In-Memory Time-Dependent Data Tracker for High-Speed Signal Processing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional trackers are limited in handling multiple inputs and outputs, and they operate at slow speeds, which restricts their applications, especially in high-speed data processing and complex signal tracking scenarios.
Innovation Solution
An electronic device with processors and memory that updates a logical table with new input vectors over time, calculates a transposed kernel matrix, and determines predicted output values using this matrix and mean vectors, enabling faster and more efficient tracking of time-dependent signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional trackers are used to handle multiple inputs and outputs, then the tracker can process multiple signals, but the processing speed is limited
Solution Approach 1:
The patent segments the tracking process into distinct functional modules: a logical table for storing historical input vectors, a kernel matrix calculation unit for computing similarity measures, and a prediction unit for generating outputs. This segmentation allows each module to process specific tasks independently, improving overall processing speed while maintaining the ability to handle multiple inputs and outputs through the structured organization of data and computations.
Solution Approach 2:
The patent performs preliminary actions by pre-storing historical input vectors in a logical table and pre-calculating kernel matrices based on historical data. This allows the system to quickly process new inputs without recalculating everything from scratch, thereby increasing processing speed while maintaining comprehensive handling of multiple input signals through the accumulated historical data.
2Adaptability or versatility
If conventional trackers process signals at high speed, then real-time processing is achieved, but the ability to handle multiple inputs and outputs is limited
Solution Approach 1:
The patent implements a universal tracking system where a single logical table structure can store multiple types of input vectors, and a unified kernel matrix calculation mechanism can process various input combinations. This multi-functional design enables the tracker to handle multiple inputs and outputs simultaneously while maintaining high processing speed through efficient data structures and algorithms that work across different signal types.
Solution Approach 2:
The patent introduces a dimensional transformation by converting input vectors into a logical table format with temporal dimensions, and by calculating kernel matrices that capture relationships across multiple dimensions. This dimensional approach allows the system to process multiple inputs and outputs in parallel while maintaining computational efficiency, resolving the contradiction between versatility and processing speed.
Data Source
AI summary
An electronic device includes one or more processors and memory storing a first logical table for a first time. The first logical table includes a plurality of logical columns, each logical column including an input vector of a plurality of input parameters corresponding to a respective time, and a plurality of logical rows intersecting with the plurality of logical columns, each logical row corresponding to a respective input parameter. The device updates a respective logical column with a first input vector that corresponds to a second time subsequent to the first time, thereby obtaining a second logical table; obtains a first transposed kernel matrix between the second logical table for the second time and the first input vector; determines a first predicted output value for the second time; and outputs the first predicted output value.