FFT Bin Soft Limiting for Louder Audio With Less Distortion

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Solution Overview

Problem

Existing audio signal processing methods using filter banks and hard clipping for volume extension suffer from limited resolution and introduce significant noise due to hard limiting, leading to harmonic distortion.

Innovation Solution

The method involves applying soft limiting and smoothing to the magnitudes of Fast Fourier Transform (FFT) frequency bins, using a Hanning window and a one-pole filter to reduce distortion and improve frequency resolution, thereby allowing increased audio output without distortion.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Power

If hard clipping is used to suppress problematic frequency bands, then volume extension is achieved, but significant noise is introduced and harmonic distortion occurs

Engineering Contradiction:
Improveoutput volumeVSAvoidharmonic distortion and noise
Core Design Contradiction:
PowerVSObject-generated harmful factors

Solution Approach 1:

The patent segments the audio signal into multiple frequency bands using FFT analysis, allowing independent processing of each frequency bin. This segmentation enables precise control over problematic frequencies without affecting the entire signal, thereby achieving volume extension while minimizing distortion and noise introduction.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent changes the limiting parameter from hard clipping (abrupt threshold) to soft limiting (gradual compression). By applying a compression ratio greater than 1:1 to FFT bin magnitudes that exceed a threshold, the system achieves volume control with smooth transitions, eliminating the harsh distortion associated with hard clipping while maintaining perceived loudness.

Inventive Principle:
Principle #35Parameter changes

2Measurement precision

If filter banks are used for volume extension, then frequency band control is improved, but resolution remains limited and noise is introduced

Engineering Contradiction:
Improvefrequency resolutionVSAvoidnoise
Core Design Contradiction:
Measurement precisionVSObject-generated harmful factors

Solution Approach 1:

The patent transitions from time-domain filtering to frequency-domain processing using FFT. This dimensional change allows for much finer frequency resolution by analyzing individual FFT bins rather than broad filter bands. The frequency resolution is determined by the FFT size and window length, enabling precise identification and control of problematic frequencies without introducing noise.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Solution Approach 2:

The patent replaces the mechanical filter bank approach with a mathematical FFT-based frequency analysis system. This substitution enables more precise frequency resolution and control, as FFT provides exact frequency bin centers rather than the approximate passbands of physical filters. The soft limiting applied in the frequency domain avoids the noise introduction characteristic of hard mechanical clipping.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Object-generated harmful factors

If soft limiting is applied to FFT bin magnitudes, then distortion is reduced, but processing complexity increases

Engineering Contradiction:
ImprovedistortionVSAvoidsignal processing complexity
Core Design Contradiction:
Object-generated harmful factorsVSDevice complexity

Solution Approach 1:

The patent applies a Hanning window function to the time-domain signal before performing FFT analysis. This preliminary action reduces spectral leakage and improves frequency bin accuracy, ensuring that the soft limiting is applied to correctly identified frequency components. The windowing prepares the signal in advance, making the subsequent frequency-domain processing more efficient and accurate.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent implements a feedback mechanism where the limited FFT bin magnitudes are transformed back to the time domain via inverse FFT, and the result is combined with the original signal. This feedback loop ensures that the soft limiting is applied iteratively and correctly, maintaining signal integrity while reducing distortion. The feedback approach allows the system to adapt to the actual signal characteristics rather than applying fixed processing.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS9210506B1FFT bin based signal limiting
Publication Date: 2015.12.08 SOUND UNITED LLC
  • US9210506B1 patent drawing
  • US9210506B1 patent drawing
  • US9210506B1 patent drawing

AI summary

Volume extension includes limiting the magnitude of Fast Fourier Transform (FFT) frequency bins which allows increases to the perceived level of audio content without causing distortion. A soft limit and smoothing is applied to each FFT bin is to prevent or reduce distortion while maximizing output volume. Frequency resolution is significantly improved compared to volume extension methods utilizing filterbanks and hard limiting, and distortion is reduced because no hard limiting occurs.