Filter Frequency Response Segmentation for Intuitive Band Adjustment
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Solution Overview
Problem
Existing sound reproduction systems face difficulties in intuitively adjusting frequency characteristics to match target characteristics, particularly in specifying and adjusting partial bands to avoid deterioration of sound quality.
Innovation Solution
A method and apparatus that divide a target frequency band into partial bands based on the intersection of smoothed and target spectrum envelopes, allowing users to set filter frequency responses for specified partial bands through intuitive graphical user interface operations, enabling precise adjustments without cumbersome parameter settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If multiple-band PEQ is used to smooth pronounced peaks in frequency characteristics, then frequency characteristics can be adjusted, but it becomes difficult to intuitively adjust frequency characteristics to approach target characteristics when independently setting center frequencies, Q values, and gains
Solution Approach 1:
The patent segments the frequency band into multiple partial bands based on the intersection points between the measured frequency characteristics and target frequency characteristics. This segmentation allows independent adjustment of each partial band, making it easier to precisely control frequency characteristics while maintaining operational simplicity. The automatic generation of these segments from the intersection points eliminates the need for manual configuration of multiple parameters.
Solution Approach 2:
The patent changes the parameter representation from traditional PEQ parameters (center frequency, Q value, gain) to a segment-based representation where each segment corresponds to a frequency range defined by intersection points. This parameter transformation simplifies the adjustment process by allowing users to work with frequency range segments rather than independently configuring multiple complex parameters for each band.
2Manufacturing precision
If all peaks and dips in frequency characteristics are removed to match target characteristics, then frequency characteristics approach target characteristics, but sound quality may deteriorate
Solution Approach 1:
The patent applies local quality by allowing selective adjustment of only those frequency segments where deviations from target characteristics exceed a predetermined threshold. This means that minor peaks and dips that do not significantly affect sound quality are left unchanged, while only problematic segments are corrected. This selective approach maintains sound quality by preserving natural acoustic characteristics that do not need correction.
Solution Approach 2:
The patent implements partial action by adjusting only the necessary portions of the frequency spectrum rather than uniformly correcting all deviations. By using a threshold-based approach, the system performs correction only where needed (when deviations exceed the threshold), avoiding over-correction of minor variations that would otherwise be imperceptible and potentially harmful to sound quality.
3Ease of operation
If traditional PEQ parameter setting is used, then frequency characteristics can be adjusted, but the process requires cumbersome independent adjustment of three correction parameters
Solution Approach 1:
The patent merges the three separate PEQ parameters (center frequency, Q value, gain) into a unified segment-based adjustment mechanism. Each frequency segment automatically inherits appropriate center frequency and Q value settings based on its boundary definitions from intersection points, while only requiring gain adjustment. This merging reduces the number of independent parameters users must configure from three per band to essentially one primary parameter (gain) per segment.
Solution Approach 2:
The system performs self-service by automatically determining segment boundaries from the intersection of measured and target frequency characteristics, and automatically setting appropriate center frequencies and Q values for each segment. This automation eliminates the need for manual configuration of these parameters, allowing the system to serve itself in preparing the adjustment framework, and requiring user input only for the final gain adjustments.
Data Source
AI summary
A method for setting a filter frequency response includes: dividing a target frequency band into multiple first partial bands at a frequency corresponding to an intersection between a first line representative of a target spectrum envelope and a second line representative of a first spectrum envelope derived from smoothing a measured frequency spectrum; and setting a frequency response of a filter corresponding to a first partial band specified by an operator from among the multiple first partial bands, in accordance with a setting operation for setting an adjustment amount performed by the operator with respect to the specified first partial band.