Time-Based Signal Encoding for Compressed Digit Representation
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Solution Overview
Problem
Current encoding and decoding technologies face challenges in effectively representing information using time-based codes, where the timing of events within intervals needs to accurately convey discrete digit states, and existing systems struggle to efficiently compress and decompress these signals.
Innovation Solution
The proposed solution involves an encoder/decoder system that converts discrete digit signals into time-based codes, where each digit is represented by an event occurring at a specific time within a time interval, and a compressor that integrates these events to generate a one-dimensional code, while a decoder expands and decodes this code back into discrete digit signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If discrete digit signals are converted into time-based codes where each digit is represented by an event occurring at a specific time within a time interval, then information representation accuracy is improved, but device complexity increases
Solution Approach 1:
The time-based code is divided into multiple time intervals, with each interval corresponding to a specific digit in the discrete signal. This segmentation allows the system to process and represent each digit independently through timed events, improving information representation accuracy while managing system complexity through modular time-based processing.
Solution Approach 2:
The patent transitions from representing information in the amplitude domain (discrete digit levels) to the time domain (event timing within intervals). This dimensional change enables accurate representation of discrete digits through temporal positioning of events, where the time position of an event within its interval encodes the digit value, thereby improving information representation accuracy.
2Quantity of substance
If a compressor integrates time-based code events to generate a one-dimensional code, then data compression is improved, but loss of information risk increases
Solution Approach 1:
The compressor performs preliminary integration of time-based code events to generate a condensed one-dimensional code representation before transmission or storage. This preliminary action reduces data quantity while preserving essential information, as the integration process systematically combines temporal event data into a compact form that retains the original signal's information content.
Solution Approach 2:
The decoder reconstructs the original discrete digit signal by decoding the compressed one-dimensional code, creating an accurate copy of the original information. This copying process ensures information integrity is maintained despite compression, as the decoding algorithm systematically recovers the original signal characteristics from the compressed representation.
3Productivity
If events are timed within intervals to represent digit states, then information encoding efficiency is improved, but difficulty of detecting and measuring increases
Solution Approach 1:
The encoding system uses periodic time intervals to structure the representation of discrete digits. Each digit is encoded within a regular, repeating time interval framework, which improves encoding efficiency by providing a consistent temporal structure. This periodicity also aids detection by creating predictable patterns that can be systematically measured and recognized.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for encoding and decoding information. In one aspect, methods of encoding information in an encoder include the actions of receiving a signal representing information using a collection of discrete digits, converting, by an encoder, the received signal into a time-based code, and outputting the time-based code. The time-based code is divided into time intervals. Each of the time intervals of the time-based code corresponds to a digit in the received signal. Each digit of a first state of the received signal is expressed as a event occurring at a first time within the corresponding time interval of the time-based code. Each digit of a second state of the received signal is expressed as a event occurring at a second time within the corresponding time intervals of the time-based code, the first time is distinguishable from the second time. All of the states of the digits in the received signal are represented by events in the time-based code.