wavelet basis 中文意思是什麼
wavelet basis
解釋
小波基-
On the basis of investigation and research about the technology of reconstruction for ict image up - to - date, this paper is devoted to develop an algorithm for image reconstruction based on wavelet theory. in this paper, time - frequency distribution for spatially varying filter was used to construct convolve - kernel by dwt, to modify convolve - back - projection algorithm
本文在國內外有關ct圖像重建的研究狀況基礎上，根據小波分析理論，利用小波變換在時頻空間的可變性，用dwt變換構造卷積核，對卷積反投影演算法做了改進。 -
In the first part of the paper, the development of motor control system fault diagnosis theory is summarized. on the basis of the analysis of the characteristics of wavelet, the theory is discussed and the definition of the singularity is given. because of the localization property of wavelet transform, wavelet analysis can be used to detect the characteristics of the singularity from the signal and intermittence fault problems lying in the motor under test
著重介紹了小波分析在電機控制系統故障診斷中的應用，根據小波理論在時域和頻域良好的局部化性質，討論了利用小波變換來檢測信號的奇異特徵的原理，給出了小波變換對信號奇異性特徵檢測的方法，針對實際應用，對小波基函數選取及小波分解尺度進行了探討。 -
On the basis of algorithm analysis, from aspects of detecting principle, detecting steps and computer emulation, the authors expatiate how to use wavelet transform to detect backscatter signals ' time difference and find the fantastic point of backscatter signal ( the time point when backscatter signal reaches ), finally to find the location of the object being detected
在演算法分析基礎上，從檢則原理、檢測步驟、計算機模擬方面闡述如何利用小波變換檢測回波信號時差，以確定回波信號的奇異點（回波信號到達時間點） ，進而確定被探測目標的位置。 -
For real world implementation of wavelet theory, we mainly focus on the selection of suitable wavelet bases and related algorithm applied in the following different aspects : in this paper, the selection of wavelet basis function is presented in detail through the investigation of traditional selection of wavelet basis and the theory of lifting scheme, an adaptive wavelet transform is put forward, and the adaptation is come from adaptive choosing between a class of linear predictors within the lifting framework according to the local gradient of the signal. we investigate the central issues such as the structure of adaptive frame and the calculation of corresponding wavelet basis function
對于小波的應用性研究，針對實際應用，主要對其基函數選取及相關的應用演算法進行了詳細探討，主要工作內容包括下面幾個方面：在論文中，首先對基函數的選取進行了詳細的研究，通過對經典的小波函數選取方法的研究，並在對經典小波變換和提升框架的基礎理論上，提出了利用提升框架並根據信號的局部特徵自適應選取小波基，探討了自適應框架的結構以及相應的小波基函數的計算。 -
It has such feathers as multi - resolution, constant relative bandwidth, and the ability to indicate the local features of signal in time and space. after wavelet transform by using proper wavelet basis functions, the epileptic waves can be separated at different scale, then we can detect the epileptic waves by using the wavelet transform result at the proper threshold value
本文選取適當的小波函數，將信號進行連續小波變換，把腦電信號中的癲癇特徵波在不同的尺度下分離出來，然後選取特定尺度下的變換結果，通過閾值判定方法對棘波進行檢測。 -
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。 -
This article shows a new method to construct symmetric compacted orthogonal wavelet packet basis ： the original compacted orthogonal wavelet basis and scaling function are decomposed into symmetric and anti - symmetric parts respectively ， then we prove that three of four parts is also wavelet basis and another is scale function. we find it simple to process 1 - d signal. finally, by these results above, all the results above are applied to dsp
本文提出一種新的對稱化方法，把一大類緊支集實值的非對稱正交小波函數分解成對稱和反對稱兩部分，並證明了其相應的兩部分仍然構成對稱和反對稱的緊支正交小波基，而且我們發現尺度函數對稱和反對稱部分分別是某子空間的尺度函數和小波函數。 -
First, method for initialization of wavelet basis in wavelet frames is proposed ; second, according to the data distribution, a modified method for rough selection of wavelet basis is given ; and the last, an adaptive projection algorithm combined with aic criterion is used to purify the wavelet basis, meanwhile finishing the parameters identification
首先在小波框架內提出一種小波基初始化方法；然後根據樣本的分佈特點，提出一種改進的小波基粗選方法；最後將自適應投影演算法與aic準則相結合，對小波基進行精選，同時完成網路參數的辨識。 -
Studying different problems by using different wavelet basis, we can obtain different results
不同的問題用不同小波基來分析研究，其效果會大不一樣。 -
4. have analyzed properties of wavelet coefficients obtained from an image through wavelet transform, and discussed how to select wavelet basis to optimize wavelet coefficients
