Relative Bit-Position Data Structure for Higher Symbol Throughput
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Solution Overview
Problem
Existing data transmission technologies are limited by 'individual symbol scope,' where each symbol can only contain information about its own content, resulting in upper throughput limits and inability to transmit information beyond what is contained in each symbol.
Innovation Solution
The system employs a data structure that arranges data based on relative positions of bits within a bit stream, allowing each symbol to contain information about its own content and every other symbol, thereby increasing effective symbol size and system bandwidth.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data is transmitted using traditional individual symbol scope where each symbol contains only its own content information, then the transmission system is simple and easy to implement, but the throughput is limited and cannot achieve high data transmission rates
Solution Approach 1:
The patent merges information from multiple symbols into a single integrated data structure. Each symbol's information is combined with positional relationship data to create a compressed representation that encodes both content and spatial arrangement, allowing multiple symbols to be transmitted as one unified structure
Solution Approach 2:
The patent implements a nested data structure where bits are organized hierarchically based on their positional relationships. The data structure contains nested levels of bit comparisons and positional information, similar to nested dolls, where each level contains information about relative positions of bits within the symbol sequence
2Quantity of substance
If each symbol contains information about every other symbol through relative position data, then the effective symbol size increases and bandwidth improves, but the data structure becomes more complex requiring additional processing
Solution Approach 1:
The patent adds a dimensional aspect to data representation by incorporating spatial positional information alongside content information. Each bit is characterized not only by its value but also by its position relative to other bits, creating a multi-dimensional data structure that encodes both what the data is and where it is located
Solution Approach 2:
The patent changes the parameters used to represent symbols from simple content values to include positional relationships. By introducing relative position parameters (such as distance and orientation between bits), the system transforms the data representation to include both content and spatial arrangement information
3Loss of substance
If relative position data for each bit is stored to enable compression, then compression ratios improve and storage efficiency increases, but memory requirements and processing overhead increase
Solution Approach 1:
The patent extracts only the essential positional relationship information needed for compression rather than storing complete position data for all bits. By taking out and storing only the relative position parameters (such as offset distances and comparison results), the system achieves compression while minimizing additional memory requirements
Data Source
AI summary
A system includes a non-transitory memory, a processor in operable communication with the memory, a digital-to-analog converter (DAC) and a transmitter. The memory stores bit position information associated with a first data. The bit position information includes absolute position data and relative position data for each bit of a plurality of bits of the first data. The processor can receive a data stream including the first data, and compress the first data to generate a second data representing the first data. The second data has a data structure that is arranged based on: (1) the first data, and (2) the bit position information. The DAC can receive a digital representation of the second data from the processor and convert the digital representation of the second data into an analog representation of the second data. The transmitter can then transmit the analog representation of the second data.