1) speech/non-speech detection
有声/无声检测
1.
This paper proposes a robust speech/non-speech detection method based on the forth order statistics.
语音有声/无声检测是影响语音增强和识别性能的一个关键因素,提出一种鲁棒的基于四阶统计量的语音有声/无声检测技术。
4) ultrasonic nondestructive testing
超声无损检测
1.
It is fast and whole testing that using the technology of ultrasonic nondestructive testing to estimate some performance of powder m.
针对粉末冶金(PM)零件在制备过程中不可避免存在的缺陷(气孔或裂纹),采用超声无损检测(NDT)技术对其进行了初步研究。
2.
To enhance the signal to noise ratio (SNR) of fundamental ultrasonic echo signals for ultrasonic nondestructive testing (UNDT) and ultrasonic nondestructive evaluation (UNDE), an improved technique to suppress structural noises of ultrasonic signals was presented.
为了提高超声无损检测(UNDT)与无损评价(UNDE)基础数据的信噪比(SNR),提出了一种基于神经网络模式识别理论的小波域超声信号消噪技术。
3.
A 5-axis automatic scanning system, the composition of hardware and software platform of it is present in ultrasonic nondestructive testing.
介绍了五轴超声无损检测自动扫描系统的工作原理 ,并详细介绍了其控制系统的硬件配置和软件组成 ,该系统能够控制机械装置带动探头实现对复杂曲面的自动扫
5) Ultrasonic nondestructive testing(UNDT)
超声无损检测
1.
To increase A-scan signals time resolution of thin multilayer composite materials in ultrasonic nondestructive testing(UNDT),a new approach of deconvolution technique based on wavelet multi-resolution analysis was proposed.
为了提高薄层复合材料超声无损检测(UNDT)中A扫描信号时域分辨率,提出一种基于小波变换多分辨率分析的反卷积技术新方法。
2.
A novel adaptive SSP technique based on the pattern recognition theory of support vector machine(SVM) was presented to enhance the signal to noise ratio(SNR) of fundamental ultrasonic echo signals for ultrasonic nondestructive testing(UNDT) a.
为了提高超声无损检测(UNDT)和无损评价(UNDE)中基础数据的信噪比(SNR),提出了一种基于支持向量机(SVM)模式识别理论的自适应裂谱分析方法。
3.
A new wide adaptability deconvolution technique based on wavelet transform and particle swarm optimization(PSO) was developed to increase the resolution of ultrasonic nondestructive testing(UNDT) of composite materials.
为了提高复合材料超声无损检测(UNDT)分辨率,提出一种基于小波变换和粒子群算法(PSO)的广谱反卷积新技术。
6) UNDT
超声无损检测
1.
In order to enhance the signal to noise ratio(SNR) of fundamental ultrasonic echo signal for ultrasonic nondestructive testing(UNDT) and ultrasonic nondestructive evaluation(UNDE),a new denoising technique for ultrasonic signal based on lifting wavelet transform multi-resolution analysis was presented.
为了提高超声无损检测(UNDT)和无损评价(UNDE)中基础数据的信噪比(SNR),提出了一种基于提升小波变换多分辨率分析的超声信号消噪新技术。
2.
of conventional deconvolution techniques were analyzed to increase A-scan signals\' time resolution of composite materials in ultrasonic nondestructive testing(UNDT).
为了提高复合材料超声无损检测中A扫描信号的时域分辨率,在分析传统反卷积技术需要先验知识等局限性的基础上,提出了一种基于提升小波变换和遗传算法的反卷积技术。
3.
In order to enhance the Signal to Noise Ratio(SNR) of fundamental ultrasonic echo signals for Ultrasonic Non-Destructive Testing(UNDT) and Ultrasonic Nondestructive Evaluation(UNDE),wavelet transform multi-resolution ability was used to denoise ultrasonic signals.
为了提高超声无损检测和无损评价中基础数据的信噪比,利用小波变换多分辨率性能实现对超声信号的消噪。
补充资料：有声无实
1.犹言有名无实。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条