Adaptive Filter IC Coefficient Calculation to Cut Data Traffic
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Solution Overview
Problem
The existing filtering integrated circuits require a large amount of data to change filter coefficients, leading to increased memory requirements and communication traffic, which affects processing performance.
Innovation Solution
A filtering integrated circuit with a coefficient calculating unit that receives frequency information to set filter coefficients, reducing the data amount needed to change filter characteristics, and a filtering unit that applies the filtering process based on these coefficients.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If filter coefficients are transmitted from microcomputer to signal processing circuit, then filter characteristic can be changed, but communication traffic increases and processing performance is influenced
Solution Approach 1:
The patent extracts the filter coefficient calculation function from the microcomputer and relocates it to the signal processing circuit. The coefficient calculating unit within the signal processing circuit autonomously calculates filter coefficients based on frequency information, eliminating the need for microcomputer intervention and reducing communication traffic while maintaining filter adaptability.
Solution Approach 2:
The signal processing circuit performs self-service by internally calculating its own filter coefficients through the coefficient calculating unit. This self-contained approach allows the circuit to adapt filter characteristics without external assistance, reducing dependency on the microcomputer and minimizing system communication overhead.
2Adaptability or versatility
If filter coefficients are stored in memory, then filter characteristic can be changed, but memory capacity needs to be increased
Solution Approach 1:
The patent extracts the filter coefficient data from external memory storage and generates it dynamically through the coefficient calculating unit. By calculating coefficients on-demand from frequency information rather than storing pre-computed values, the system eliminates the need for large memory capacity while maintaining full filter adaptability.
Solution Approach 2:
The system changes the representation parameters from storing complete filter coefficient values to storing compact frequency information parameters. This parameter transformation reduces data storage requirements significantly, as frequency information requires far less memory than full precision filter coefficients.
3Measurement precision
If precision of filter coefficients is increased, then filter characteristic accuracy is improved, but storage capacity and communication data amount increase
Solution Approach 1:
The patent transforms the parameter representation from high-precision filter coefficients to compact frequency information parameters. This parameter change maintains filter characteristic accuracy while significantly reducing data amount, as frequency parameters require fewer bits to represent the same filtering behavior.
Solution Approach 2:
The system performs preliminary calculation of filter coefficients internally within the signal processing circuit before they are needed for filtering operations. This preliminary action allows high-precision coefficients to be generated on-demand without requiring high-precision data to be stored or transmitted from external sources.
Data Source
AI summary
A filtering integrated circuit comprises: a storing circuit; a filter coefficient calculating unit configured to receive frequency information that identifies a characteristic frequency of an output signal in a filtering process, and to set filter coefficients calculated based on the frequency information in the storing circuit; and a filtering unit configured to output the output signal after applying a filtering process to an inputted signal based on the filter coefficients set in the storing circuit.