Speaker Signal Linearization Using Filtered Frequency Portions
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Solution Overview
Problem
Existing methods for linearizing drive parameters of dynamic speakers through digital signal processing are computationally intensive and require significant computing effort.
Innovation Solution
Filter the useful signal using high-pass and low-pass filters, linearize only a portion of the filtered signal, particularly the low-frequency portion, and apply reduced sampling rates to further reduce computational requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If digital signal processing is used to linearize drive parameters of dynamic speakers, then sound quality is improved, but computing effort increases significantly
Solution Approach 1:
The useful signal is divided into different frequency portions using high-pass and low-pass filters. Only the low-frequency portion (below cutoff frequency) undergoes linearization processing, while the high-frequency portion is processed separately without linearization. This segmentation allows the system to maintain sound quality in critical low-frequency ranges while reducing overall computing effort.
Solution Approach 2:
Different processing quality is applied to different frequency portions of the signal. The low-frequency portion receives full linearization processing with high computational effort, while the high-frequency portion receives simplified processing with reduced computational effort. This local quality approach optimizes the trade-off between sound quality and computing resources.
2Measurement precision
If higher-order polynomials are used to model nonlinearities of speaker parameters, then linearization accuracy is improved, but calculation complexity increases
Solution Approach 1:
The patent extracts and processes only the necessary portion of the signal (low-frequency component) that requires linearization. By removing the high-frequency portion from linearization processing, the system reduces calculation complexity while maintaining adequate performance where it matters most.
Solution Approach 2:
Instead of applying linearization to the entire useful signal, the patent applies partial linearization only to the low-frequency portion. This partial action approach provides sufficient linearization accuracy for critical frequencies while avoiding the excessive computational burden of processing the complete signal spectrum.
3Reliability
If sampling rate is increased to capture more signal details, then signal fidelity is improved, but processing time increases
Solution Approach 1:
The signal processing is segmented by frequency, with different sampling rate requirements applied to different portions. The low-frequency portion can use lower sampling rates adequate for its bandwidth, while the high-frequency portion is handled separately, reducing overall processing time while maintaining signal fidelity where needed.
Data Source
AI summary
A method for operating a speaker, in particular a dynamic-speaker, in which a useful signal for producing sound by the speaker is linearized. According to the disclosure, the useful signal is filtered depending on frequency and only a filtered portion of the useful signal is linearized. Advantageously, the useful signal is filtered by a high-pass filter and/or a low-pass filter. In one embodiment, only a portion of the useful signal that is output by the low-pass filter is linearized.