1) optimal wavelet denoising
最优小波去噪
1.
At the same time,the emotional recognition ratio increases with the optimal wavelet denoising.
采用最优小波去噪心电信号,进行P波、QRS波、T波检测和能量计算,然后提取特征进行情感分类,并分析了P-QRS-T波能量在不同情感状态下的变化趋势和对情感状态的敏感性。
2) wavelet denoising
小波去噪
1.
Blind channel estimation based on wavelet denoising for OFDM system in low-voltage power line communication;
OFDM低压电力线通信中基于小波去噪的盲信道估计
2.
An improved NAS-RIF algorithm based on wavelet denoising and image segmentation;
基于小波去噪和图像分割技术的改进NAS-RIF盲图像复原算法
3.
Approach of gradual shot-boundary based on multi-feature fusion and wavelet denoising
基于多特征融合和小波去噪的镜头渐变检测方法
3) wavelet de-noise
小波去噪
1.
Through analyse the basic principle of the wavelet de-noise and wavelet transform,new method of auto-recognition of the modulation manner of radar signals based on wavelet transform in the condition of low signal noise ratio is put forward.
深入分析了小波去噪和小波变换法的基本原理,提出一种在低信噪比下基于小波变换法自动判别信号调制类型的新方法。
2.
A novel method for analyzing the water level signals based on wavelet de-noises technique and Empirical Mode Decomposition(EMD) has been developed.
为提高船舶液舱液位测量精度,研究了液位测量信号的特性,提出基于小波去噪和经验模态分解(EMD)的水位信号处理新方法。
3.
A method of fault detection and diagnosis based on wavelet de-noise and principal component analysis is proposed.
提出了一种基于小波去噪和主元分析的故障检测和诊断方法。
4) wavelet de-noising
小波去噪
1.
Application of wavelet de-noising combined with channel estimation for OFDM systems;
小波去噪结合信道估计在OFDM系统中的应用
2.
Application of wavelet de-noising to the radio in heavy railcar;
小波去噪在重型轨道车无线通话中的应用
3.
Research of wavelet de-noising method by double-threshold based on genetic algorithm;
基于遗传算法的双阈值小波去噪方法研究
5) wavelet-based denoising
小波去噪
1.
In order to eliminate the effect of noise, wavelet-based denoising technique was used both on diffusion weighted images and noisy tensor field.
提出一种纤维模型的数学合成方法,并利用合成模型对纤维跟踪方法进行了验证·对Streamline跟踪技术进行改进,采用能量最小化技术对面形或球形张量的跟踪方向进行校正以提高Streamline算法的准确性·为降低图像噪声对纤维跟踪的影响,分别采用小波去噪方法对扩散加权图像和张量场进行处理,并对小波去噪和传统的高斯平滑方法在扩散加权图像噪声抑制方面的作用进行了比较
2.
Different wavelet-based denoising standard were studied and experiments on BP neural Network were made.
对小波包能量法进行改进,提出了一种新的方法———去噪小波包能量法,该算法对信号小波去噪后,再用小波包能量法提取信号的特征;应用去噪小波包能量法研究了不同的小波去噪方法对水声信号分类识别率的影响,在实测信号样本集上用BP神经网络进行了识别实验。
6) wavelet denoise
小波去噪
1.
For improving the measurement precision of the gain coefficient of semiconductor optical amplifier(SOA) and avoiding the influence of the optical spectrum analyzer′s resolution and noise,a Hakki-Paoli(HP) method combined with the wavelet denoise and deconvolution(HP-DD) process was presented.
为了提高半导体光放大器(SOA)增益系数谱测量的准确性,减少光谱仪分辨率和系统噪声对测量结果的影响,提出了由传统的Hakki-Paoli(HP)方法改进得到的基于小波去噪和去卷积过程的Hakki-Paoli(HP-DD)方法,分析了其原理,并给出去卷积的算法和小波去噪的原理。
2.
A novel wavelet denoise method based on mutual information criterion to determine truncation scales of wavelet bases is proposed.
为此,提出基于互信息判据的小波去噪方法,利用小波进行非线性去噪处理,并以互信息作为去噪处理截止的判定条件,给出了小波去噪算法,分析了其优势,并进行了仿真实验。
3.
The wavelet denoise and frequency analysis are the major functions of this analysisor.
该分析仪实现了小波去噪和频谱分析等功能 ,在实验室应用和对于具体信号的处理都有很好的效
补充资料：噪噪切切
1.犹言嘈嘈切切。指弦乐器上大弦和小弦发出的高低不同的声音。
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