And a simulation result also is shown . so , the four daubechies wavelet base is chosen to decompose images 最后通過仿真結(jié)果數(shù)據(jù)選擇了daubechies4階小波基對(duì)圖象進(jìn)行四級(jí)分解。
In solving differential equations , we must increase supported assemble length since the continuity of daubechies wavelet derivative increases as supported assemble increase , that results in calculation complexly 由于daubechies小波本身導(dǎo)數(shù)的連續(xù)性隨著支集的增加而增大,解高階微分方程時(shí),就必須增加支集的長(zhǎng)度,這會(huì)使計(jì)算復(fù)雜化。
Finally , a factual image compression method based on wavelet transform is offered . the main work is listed as follows : 1 ) in this part , the orthogonal daubechies wavelet bases from 1 to 4 are analyzed 本文所作主要工作具體如下: 1 )按照小波基的選取原則,通過對(duì)性能優(yōu)良的daubechies的1到4階正交小波基的驗(yàn)證,得到了實(shí)際的仿真結(jié)果數(shù)據(jù)。
According to the characteristic of the wavelet analysis , a feasibility study is carried out on the basis of using the wavelet transform to process the actual collected signals with daubechies wavelet , and the ae signals are divided 根據(jù)小波分析的特點(diǎn),本文對(duì)小波變換用于實(shí)際信號(hào)處理進(jìn)行了可行性研究,選擇debauchies小波對(duì)采集的數(shù)據(jù)信號(hào)進(jìn)行小波變換,提取聲發(fā)射信號(hào)。
Based on the broad applications of wavelet theory in failure diagnosis , the daubechies wavelet function is employed in this system . this proposed analysis method is about to replace the traditional method with experienced operators in detecting the quality of final drive 根據(jù)對(duì)這兩部分信號(hào)的分析可以判斷主減速器是否有故障存在,并可進(jìn)一步根據(jù)細(xì)節(jié)分解信號(hào)的周期等特性來推斷可能產(chǎn)生故障的部位。
The response and excitation signals are first decomposedusing the daubechies wavelet scaling function . then the differential vibrationequations of the time - varying system are transformed into simple linear equationsbased on the orthogonality of the scaling functions . the physical parameters can beidentified directly by solving the linear equations 運(yùn)用daubechies小波對(duì)線性時(shí)變系統(tǒng)的激勵(lì)和該激勵(lì)作用下的響應(yīng)做變換,將變換后的響應(yīng)和激勵(lì)代入微分方程,利用daubechies小波尺度函數(shù)的正交性,將微分方程轉(zhuǎn)換成簡(jiǎn)單的代數(shù)方程組,求解方程組,識(shí)別系統(tǒng)的時(shí)變參數(shù)。
Fast algorithms of both discrete and orthonormal wavelet and wavelet packet coefficient are diagrammatized to be introduced . daubechies wavelet is applied to help to discuss the application and test on signal filtering and noise reduction with the principle and threshold implementation ; the basic principle to pickup the fault characteristics is introduced mainly about the relations between the maximum module and signal saltation point and how to characterize the saltation point with lipschitz exponent 展示了離散正交小波變換的mallat快速算法和小波包系數(shù)分解的快速算法;重點(diǎn)應(yīng)用daubeches小波探討了小波變換在信號(hào)濾波去噪中的應(yīng)用和實(shí)驗(yàn),闡述了其基本原理和通過閾值化處理實(shí)現(xiàn)濾波的具體方法;探討了用小波變換進(jìn)行故障特征提取的原理,說明了小波變換模極大值和信號(hào)突變點(diǎn)之間的關(guān)系以及怎樣用李氏指數(shù)來表征突變點(diǎn)的性質(zhì)。