Adaptive Noise Information Updating for Unknown Signal Noise

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing noise suppression technologies struggle to effectively remove noise, especially when the noise is not significantly smaller than the target signal, leading to poor noise estimate accuracy and increased distortion in enhanced signals, and require storing multiple noise information types to handle various noise types, increasing memory and manufacturing costs.

Innovation Solution

A method that modifies noise information using adaptation based on noise suppression results, allowing for effective noise suppression of various noise types, including unknown noise, without the need for pre-stored noise information.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If multiple pieces of noise information are stored to handle various noise types, then the types of erasable noise increase, but the memory size and manufacturing cost increase

Engineering Contradiction:

Improvetypes of erasable noiseVSAvoidmemory size

Core Design Contradiction:

Adaptability or versatilityVSQuantity of substance

Solution Approach 1:

The system uses the noisy signal itself to generate and update noise information through adaptive processing, eliminating the need for pre-stored noise databases. The modification unit continuously refines noise information based on current signal characteristics, making the system self-sufficient and adaptable to various noise types without requiring extensive memory storage.

Inventive Principle:

Principle #25Self-service

2Reliability

If pre-stored noise information is used to suppress noise, then noise suppression effect improves, but unknown noise different from stored information cannot be suppressed

Engineering Contradiction:

Improvenoise suppression effectVSAvoidcapability to suppress unknown noise

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

The noise information is made dynamic through continuous adaptation based on the noisy signal characteristics. The modification unit updates noise information in real-time, allowing the system to adapt to different noise types including unknown noise, rather than relying on static pre-stored noise profiles.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system implements feedback by using the noisy signal to continuously refine and update noise information. The modification unit processes the noisy signal and feeds back updated noise information, creating a closed-loop system that improves noise suppression reliability while maintaining adaptability to various noise types.

Inventive Principle:

Principle #23Feedback

3Device complexity

If noise is estimated only from the noisy signal, then the system is simple, but noise estimate accuracy is poor when noise is not much smaller than the target signal

Engineering Contradiction:

Improvesystem simplicityVSAvoidnoise estimate accuracy

Core Design Contradiction:

Device complexityVSMeasurement precision

Solution Approach 1:

The modification unit acts as an intermediary that processes the noisy signal to generate refined noise information. This intermediate processing step improves noise estimate accuracy by extracting noise characteristics from the noisy signal itself, maintaining system simplicity while achieving better measurement precision through intelligent signal processing.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS8736359B2Signal processing method, information processing apparatus, and storage medium for storing a signal processing program

Publication Date: 2014.05.27 NEC CORP

AI summary

This invention provides a signal processing technique of suppressing various kinds of noise including unknown noise without storing a number of pieces of noise information in advance. To accomplish this, noise information is modified using modification information to obtain modified noise information. The noise in the noisy signal is suppressed using the modified noise information. The modification information is adapted and updated for the result of the step of suppressing.