Signal Generation Apparatus Using Frequency Waveform Extraction
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Solution Overview
Problem
Existing signal generation methods, particularly those using inverse Fourier transforms, face increased calculation time due to the number of sample points and frequency waveforms, leading to prolonged signal generation times.
Innovation Solution
A signal generation apparatus and method that extracts high-amplitude parts of frequency waveforms based on preset conditions and converts them into time waveforms, reducing calculation time and minimizing differences between the resulting time waveforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If inverse Fourier transform is used to generate signals from frequency waveforms, then signal generation accuracy is maintained, but calculation time increases significantly
Solution Approach 1:
The patent extracts only the high-amplitude frequency components from the complete frequency waveform that satisfy a preset extraction condition. By taking out and processing only these significant components rather than the entire frequency spectrum, the calculation time is reduced while maintaining signal generation accuracy for the most important frequency components.
Solution Approach 2:
Instead of performing inverse Fourier transform on the complete frequency waveform (excessive action), the patent applies partial action by processing only the subset of frequency components that meet the extraction condition. This partial processing approach reduces computational load while still achieving the necessary signal generation quality.
2Loss of information
If all frequency waveforms are processed to generate time waveforms, then complete signal information is preserved, but processing complexity increases
Solution Approach 1:
The patent extracts and processes only the high-amplitude frequency components that satisfy the preset extraction condition, removing the need to process low-amplitude components that contribute minimally to the overall signal. This extraction approach reduces processing complexity while preserving the most significant signal information.
Solution Approach 2:
The patent applies different processing strategies to different parts of the frequency waveform: high-amplitude components are extracted and processed in detail, while low-amplitude components are effectively excluded. This local quality approach optimizes processing complexity by focusing computational resources on the most important frequency regions.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach significantly shortens calculation time and reduces the difference between the generated time waveforms, achieving efficient signal generation by focusing on high-amplitude frequency components.
Implementation Method 1
The conversion unit is configured to convert the extracted waveform extracted by the extraction unit into a time waveform, which is a waveform represented by a function of time, and generate the time waveform as a signal
Data Source
AI summary
A signal generation apparatus includes an extraction unit and a conversion unit. The extraction unit is configured to extract part of a frequency waveform as an extracted waveform. The frequency waveform is a waveform represented by a function of frequency. The part of the frequency waveform corresponds to frequencies satisfying a preset extraction condition indicating that amplitude of the frequency waveform is high. The conversion unit is configured to convert the extracted waveform extracted by the extraction unit into a time waveform, which is a waveform represented by a function of time, and generate the time waveform as a signal.