FFT Device Selecting Specific Frequency Components

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Solution Overview

Problem

Conventional fast Fourier transform devices analyze all frequency components of an input signal, which is inefficient when only a few specific components are required, as they waste resources processing unnecessary data in applications like body composition analysis.

Innovation Solution

A fast Fourier transform device that includes an address generator, an FFT coefficient table, and an operator to efficiently calculate specific frequency components by generating addresses based on a first frequency index, using a reduced number of addresses and coefficients, and selecting coefficients based on bit information to focus on desired frequency components.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If a conventional hardware structure for performing butterfly operation is used, then all frequency components of the input signal are analyzed, but this is inefficient when only some frequency components are required

Engineering Contradiction:
Improveanalysis efficiencyVSAvoidprocessing resource waste
Core Design Contradiction:
ProductivityVSLoss of energy

Solution Approach 1:

The patent extracts only the specific frequency components needed for the application from the complete set of frequency components. The FFT coefficient table stores only the coefficients corresponding to required frequency indices, and the address generator produces addresses that access only these specific coefficients, thereby eliminating processing of unnecessary frequency components.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

Instead of performing the complete FFT operation that analyzes all frequency components, the patent implements partial action by configuring the FFT coefficient table to contain only the coefficients for the specific frequency components required by the application, thus performing only the necessary portion of the frequency analysis.

Inventive Principle:
Principle #16Partial or excessive action

2Reliability

If all frequency components are analyzed, then complete frequency information is obtained, but hardware resources are wasted processing unnecessary data

Engineering Contradiction:
Improvefrequency analysis completenessVSAvoidhardware resource usage
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent extracts only the specific frequency components needed for the application from the complete set of frequency components. The FFT coefficient table stores only the coefficients corresponding to required frequency indices, and the address generator produces addresses that access only these specific coefficients, thereby eliminating processing of unnecessary frequency components.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent changes the parameter of the FFT operation by configuring the FFT coefficient table with a specific number of points that corresponds only to the required frequency components. This parameter change allows the system to perform a truncated or selective FFT that processes only the necessary frequency range, reducing hardware resource requirements while maintaining reliability for the specific application needs.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS11481470B2Fast Fourier transform device for analyzing specific frequency components of input signal
Publication Date: 2022.10.25 ELECTRONICS & TELECOMM RES INST
  • US11481470B2 patent drawing
  • US11481470B2 patent drawing
  • US11481470B2 patent drawing

AI summary

Provided is a fast Fourier transform device for analyzing specific frequency components of an input signal. The fast Fourier transform device includes an address generator that generates an address, based on a first frequency index corresponding to a first frequency, an FFT coefficient table that outputs a first Fourier transform coefficient corresponding to the generated address among Fourier transform coefficients of the first frequency index, and an operator that calculates a frequency characteristic of an input signal associated with the first frequency, based on the input signal and the first Fourier transform coefficient.