lower frequency wavelet 中文意思是什麼
lower frequency wavelet
解釋
低頻子波-
Moreover, the higher harmonic order is, the lower distinguishability, and, as a result, the assessment accuracy becomes bad. considered its prominent localization both in time - domain and in frequency - domain, wavelet is used to the field of assessing harmonic impedance for the first time. we choose chaari wavelet because of its special band frequency characteristic, which can stratify signals synchronously and locate the distortion time precisely in assessing harmonic impedance
選取chaari小波為母小波，利用其特殊的帶通特性，對在公共連接點（ pcc ）采樣得到的電壓，電流畸變波形進行同步分層， 「突出」信號的畸變部分，提高了被分析信號的「信噪比」 ，以利於諧波阻抗估計準確度的提高。 -
Aiming at the lower performance and floor effect of the traditional orthogonal frequency division multiplexing channel estimation, the ofdm channel estimation algorithm based on wavelet recursive least square support vector machine ( wrls - svm ) is proposed
摘要針對傳統多徑衰落下的ofdm導頻通道估計性能低下，地板效應的缺陷，提出了基於導頻的小波遞歸最小二乘支持向量機（ wrls - svm ）時變通道頻率估計演算法。 -
It has a higher frequency distinguished - degree and a lower time - distinguished degree in low frequency part. as high frequency part, it is the other way around. so wavelet is adapt to probing the instantaneous abnormal phenomena of signal exactly and to show its components
小波分析是一種時頻分析方法，它在低頻部分具有較高的頻率解析度和較低的時間解析度，在高頻部分具有較低的頻率解析度和較高的時間解析度，很適合探測信號中的瞬態反常現象並展示其成分。 -
Vibration signal of cable - stayed bridge often have non - stationary and timely character. traditional fourier transform is a kind of whole transformation and short - time fourier transform have the limitation that if short - time window is ascertained, its shape is also certain. but wavelet analysis method have higher and lower time solution at low frequency, have lower frequency solution and higher time solution
斜拉橋的振動信號常呈現非平穩時變特點，傳統的傅里葉分析是一種全局的變換，短時傅里葉變換也存在著當短時窗函數確定后，窗口的形狀就確定了的缺陷，不適于處理斜拉橋動測信號。 -
Image compression plays an important role in transmission and storage of multimedia. wavelet has been widely adopted in image compression due to its multiresolution, time / frequency localization, lower time complexity, etc. with the advance of image compression techniques based on wavelet, a variety wavelet coefficient models are presented, such as ezw, spiht and ebcot used in jpeg2000
圖像壓縮在多媒體存儲和傳輸中扮演十分重要的角色，小波變換因具有時域頻域局部性、多分辨等性質在圖像壓縮中正在逐步取代dct變換，並已得到廣泛的應用。 -
The influence such as the arranging of measurement sensors, wavelet ’ s resolution ( related to sampling frequency ) is also discussed. conclusions are : ( 1 ) there is critical resolution existing in moving force identification. when the resolution is lower, large local error arises, and when higher, good results will be present
本文還研究了小波解析度（與信號采樣頻率關聯） 、測點排布等因素對識別結果的影響，得出如下結論: daubechies （ 1 ）在車橋系統的移動載荷和預應力識別過程中存在臨界解析度，低於此解析度會導致產生局部較大誤差，高於它時識別效果良好，且隨著解析度的增大會有微小改善。
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