Touch Display Noise Reduction via Fitting Function
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Solution Overview
Problem
Existing touch display technologies face challenges in noise reduction, particularly with LCD noise interference, leading to high hardware costs, limited sampling frequency flexibility, and inability to filter non-direct current components, which affects touch detection accuracy.
Innovation Solution
A noise reduction method that involves obtaining noise data from touch detection nodes, extracting characteristic values, performing fitting processing to create a fitting function, and using differences between fitting and noise data to filter out noise, thereby reducing hardware costs and avoiding fixed sampling frequency limitations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If traditional hardware-based noise filtering methods are used, then noise reduction effect is improved, but hardware costs increase
Solution Approach 1:
The patent replaces hardware-based noise filtering mechanisms with a software-based fitting function approach. Instead of using additional physical filters or sensors, the system uses mathematical modeling to represent and remove noise components from touch detection signals, thereby reducing hardware costs while maintaining noise reduction effectiveness.
Solution Approach 2:
The patent creates a mathematical model (fitting function) that copies the characteristics of noise signals. By constructing a function that represents the noise pattern based on historical data, the system can predict and subtract noise components from current signals, achieving noise reduction without additional hardware.
2Stability of the object's composition
If fixed sampling frequency is used, then system stability is improved, but sampling frequency flexibility is limited
Solution Approach 1:
The patent introduces dynamic adaptability into the sampling system by allowing the sampling frequency to be adjusted based on actual noise characteristics and touch detection requirements. The fitting function can be updated in real-time, enabling the system to adapt its sampling rate dynamically rather than being constrained by a fixed frequency, thus improving both flexibility and stability.
3Productivity
If simple filtering is used, then processing speed is improved, but ability to filter non-direct current components is lost
Solution Approach 1:
The patent changes the approach from simple frequency-based filtering to a comprehensive parameter-based fitting method. By modeling noise as a function with multiple parameters (including time-varying components), the system can identify and remove both direct current and non-direct current noise components. This maintains processing efficiency while significantly improving noise filtering capability.
Data Source
AI summary
Embodiments of the present disclosure provide a noise reduction method. The noise reduction method is applied to the touch display apparatus on which several touch detection nodes are disposed, and the noise reduction method includes: obtaining noise data of each touch detection node (101); obtaining characteristic values based on the noise data (102); performing fitting processing on noise data of a target node and the characteristic values, to obtain a fitting function in which the characteristic values are used as an independent variable and the noise data of the target node is used as a dependent variable (103), where a target node is a touch detection node to be noise reduced; substituting the characteristic values into the fitting function, to obtain fitting data corresponding to the characteristic values (104); and using differences between the fitting data and the noise data of the target node as noise reduced data (105).