Abstract: Provided is a method for audio peak reduction using an all-pass filter, including: determining a delay parameter m and a gain parameter g based on a formula (1): arg ? min m , g max n ? "\[LeftBracketingBar]" y m , g ( n ) ? "\[RightBracketingBar]" , ( 1 ) absolute peak map Y ? ( m , g ) = max n ? "\[LeftBracketingBar]" y m , g ( n ) ? "\[RightBracketingBar]" , ym,g(n) represents a processed signal with a time-domain response function and is calculated based on a formula (2): ym,g(n)=(hs*x)(n)(2), where hs represents an impulse response function, x (n) represents an input signal, and hs is calculated based on formula (3): H S ( z ) = g + z - m 1 + gz - m . ( 3 ) This method is widely used in the reproduction, storage and broadcasting of sound, and the computational complexity is small, which is a supplement to the traditional nonlinear compression algorithm.

Abstract: Provided is a method for audio peak reduction using an all-pass filter, including: determining a delay parameter m and a gain parameter g based on a formula (1): arg ? min m , g max n ? "\[LeftBracketingBar]" y m , g ( n ) ? "\[RightBracketingBar]" , ( 1 ) absolute peak map Y ? ( m , g ) = max n ? "\[LeftBracketingBar]" y m , g ( n ) ? "\[RightBracketingBar]" , ym,g(n) represents a processed signal with a time-domain response function and is calculated based on a formula (2): ym,g(n)=(hs*x)(n)(2), where hs represents an impulse response function, x (n) represents an input signal, and hs is calculated based on formula (3): H S ( z ) = g + z - m 1 + gz - m . ( 3 ) This method is widely used in the reproduction, storage and broadcasting of sound, and the computational complexity is small, which is a supplement to the traditional nonlinear compression algorithm.