Digital Microphone Filtering to Minimize Mode-Switch Transients
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Solution Overview
Problem
Existing digital microphones face a tradeoff between decompression performance and audible transients, particularly during mode switching, where stronger low-pass filters improve signal reconstruction but prolong transients.
Innovation Solution
A digital microphone architecture that includes a controlled upsampling and downsampling component within a digital filter system, allowing for interpolation and decimation during mode transitions to minimize transient duration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a stronger low-pass filter with lower cut-off frequency is applied, then signal reconstruction quality is improved, but transient duration is prolonged
Solution Approach 1:
The filter cut-off frequency is made dynamic rather than fixed. The system switches between a first cut-off frequency (higher) and a second cut-off frequency (lower) depending on the operating condition. During transient periods, the higher cut-off frequency is used to minimize transient duration, while during steady-state operation, the lower cut-off frequency is used to maximize signal reconstruction quality.
Solution Approach 2:
The cut-off frequency parameter of the low-pass filter is changed based on the digital microphone's operating mode. The system adjusts the filter parameter dynamically: using a first parameter value (higher frequency) when switching between operating modes to reduce transients, and a second parameter value (lower frequency) during stable operation to improve signal reconstruction.
2Duration of action of moving object
If sampling frequency is increased to reduce transients, then transient duration is reduced, but power consumption increases
Solution Approach 1:
Instead of increasing the sampling frequency to reduce transients (which would increase power consumption), the system changes the cut-off frequency parameter of the existing low-pass filter. This parameter adjustment achieves transient reduction without requiring higher sampling rates, thus avoiding increased power consumption while still minimizing transient duration.
Data Source
AI summary
A digital microphone includes a logarithmic amplifier; an analog-to-digital converter (ADC) coupled to the logarithmic amplifier; a digital decompression component coupled to the ADC; and a digital filter coupled to the digital decompression component, wherein the digital filter includes a controlled upsampling component coupled to an input of the digital filter and a controlled downsampling component coupled to an output of the digital filter.


