In course of signal reconstruction with best basis of wavelet packets, the signal has some loss.
采用最優(yōu)小波包基進(jìn)行信號(hào)重構(gòu)的過(guò)程中, 信號(hào)有一定的損失.
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This paper is to discuss the wavelet transform during processing.
目的:探討在醫(yī)學(xué)影像技術(shù)中小波變換的應(yīng)用.
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Wavelet transform is a very useful tool of signal processing.
小波變換是用于信號(hào)多尺度表示的非常有用的工具.
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The principles and advantages of instantaneous frequency in wavelet domain are briefly discussed.
小波變換域瞬時(shí)頻率分析方法是地震資料分析的重要工具.
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Two characteristic features of the wavelet analysis was applied in the CO _ 2 welding voltage control.
作者針對(duì)小波分析的特點(diǎn),將其兩個(gè)重要特性應(yīng)用于電弧焊控制中.
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A method using wavelet approximation is used to remove the baseline wanders in electrocardiogram.
基線漂移采用了小波變換逼近信號(hào)進(jìn)行濾除.
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Based on wavelet multiresolution analysis theory, this paper proposes a novel method for data systems identification.
基于小波多分辨分析理論并結(jié)合面向控制的辨識(shí)思想, 提出一種多率采樣系統(tǒng)分頻段加權(quán)辨識(shí)方法.
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First , the lifting quincunx wavelet transform is used to perform a multiscale decomposition of each image.
在提升五株形小波多尺度分解的基礎(chǔ)上, 給出一種新的像素級(jí)圖像融合方法.
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Using the wavelet analysis method, the roundness is extracted from measurement signal after errors separation process.
研究了采用小波變換原理對(duì)傳感器組采集信號(hào)局部特征進(jìn)行分析和提取的方法.
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A method for harmonic detectingpower system based on wavelet transform is proposed.
小波變換是一種變分辨率的時(shí)頻聯(lián)合分析方法,可以對(duì)時(shí)域和頻域信號(hào)進(jìn)行精確地分析.
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The wavelet network not only can compress data effectively but also can recover original signal.
實(shí)驗(yàn)結(jié)果顯示,小波網(wǎng)絡(luò)在大量壓縮數(shù)據(jù)的同時(shí),能夠較好的恢復(fù)原有信號(hào).
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The results indicate that the wavelet analysis to some extent has advantages on climate prediction.
結(jié)果表明,小波分析在氣候預(yù)測(cè)中具有一定的優(yōu)越性.
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After the inverse wavelet transform, temporal filter was applied video to enhance the denoising effect further.
小波逆變換后, 利用時(shí)間域?yàn)V波方法進(jìn)一步提高降噪效果.
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At the end, primary research the reproducing kernel applying in wavelet transform filter.
最后, 文中探討了重建核方程在小波濾波中的應(yīng)用.
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A design algorithm a of parallel wavelet fitter is given and proved.
提出和論述了并行小波濾波器的基本設(shè)計(jì)方案.
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To conclude, have is given an example of analysing EEG signal using wavelet transform.
文中最后給出了小波分析檢測(cè)腦電癲癇波的實(shí)例.
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This paper discusses the relation between Fourier series and wavelet transform.
就傅氏級(jí)數(shù)和小波變換之間的關(guān)系進(jìn)行較全面地討論.
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The prospect about the application of triangle field with wavelet are proposed.
同時(shí)展望小波技術(shù)在三角域的應(yīng)用.
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Wavelet package is introduced in this paper to adjust for design accelerogram in different scales.
提出了一種基于小波包對(duì)地震動(dòng)在不同尺度上進(jìn)行調(diào)整的方法.
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