Peripheral Device Identity-Based Data Signal Processing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Modern communication systems face challenges in optimizing data handling across varying conditions, leading to suboptimal signal quality due to dependency on CPU capacity and available bandwidth, particularly when high CPU-consuming input devices require high data rates.
Innovation Solution
A method and apparatus that determine the identity of peripheral devices and select processing parameters based on this identity to optimize data transmission, allowing for tailored encoding and processing of data signals, including video and audio, to improve signal quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data encoding rate is dependent on available CPU capacity, then system adaptability is improved, but data transmission quality deteriorates when high CPU-consuming input devices require high data rates
Solution Approach 1:
The system performs preliminary identification of the peripheral device type before data encoding. By determining the device identity in advance and selecting appropriate encoding parameters beforehand, the system ensures high data rates are allocated to devices that require them, rather than being constrained by real-time CPU capacity measurements.
Solution Approach 2:
Different encoding parameters are applied to different peripheral devices based on their specific requirements. The system stores multiple sets of encoding parameters in memory and selects the appropriate set based on device identification, allowing each device type to receive optimized processing rather than uniform treatment.
2Productivity
If data handling is optimized for given conditions, then system efficiency is improved, but overall signal quality may deteriorate due to suboptimal processing for specific device types
Solution Approach 1:
The system incorporates feedback mechanisms where the identified device type information is used to adjust encoding parameters. This feedback loop ensures that the processing parameters are continuously optimized based on the actual device requirements, maintaining both efficiency and quality.
Solution Approach 2:
The system changes encoding parameters dynamically based on the identified peripheral device type. By storing multiple parameter sets and selecting appropriate ones, the system adapts its processing characteristics to match the specific requirements of different devices, improving overall signal quality while maintaining efficiency.
Data Source
AI summary
A method of transmitting data from a first terminal to a second terminal in a communication network comprising: receiving at the first terminal an data signal determining an identity of the peripheral device; supplying to a data store the identity of the peripheral device; selecting from the data store at least one parameter for processing the data signal based on the identity of the peripheral device; transmitting the data signal from the first terminal to the second terminal; and processing the data signal, wherein the data signal is processed based on the selected parameter.


