Phase-Shift Encoding to Minimize Signal Transitions
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Solution Overview
Problem
Existing communication systems face challenges in reducing power consumption and improving efficiency in communication systems, particularly in encoding and decoding data in communication systems, particularly in phase-shifting encoding and phase-shifting encoding for signal transition minimization.
Innovation Solution
A method that reduces power consumption in data transmission by utilizing phase shifts during voltage transitions between voltage states, and encoding and decoding data in communication systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If conventional transition minimization schemes are used to reduce signal transitions, then power consumption is reduced, but transmission bandwidth requirements increase due to shortened minimum waveform pulse width
Solution Approach 1:
The patent changes the encoding parameters by using phase shift states (0°, 60°, 120°, 180°) instead of conventional binary transitions. This parameter change allows the system to reduce signal transitions for power savings while maintaining adequate pulse widths through the use of multiple phase states to represent data bits, thereby avoiding the bandwidth penalty of conventional transition minimization schemes
Solution Approach 2:
The patent introduces a new dimension to the signaling scheme by using phase angle as an additional encoding dimension beyond simple voltage transitions. By encoding data in the phase domain (using four distinct phase states), the system achieves transition minimization without compromising time-domain pulse width requirements, thus resolving the bandwidth contradiction
2Productivity
If phase modulation is used to increase information rate, then more bits can be transmitted, but energy consumption of modulated waveforms increases
Solution Approach 1:
The patent employs periodic phase transitions synchronized with the clock signal, where phase changes occur only at designated transition points rather than continuously. This periodic action allows multiple bits to be encoded in phase states while limiting the frequency and number of actual transitions, thereby achieving high information rate without proportional energy consumption increases
Data Source
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AI summary
A method of encoding a stream of data bits includes encoding a bit 1 of the data stream as a first symbol if a bit immediately preceding the bit 1 is encoded as 0 and a bit of the data stream immediately succeeding the bit 1 is 0, encoding the bit immediately succeeding the bit 1 as 1, encoding a bit 0 of the data stream as a second symbol if a bit immediately preceding the bit 0 is encoded as 1 and a bit of the data stream immediately succeeding the bit 0 is 1, and encoding the bit immediately succeeding the bit 0 as 0.