（ 4 ）分析了圖像小波變換后小波系數的特徵，討論了優化小波系數的小波基選擇問題。 -
Contrary to the fourier transform, the basis function used in wavelet is not exclusive. so a serious problem in engineering is that how to get the best wavelet basis, for different wavelet basis leads to different result
因此，小波分析在工程應用中一個十分重要的問題就是最優小波基的選擇問題，因為用不同的小波基分析同一個問題會產生不同的結果。 -
Mallat algorithm is deduced from the viewpoint of multi - resolution analysis. filter banks is used to construct orthogonal and biorthogonal wavelet basis. wavelet basis is selected according to the requirements of image compression
針對圖像壓縮這個具體應用給出小波基的選擇依據，以及在盡可能好的重構原始圖像的要求下，小波變換應當採用的處理方式。 -
In order to handle problem that the number of wavelet basis functions grows exponentially with the number of the dimension of input space, two wavelet models are presented. the former is a wavelet network constructed by single - scaling multidimensional wavelet frames
針對小波函數個數與空間維數呈指數增長關系，而給多維空間中建模帶來的困難，給出了兩種小波模型。 -
To take advantage of the excellent localization character of wavelet, cardinal b - splines wavelet basis is used as a substitute for the traditional polynomial basis in this dissertation. related theories are expatiated first, and then a method is developed for using wavelet in efg
本文首先對有關的理論作了闡述，然後提出了採用小波基的具體實現方法，並通過多個算例說明了此方法具有的高精度。 -
We study the wavelet neural network theory and how to build models. the wavelet networks can be used in ecg signal compression by adjusting wavelet basis and weight values. at the same time, this algorithm also can reconstruct the ecg signal very well
在理論研究了小波變換方法和神經網路的基礎上，提出了基於小波神經網路的ecg數據壓縮演算法，並分析研究了基於小波神經網路壓縮ecg數據的原理和模型的構建方法。 -
Then, the conception of wavelet transformation is introduced from the viewpoint of signal processing, and its application in image compression, including the selection of wavelet basis and the distribution of wavelet coeficients, is researched by the experimental ways
然後，從信號處理的角度介紹了小波變換，並通過實驗的方法研究了其在圖像壓縮中的應用，包括:小波基的選擇、邊界延拓方法以及圖像小波系數的分佈特點等。 -
Artifical neural networks are employed for defect accurate recognition and calculation, the traditional bp neural network and wavelet basis function neural networks can successfully predict or estimate defect shape and geometry parameters, their application to the magnetic flux leakage inspection is put forward at first
將神經網路模式識別方法應用到缺陷漏磁檢測中來，提出了用bp網路和小波神經網路對缺陷進行定量識別，精度高、效果好。 -
Finite support signal is transformed by wavelet basis in order to reconstruct image as possible as alike. experiments show the distribution character and the degree of correlation of sign, within - subband and cross - subband of wavelet coefficients and provide transcendental knowledge for later coding
通過實驗分析了小波變換后系數的分佈特點，以量的形式給出小波系數的符號相關性、子帶內、子帶間的相關性等多種相關性的強弱，為以後的壓縮提供先驗知識、指導編碼。 -
In case of high input dimension system model, taking norm of input vector as the input of wavelet network instead of using tensor product method to construct wavelet network, which could solve the problems of high computation and curse of dimensionality. in the selecting of specific wavelet basis, this thesis first gets initial wavelet basis collection according to spectrum analysis, then gives the least squares regression algorithm to optimize wavelet basis collection based on the least estimation error criteria, which could also initialize the model parameters and increase the speed of convergence
對于具體的模型小波基函數選擇，本文首先對樣本數據進行時頻域分析，根據小波基函數時頻空間覆蓋樣本時頻空間的原則，在小波框架中選擇建模所用的函數集，然後根據估計誤差最小準則，給出最小二乘回歸優選演算法以進一步優化小波基函數集。 -
In the wavelet image compression system ， the choice of wavelet basis directly determines the statistical characteristics of wavelet coefficients, thus it not only affects subsequent processes, but also affects the final compression ratio and the the quality of reconstructed image. the method of realizing wavelet transform determines computational complexity, whether the transformed data can be lossless recovered or not, etc., accordingly it can affect the time spending on compression and the quality of reconstructed image
在小波變換圖像壓縮方法中，小波基選擇的好壞，直接決定小波系數的性質，從而影響壓縮過程中后繼的其它處理，影響最終的壓縮比和圖像重建質量；小波變換的實現方法決定著計算的復雜度、數據的恢復性能等，從而影響壓縮時間和圖像重建質量。
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