本文關(guān)鍵詞：基于帶通濾波技術(shù)的數(shù)據(jù)分解方法與工程應(yīng)用　出處：《浙江海洋學(xué)院》2015年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 傅立葉變換 HHT 帶通濾波平滑 最大特征頻帶

【摘要】：隨著海洋工程發(fā)展規(guī)模的迅速擴(kuò)大,人們可以獲取的各類海洋信息也日益增多,基于有限的海洋數(shù)據(jù)信息,準(zhǔn)確預(yù)測(cè)海洋環(huán)境和海洋災(zāi)害成為海上工程建設(shè)的迫切需要。人們對(duì)海上結(jié)構(gòu)安全性的重視程度日漸提高,也必然會(huì)對(duì)海洋信息的分析處理工作提出更高的要求。將不再滿足模糊的定性分析,更希望獲取準(zhǔn)確的定量分析結(jié)果,數(shù)據(jù)處理速度上也由低效率的人工處理方式步入高效的自動(dòng)或智能化處理。因此更加有效地處理、分析資料,消除各種測(cè)量誤差和系統(tǒng)誤差,進(jìn)一步提高其使用價(jià)值,充分利用和發(fā)揮現(xiàn)有數(shù)據(jù)的使用價(jià)值,成為當(dāng)下的重點(diǎn)研究?jī)?nèi)容。本文較為全面的介紹了當(dāng)今幾種常用的信號(hào)分析方法,客觀的評(píng)價(jià)了這幾種信號(hào)(數(shù)據(jù))分析方法的優(yōu)點(diǎn)和缺點(diǎn),針對(duì)非平穩(wěn)信號(hào)的特性,提出了2種新的信號(hào)(數(shù)據(jù))分析方法:基于FFT和帶通濾波技術(shù)的經(jīng)驗(yàn)?zāi)B(tài)分解法(FB-EMD)和FFT帶通濾波平滑方法。FB-EMD法主要沿用Huang-HHT經(jīng)驗(yàn)?zāi)B(tài)分解和固有模態(tài)函數(shù)的提法,從信號(hào)分解思想來(lái)看,本文方法可以看作是HHT經(jīng)驗(yàn)?zāi)B(tài)分解的改進(jìn)型。FB-EMD法采用新的分解方法和分解準(zhǔn)則,可以將平穩(wěn)隨機(jī)過(guò)程和非平穩(wěn)隨機(jī)過(guò)程分解成一系列兩兩正交的固有模態(tài)函數(shù)。經(jīng)實(shí)驗(yàn)室數(shù)據(jù)驗(yàn)證,FB-EMD法可以較好地完成各種信號(hào)的分解。本文還對(duì)HHT和FB-EMD作定性比較,在分解簡(jiǎn)單Stokes 2階波時(shí),本文得到的FB-EMD法要明顯的優(yōu)于HHT的經(jīng)驗(yàn)?zāi)B(tài)分解方法,本方法可以快速、準(zhǔn)確地對(duì)信號(hào)進(jìn)行有效的分析,并且分解結(jié)果完全符合信號(hào)的原始特征。秉承了HHT方法具有瞬時(shí)頻率分析的特性,本文FB-EMD分解法也可以用于信號(hào)的瞬時(shí)頻率分析,從理論上看,凡是HHT信號(hào)分析方法能解決的問(wèn)題,FB-EMD方法都能夠進(jìn)行替代。后一種方法主要用于對(duì)波浪信號(hào)的平滑處理上,FFT平滑方法克服現(xiàn)有海浪平滑方法存在的問(wèn)題,能對(duì)數(shù)據(jù)進(jìn)行較好的平滑。與常用平滑方法相比,FFT平滑方法理論依據(jù)充分,工程上簡(jiǎn)單易用,平滑效果較好,非常適合于計(jì)算機(jī)自動(dòng)化處理。這兩種信號(hào)分析方法擴(kuò)展了現(xiàn)有信號(hào)分析方法的應(yīng)用范疇。可以期望,這兩種信號(hào)分析方法會(huì)有更廣闊的應(yīng)用前景。
[Abstract]:With the rapid expansion of marine engineering scale, people can obtain more and more kinds of marine information, based on limited ocean data information. Accurate prediction of marine environment and marine disasters has become an urgent need for marine engineering construction. People pay more and more attention to the safety of marine structures. It is also bound to put forward higher requirements for the analysis and processing of marine information. It will no longer meet the needs of fuzzy qualitative analysis and more hope to obtain accurate quantitative analysis results. Data processing speed is also from inefficient manual processing to efficient automatic or intelligent processing, so more effective processing, analysis of data, eliminate all kinds of measurement errors and system errors. Further improve its use value, fully use and play the use of existing data value, become the focus of the current research. This paper more comprehensive introduction of the current several commonly used signal analysis methods. The advantages and disadvantages of these signal (data) analysis methods are evaluated objectively, aiming at the characteristics of non-stationary signals. Two new signal (data) analysis methods are proposed: empirical mode decomposition method based on FFT and bandpass filtering technique and FB-EMD). And FFT bandpass filter smoothing method. FB-EMD method mainly uses the Huang-HHT empirical mode decomposition and inherent mode function. From the viewpoint of signal decomposition, the method in this paper can be regarded as the improved. FB-EMD method of HHT empirical mode decomposition using new decomposition method and decomposition criterion. The stationary stochastic process and the non-stationary stochastic process can be decomposed into a series of natural mode functions of pairwise orthogonality, which are verified by laboratory data. The FB-EMD method can be used to decompose all kinds of signals. The qualitative comparison between HHT and FB-EMD is made in this paper, when the simple Stokes 2 wave is decomposed. The FB-EMD method obtained in this paper is obviously superior to the empirical mode decomposition method of HHT. This method can be used to analyze the signal quickly and accurately. And the decomposition results completely accord with the original characteristics of the signal. According to the HHT method has the characteristics of instantaneous frequency analysis, this FB-EMD decomposition method can also be used in the instantaneous frequency analysis of signals, theoretically. The FB-EMD method can be replaced by HHT signal analysis method, which is mainly used to smooth wave signal processing. FFT smoothing method overcomes the problems existing in the existing wave smoothing methods and can smooth the data better. Compared with the usual smoothing methods, the FFT smoothing method has sufficient theoretical basis and is simple and easy to use in engineering. The smoothing effect is good, which is very suitable for computer automation. These two signal analysis methods extend the scope of application of existing signal analysis methods and can be expected. These two signal analysis methods will have a wider application prospect.
【學(xué)位授予單位】：浙江海洋學(xué)院
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TN713

