波特變換 的英文怎麼說
中文拼音 [bōtèbiànhuàn]
波特變換
英文
baud conversion-
Dsp chip is especially fit for digital signal processing, its main application is realizing all kinds of digital siginal processing arithmetics such as clove hitch 、 correlation 、 all kinds of transforms etc. realizing digital filters with dsp is an important application
Dsp晶元是一種特別適合於進行數字信號處理運算的微處理器,其主要應用是實時快速的實現各種數字信號處理演算法,如卷積、相關以及各種變換等。其中,利用dsp來實現數字濾波器就是很重要的一種應用。A sets of transforms are introduced in this dissertation, by using of which some kinds of topographies, such as continental slope and ridge, can be converted into flat bottom. the processing simplifies the generation of internal tides and reflection of internal waves over those kinds of topographies
針對海洋中的一些地形,如陸架陸坡地形、海山地形、海溝地形,提出了一組坐標變換,該變換可以將這些海底地形變換成平底,從而使得在這些特徵地形上內波的傳播和內潮的產生問題得到很大的簡化。Digital watermarking algorithm based on wavelet transform, making use of relative frequency equability feature of low - frequency that comes from image ' s mra decomposing and according to size between insert point value and its region mean value, is that two - value watermarking is hid in insert point
基於小波變換的數字水印演算法充分利用了圖像經過多分辨分解后低頻圖像的頻率相對平穩特性,並依據嵌入點值與其區域均值的大小,將二維二值水印信息隱藏到嵌入點。As we all known, with the founding of euclidean geometry in ancient greece, with the development of analytic geometry and other kinds of geometries, with f. kline " s erlanger program in 1872 and the new developments of geometry in 20th century such as topology and so on, man has developed their understand of geometry. on the other hand, euclid formed geometry as a deductive system by using axiomatic theory for the first time. the content and method of geometry have dramatically changed, but the geometry curriculum has not changed correspondingly until the first strike from kline and perry " s appealing
縱觀幾何學發展的歷史,可以稱得上波瀾壯闊:一方面,從古希臘時代的歐氏綜合幾何,到近代解析幾何等多種幾何的發展,以及用變換的方法處理幾何的埃爾朗根綱領,到20世紀拓撲學、高維空間理論等幾何學的新發展,這一切都在不斷豐富人們對幾何學的認識;另一方面,從歐幾里得第一次使用公理化方法把幾何學組織成一個邏輯演繹體系,到羅巴切夫斯基非歐幾何的發現,以及希爾伯特形式公理體系的建立,極大地發展了公理化思想方法,不管是幾何學的內容還是方法都發生了質的飛躍。Fast wavelet analysis algorithm based on oblique projection and mellin transform
基於小波包變換的說話人語音特徵參數的提取According to the time variation and feature extraction difficulty of rotating machinery vibration signals, the rule of choosing wavelet basis function and wavelet denoising soft - thresholding value is proposed after making further research on wavelet transform technique, using for denoising rotating machinery vibration signals the conception of " energy " is proposed, based on the theory that signals energy in all frequency can be affected by faults deeply, to construct feature vectors of rotating machinery vibration signals which can give a convenient disposal way to fault feature extraction and fault intellectual diagnosis
針對旋轉機械振動信號的非平穩性及特徵難以提取的特點,通過對小波變換技術的進一步研究,提出旋轉機械振動信號處理的小波基函數選擇原則及小波包消噪的軟閥值原則。利用小波包變換對旋轉機械振動信號進行消噪處理和特徵提取。並以「能量」為元素,構造旋轉機械振動信號的特徵向量,從而為旋轉機械振動信號的故障特徵提取以及后續的故障智能診斷提供了一種便捷的處理方法。Each demodulation analysis technique has its merits and limitations. in this paper, the principal and limitations of the hilbert transform and generalized detection - filtering demodulation analysis are systematically studied
通過系統分析和對比現有幾種解調分析方法各自的優缺點,本文深入研究了希爾伯特變換和廣義檢波濾波解調分析技術的原理、局限性及其工程中的應用。Using the formulized approach to the su ( 1, 1 ) h ( 4 ) time - dependent system, which is derived from the combination of the formulation of the time - dependent bogoliubov transformation and the evolution equation of the system, we obtain the time evolution operator, state function and heisenberg uncertainty relation of the parametric oscillator with cavity losses under the weak coupling approximation. we also discuss the squeezing property of the system
本文利用含時波戈留波夫變換與時間演化方程相結合得到的求解su ( 1 , 1 ) ? h ( 4 )量子系統的時間演化算符和演化態的普遍公式,我們導出了帶腔損耗的參數振子在弱耦合近似下的演化算符,態函數和不確定乘積,並討論了系統的壓縮特性。In the part of simulating the through signatures of the sound field of ship, it not only comes down to the application of time - frequency analysis methods, and the application of the architecture between processing and interpretation of signals, but also the application of the hilbert transform
其中,艦船聲場通過特性的模擬不僅涉及到了時頻分析思想和依頻譜模重構原始序列的迭代演算法的應用,還涉及到了希爾波特變換的應用。The non - insulated topology characteristics, steady and dynamic principles, parameter design of vrm applied for low - input voltage situation are mainly analyzed
