FUNDAMENTAL RESEARCH ON SOFT DSP AND ITS APPLICATION TO BIOINFORMATION PROCESSING---FUSION OF SOFT COMPUTING AND DIGITAL SIGNAL PROCESSING---

软DSP基础研究及其在生物信息处理中的应用---软计算与数字信号处理的融合---

• 批准号: 09650426
• 负责人: ARAKAWA Kaoru
• 金额: $ 2.11万
• 依托单位: MEIJI UNIVERSITY
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 1997
• 资助国家: 日本
• 起止时间: 1997 至 1998
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-09650426/
• 关键词: digital signal processing; biomedical signal processing; nonlinear signal processing; soft computing; fuzzy logic; lung sound; bio-information processing; ファジイ論理; ルールベースシステム

In order to extract abnormal sounds, crackles, from lung sounds, a new digital signal processing methodology using soft computing is developed. First, the amplitude distribution and frequency characteristics of lung sounds are analyzed. On the basis of the fact that the abnormal sounds are characterized as nonstationary abrupt signals, a new filter structure which is composed of a prediction filter and a decision system based on fuzzy approximate reasoning is proposed. The part of the fuzzy approximate reasoning is realized as a simple nonlinear function. This filter can extract nonstationary abrupt signals by performing fuzzy judgment for the amplitude of the prediction error. However, since this filter cannot extract crackles precisely enough by itself, signal separation based on the signal amplitude and conditional averaging around the position of nonstationary abrupt signals are added to this filter. The obtained filter system is applied to about ten samples of actual lung sound data, and the high performance of this filter system is verified for both the signal waveform and the sound. Moreover, a new DSP (Digital Signal Processor) structure is proposed which is effective to implement this filter system. This crackle extracting system is realized as a combination of a linear weighted-sum and a simple nonlinear function. The conventional DSP, the structure of which is suitable for linear processing, is not effective for the proposed system. Therefore, a new type of nonlinear DSP which is the combination of the conventional linear DSP and a nonlinear function is proposed and the crackle extracting system is shown to be effectively realized by this DSP structure.

为了从肺音中提取出异常音--爆裂音，提出了一种新的基于软计算的数字信号处理方法。首先，分析了肺音的幅度分布和频率特性。根据异常声音信号是非平稳突变信号的特点，提出了一种由预测滤波器和基于模糊近似推理的决策系统组成的滤波器结构。模糊近似推理部分用一个简单的非线性函数来实现。该滤波器通过对预测误差幅值的模糊判断，提取非平稳突变信号。然而，由于该滤波器本身不能足够精确地提取裂纹，因此基于信号幅度的信号分离和围绕非平稳突变信号的位置的条件平均被添加到该滤波器。所得到的滤波系统被应用到大约十个实际肺音数据的样本，并且对于信号波形和声音，该滤波系统的高性能被验证。此外，提出了一种新的DSP（数字信号处理器）结构，这是有效的实现该滤波器系统。该裂纹提取系统由线性加权和和简单的非线性函数组合而成。传统的DSP，其结构是适合线性处理，是不有效的建议系统。因此，本文提出了一种将传统的线性DSP与非线性函数相结合的新型非线性DSP结构，并证明了这种DSP结构可以有效地实现裂纹提取系统。

项目成果

Kaoru Arakawa: "Fuzzy Rule-Based Image Processing" Int. Journal of Imaging System & Technology. Vol.8. 457-461 (1997)

荒川薰：“基于模糊规则的图像处理”Int。

Kaoru Arakawa: ""A New-Type of Fuzzy Rule-Based Systems and Its Application to Edge Detection in Images"" Proceedings KES'98. vol.1. 180-186 (1998)

Kaoru Arakawa：“一种新型的基于模糊规则的系统及其在图像边缘检测中的应用”，会议记录 KES98。

渡部宏明: "ε-フィルタのハードウェア化とその応用-非線形ディジタルシグナルプロセッサの提案" 第13回ディジタル信号処理シンポジウム講演論文集. 147-152 (1998)

Hiroaki Watanabe：“ε-滤波器的硬件实现及其应用——非线性数字信号处理器的提议”第13届数字信号处理研讨会论文集147-152（1998）。

Kaoru Arakawa: "A New-Type of Fuzzy Rule-Based Systems and Its Application to Edge Detection in Images" Proceedings KES'98. 1. 180-186 (1998)

Kaoru Arakawa：“一种新型的基于模糊规则的系统及其在图像边缘检测中的应用”会议记录 KES98。

Kaoru Arakawa: ""Signal Processing and Nonlinearity"" Journal of IEICE. (1997)

Kaoru Arakawa：“信号处理和非线性”IEICE 杂志。