【相似文獻(xiàn)】

相關(guān)期刊論文 前10條

1 楊雪郁,朱力力;一種高Q可調(diào)參數(shù)帶通濾波電路[J];電子技術(shù)應(yīng)用;1986年10期

2 徐賽秋,楊新堯;雙二次型帶通濾波電路的應(yīng)用[J];實(shí)驗(yàn)室研究與探索;1992年04期

3 左全生;;帶通濾波電路的相頻特性研究[J];常州工學(xué)院學(xué)報(bào);2010年01期

4 林杞楠,王安國(guó),吳志榮,張鵬;具有抑制諧波性能的微帶帶通濾波新電路[J];電子學(xué)報(bào);2001年06期

5 荊曉遠(yuǎn),金忠,楊靜宇;基于帶通濾波和遺傳算法的人臉圖象預(yù)處理及識(shí)別[J];中國(guó)圖象圖形學(xué)報(bào);1998年10期

6 胡謀法;董文娟;王書(shū)宏;陳曾平;;奇異值分解帶通濾波背景抑制和去噪[J];電子學(xué)報(bào);2008年01期

7 秦毅;秦樹(shù)人;毛永芳;;連續(xù)小波變換快速帶通濾波實(shí)現(xiàn)算法的研究[J];振動(dòng)與沖擊;2008年12期

8 余靜波;徐家品;;基于ADS2009微帶帶通濾波設(shè)計(jì)優(yōu)化[J];通信技術(shù);2010年11期

9 吳志榮,林杞楠;微帶SIR帶通濾波電路級(jí)聯(lián)矩陣設(shè)計(jì)法[J];寧波職業(yè)技術(shù)學(xué)院學(xué)報(bào);2001年03期

10 宋鵬;季敏寧;余燕;;W型色散光纖帶通濾波特性的研究[J];光學(xué)學(xué)報(bào);2011年01期

相關(guān)會(huì)議論文 前2條

1 張林;李永新;;基于帶通濾波技術(shù)的CCD噪聲處理研究[A];提高全民科學(xué)素質(zhì)、建設(shè)創(chuàng)新型國(guó)家——2006中國(guó)科協(xié)年會(huì)論文集（下冊(cè)）[C];2006年

2 張樞;趙廣峰;;26～40GHz磁調(diào)帶通濾波混頻組件[A];2008中國(guó)儀器儀表與測(cè)控技術(shù)進(jìn)展大會(huì)論文集（Ⅲ）[C];2008年

相關(guān)重要報(bào)紙文章 前1條

1 成都 成宜 編譯;1/3倍頻程帶通濾波路[N];電子報(bào);2013年

相關(guān)碩士學(xué)位論文 前4條

1 劉蕾;微波MEMS共平面分形可重構(gòu)帶通濾波技術(shù)研究[D];華東師范大學(xué);2008年

2 孫孟;基于帶通濾波技術(shù)的數(shù)據(jù)分解方法與工程應(yīng)用[D];浙江海洋學(xué)院;2015年

3 李沙沙;積分變換帶通濾波在皮膚聽(tīng)聲中的應(yīng)用研究[D];陜西科技大學(xué);2013年

4 萬(wàn)磊;純轉(zhuǎn)動(dòng)喇曼激光雷達(dá)的帶通濾波參數(shù)優(yōu)化及新型系統(tǒng)設(shè)計(jì)研究[D];四川大學(xué);2005年

，

本文編號(hào)：1392997