energy value is converted into the log2-domain as follows: E n_log = ⌊ log 2 1 + E n_lin ⋅ 2 N ⌋ 2 N └ x ┘ floor (x), indicating the largest integer less than or equal to x, E n_log energy value of band n in the log2-domain, E n_lin energy value of band n in the linear domain, N quantization resolution. Determining the energy value includes obtaining a power spectrum of the audio signal by a combination of several transformations covering different parts of the spectrum.