AI Circuit for Adaptive Signal Processing Parameters
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Solution Overview
Problem
Existing electronic devices with auto-set functionality often require manual adjustment of processing parameters by users, as the preset settings do not align with user preferences, leading to inefficiencies in signal processing and representation.
Innovation Solution
An electronic device equipped with a signal input, user interface, and artificial intelligence circuit that automatically adapts processing parameters based on user inputs, using machine-learning techniques to learn and adjust settings to match user requirements, thereby improving the automatic setting of processing parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automatic setting of processing parameters is implemented, then ease of operation is improved, but manufacturing precision deteriorates because preset parameters may deviate from desired parameters
Solution Approach 1:
The system monitors user adjustments to automatic settings and uses this feedback to refine future automatic parameter selections. The artificial intelligence circuit learns from each manual adjustment, creating a closed-loop system where user preferences are continuously incorporated into the automatic setting algorithm, thereby improving precision while maintaining ease of operation.
Solution Approach 2:
The artificial intelligence circuit enables the system to automatically adapt and improve its own parameter settings over time without requiring manual reconfiguration. The system serves itself by learning from user interactions and autonomously optimizing the preset parameters for different signal types and measurement scenarios.
2Manufacturing precision
If manual adjustment of processing parameters is required, then manufacturing precision is improved, but ease of operation deteriorates and time consumption increases
Solution Approach 1:
The artificial intelligence circuit performs the tedious task of parameter optimization automatically, freeing the user from manual adjustment while maintaining high precision. The system learns user preferences and automatically configures optimal parameters, transforming a task that requires user expertise and time into an automated self-service function.
Solution Approach 2:
The patent replaces the mechanical interaction of manual parameter adjustment with an intelligent software-based system. The artificial intelligence circuit substitutes the user's manual tweaking process with automated computational optimization, eliminating the need for users to physically adjust parameters while maintaining or improving precision.
3Ease of operation
If preset processing parameters are used, then ease of operation is improved, but adaptability deteriorates because parameters cannot be customized to user preferences
Solution Approach 1:
The system transitions from static preset parameters to dynamic, adaptive parameters that evolve based on user interactions. The artificial intelligence circuit continuously updates the parameter sets based on learned user preferences, making the system adaptable to individual users while maintaining ease of operation through automatic adjustment.
Solution Approach 2:
User adjustments to preset parameters provide feedback that the artificial intelligence circuit uses to customize future automatic settings. This feedback mechanism enables the system to adapt to individual user preferences and requirements while maintaining the simplicity of automatic operation.
4Adaptability or versatility
If artificial intelligence circuit is added for learning and adaptation, then adaptability and precision are improved, but device complexity increases
Solution Approach 1:
The artificial intelligence circuit serves multiple functions: it learns user preferences, optimizes processing parameters, adapts to different signal types, and improves over time. By consolidating these diverse functions into a single multi-functional component, the patent minimizes the increase in device complexity while maximizing adaptability and precision improvements.
Data Source
AI summary
An electronic device is described. The electronic device includes a signal input, a user interface, a signal processing circuit, and an artificial intelligence circuit. The user interface is configured to detect a first user input, wherein the first user input is associated with an automatic setting of processing parameters of the signal processing circuit. The artificial intelligence circuit is configured to automatically adapt the processing parameters of the signal processing circuit based on the first user input, thereby obtaining a first set of processing parameters. The user interface is configured to detect a second user input, wherein the second user input is associated with an adjustment of the processing parameters of the signal processing circuit. The user interface is configured to adapt the processing parameters of the signal processing circuit based on the second user input, thereby obtaining a second set of processing parameters. The artificial intelligence circuit is configured to adapt the first set of processing parameters based on the first set of processing parameters and the second set of processing parameters, thereby obtaining an adapted set of processing parameters. Further, a method of setting processing parameters of an electronic device is described.