本文重點分析、研究了應用於低電壓輸入的vrm非隔離性同步整流準方波buck變換器拓撲特性、穩態和動態性能,參數設計等。It can also determine the fault spot and reason. this technology has been used in some technological fields and proved efficient. it has promoted the revolution of maintance system and the historial protection is replaced by preventive maintenance. with this technology, we can improve the reliability of machine and decrease the maintance fee. recently, reserch has pick up a fervent pace in the area of fault diagnosis of electrical machines. the paper simply analyzes the fault reason of electrical machines, stressly describes and explores the methods of condition monitoring and fault diagnosis such as partial discharge, stator current, rotating speed, vibration etc. fault prognosis is now include diagnostic feature, reason, spot. prodigious improvement in signal processing hardware and software has made this possible. primarily, these techniques depend on locating specific harmonic components of the fault. these harmonic components are usually diffirent for diffirent types of faults. automated tools such as fuzzy logic based system is also simply presented in the paper
本文從絕緣結構的故障機理入手,以絕緣結構故障的典型特徵? ?局部放電為研究對象,重點討論局部放電的在線監測方法、適用場合併比較它們的優缺點;在分析籠型異步電機轉子斷條在線監測的定子電流監測方法后,根據其缺陷,本文探討了溫升不平衡法、希爾伯特變換數字濾波、小波包分析法的原理及優點;以電機軸承、氣隙偏心等故障為研究對象,通過對電機振動和轉速頻率的檢測,診斷電機的故障類型;本文的重點工作是將人工智慧技術中的模糊技術應用於電機的狀態監測和故障診斷中,力求使電機故障診斷更接近人工智慧化;最後,本文對電機狀態監測和故障診斷系統進行了硬體和軟體初步設計,為實現預測維修提供了有效的技術手段。These are correlation characteristic parameter, fourier spectrum characteristic parameter, power spectrum characteristic parameter, time domain amplitude characteristic parameter, linear prediction coding coefficients, instantaneous characteristic parameter, absorb and decay coefficient, velocity characteristic parameter and wavelet packet transform characteristic parameter. the parameters contain the surface relatively wide, the prediction which is suitable for the goal of many kinds of seism needs
分別為:自相關特徵參數、付立葉譜特徵參數、功率譜特徵參數、時域振幅特徵參數、線性預測編碼系數、瞬時特徵參數、吸收衰減系數、速度類特徵參數和小波包變換特徵參數,參數涵蓋面較寬,適用於多種地質目標的預測需要。Firstly, a method to estimate the rotor speed, which is based on bp neural network, is introduced in this paper. secondly, the park vector approach is used to monitor and diagnose the inter - turn fault of the stator winding. finally, this paper studies thoroughly a novel approach to detect rotor bar breaking fault, which is based on the perfect combination of the hilbert transform and digital filter
具體工作如下:採用bp神經網路對異步電動機轉子轉速進行無速度傳感器估計;對定子繞組匝間短路故障,採用派克矢量方法進行監測與診斷;對于轉子斷條故障,詳細介紹了一種新的基於希爾伯特變換與數字濾波的在線監測方法。Based on signal from carbon fiber composite defects such as lamination, hole, looseners in ultrasonic testing, this paper performs wavelet packet transform on the ultrasonic signals to extract statistics of approximation coefficients and detail coefficients that contain a great part of signal energy as sample - features
摘要本文以碳纖維復合材料常見缺陷分層、孔隙、疏鬆的超聲波檢測缺陷信號為研究對象,對超聲波檢測信號進行小波包變換,提取包含信號絕大部分能量的近似系數波形特徵及細節系數的統計量作為樣本的特徵值。We study mainly the property of pulse amplifier of soa and the pulse compression shaping of being based on soa and all optical wavelength conversion ( aowc ) of being based on soa
本文主要研究了soa對光脈沖的放大特性和基於soa的脈沖壓縮整形以及全光波長變換( aowc )等。The wavelet packet transform is investigated as a novel means of extracting time - frequency information and reducing dimensions of feature from vibration signal in the infinite time domain. neural network is discussed as a pattern classifier to finish damage pattern classification by inputting node energy feature vector
小波包變換以其特有的高頻解析度能夠實現對結構振動信號的特徵提取,可以把時域無限的測試振動信號降維,得到有限個節點能量信號構成的特徵指標。The event - related potential ( erp ) of 29 channels were analyzed with dllm. the result were compared before and after special filter ( hjorth transformation ). the acquired dipole distribution reflects different cognitive process
在真實腦波分析中,數據來自於29導事件相關電位記錄,通過本模型分析了5個特定時刻在空間濾波( hjorth變換)前後的偶極子分佈,它們反映了不同心理過程涉及的腦區域。A method using transient frequency based on complex - analytical - wavelet - transform, which combines hilbert transform with wavelet transform and possesses adaptive analytical ability, is proposed
該方法將希爾伯特變換與小波變換相結合,具有自適應分析能力。Because of strong nonlinearity of the elastomeric damper, analysis of a transient signal is necessary in order to study the stability. it is desirable to have damping identification techniques, which are be fast, can handle a reasonable amount of sensor noise. three analyses are presented here
故本文介紹了三種阻尼識別的方法,即基於傅立葉系數的移動矩形窗法和基於希爾波特變換的方法,以及傳統的基於fft的移動矩形窗法。Wavelet transform is a wonderful method, which have adjustable resolution in time and frequency fields leading to more subtly analysis for a signal segment. it works in a good pattern according with the rule of human ears distinguishing frequencies from voice. for stft having inevitable disadvantages in analysis of unstable signal such as speech signal, as a result of study on wavelet theory and speaker recognition techniques, two feature parameters, iwptc ( incomplete wavelet packet transform coefficients ) and wptc ( wavelet packet transform coefficients ), are got based on wavelet transform
針對短時傅立葉分析在提取說話人特徵參數時的缺陷,本文通過對小波理論和說話人識別技術的研究,借鑒了一種傳統的基於聽覺機理的特徵參數mfcc ( mel頻域倒譜系數) ,利用小波變換、小波多分辨分析和小波包變換,構造出了兩種基於小波變換的說話人識別特徵參數: iwptc (不完全小波包變換系數)和wptc (小波包變換系數) 。分享友人