Time-Based Signal Encoding With Amplitude Weighting for Accurate Decoding
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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 digits, and existing methods struggle to efficiently compress and transmit such information while maintaining data integrity.
Innovation Solution
The implementation of a system comprising a time encoder that converts information into time-based code signals with timed events, and a compressing encoder that weights amplitudes based on timing, followed by a decoder that reconstructs the original information from amplitude-weighted time-based codes, allowing for efficient compression and transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If information is encoded using time-based codes with timed events within intervals, then information representation precision is improved, but device complexity increases
Solution Approach 1:
The time-based code is segmented into discrete time intervals, with each interval representing a specific digit. Events are timed to occur at specific positions within these intervals, allowing precise representation of information through temporal segmentation rather than complex spatial or amplitude variations.
Solution Approach 2:
The patent replaces traditional mechanical or amplitude-based encoding mechanisms with a time-based event system. Instead of using varying amplitudes or complex mechanical states, the system uses the timing of simple events within standardized intervals to encode information, simplifying the underlying mechanism while maintaining precision.
2Productivity
If data is compressed and transmitted using amplitude-weighted time-based codes, then productivity is improved, but measurement precision deteriorates
Solution Approach 1:
The system changes the parameter used for encoding from amplitude or frequency to time. By weighting amplitudes based on event timing within intervals and encoding information in the temporal domain, the system achieves efficient compression while maintaining the precision needed for accurate data reconstruction during decoding.
Solution Approach 2:
The time interval structure serves as an intermediary framework that allows compression of data into efficient time-based codes while preserving the necessary information for accurate decoding. The weighted amplitudes and timed events within standardized intervals act as mediators between the original data and the compressed representation.
3Device complexity
If pulse-position modulation is used to encode message bits, then device complexity is reduced, but information capacity is limited
Solution Approach 1:
The patent extends traditional pulse-position modulation by incorporating amplitude weighting as an additional dimension. While pulse position encodes primary information, the amplitude of each pulse is weighted based on timing relationships, adding another layer of information encoding without significantly increasing device complexity.
Solution Approach 2:
The system merges pulse-position modulation with amplitude modulation principles. By combining the simplicity of position-based encoding with amplitude weighting derived from timing relationships, the system achieves enhanced information capacity while maintaining the relative simplicity of the encoding mechanism.
Data Source
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AI summary
Method and system for weighting the amplitude of an event in a 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. The weighting is performed as a function of the timing of other events in the time-based code signal.