time and frequency analysis 中文意思是什麼
time and frequency analysis
解釋
頻率時間分析-
We discuss the forecast method which based on wavelet neural networks by combining good time and frequency local analysis ability which wavelet analysis possesses with learning ability which neural networks possesses, and bring forward a frondose, banausic algorithm in this dissertation0 also, a essential thinking of combined forecast based on wavelet neural networks is described and a essential trait of combined forecast based on wavelet neural networks is pointed out
結合小波分析所具有的良好的時頻局部化分析能力和神經網路所具有的學習能力，討論了小波神經網路預測方法，並給出了其具體、實用的演算法。文中還描述了基於小波神經網路組合預測的基本思想，指出了利用小波神經網路進行非線性組合預測的特點。 -
The results show that the method of time - frequency analysis can be used to extract acoustic logging data for solving the practical problems related to time and frequency
分析結果顯示，時頻分析方法應用於聲波測井信息提取可以解決時間和頻率相關的實際問題。 -
Wavelet analysis is the local transform of time and frequency. it is now widely used in the signal processing
小波分析是時間和頻率的局部變換，能夠有效地從信號中提取信息。 -
Wavelet transform is a kind of time - frequency analysis method in signal processing and is becoming more and more popular during these years. its multi - scale property, localization both in time and frequency domain, sensitivity to the abrupt change of signals, and good to denoising make it an ideal way for edge detection
近幾年來迅速發展起來的小波分析，由於其具有時頻局部變換的特性及多尺度性，能敏感地反映突變信號及良好的去噪效果，因此能準確、有效地確定圖象邊緣位置，因此是一種理想的邊緣檢測方法。 -
The developments of high - speed circuits and mmic pose the problem of analyzing the circuits characterized both in time and frequency domains. a variety of mixed time - frequency methods have been developed during the last quarter century in the research of the vlsi interconnect and package analysis and nonlinear steady - state analysis. this paper examines these methods from a unified point of view. various mixed problems are formulated as circuit equations in the mixed time - frequency domain. fundamental approaches to slove the equations are given, from which all of the published mixed methods can be naturally deduced. this facilitates the comprehension of these methods and is helpful for their applications. some new ideas are proposed based on the cross reference among these different kinds of methods
隨著高速集成電路及mmic （微波單片集成電路）的發展，提出了對時-頻混合表示電路進行分析的任務.本文用統一的觀點考察了通常屬于高速電路互連與封裝分析、非線性電路穩態響應分析兩個不同方面的混合分析問題，指出這類問題的實質是要求解一個時-頻混合的電路方程，給出了求解這一方程的基本思路，闡明了現有的各種方法是如何從這一基本思路導出的.這可為認識這些方法的本質與聯系，促進它們的應用與發展提供參考.此文還探討了某些方法之間的相互借鑒，提出了若干新的想法 -
The main work and originality in this thesis can be summarized as following : 1. analysis of acoustic characteristics of ship ' s radiated noise both in time and frequency domain, especially its deviation from the ordinary statistical signal. studies on two modern signal processing methods - higher - order statistics ( hos ) and wavelet transform
分析了艦船輻射噪聲的通過特性、調制特性、譜特性與線譜的特徵及應用，特別分析了輻射噪聲譜的「三非」特性；研究了基於高階譜分析和小波變換的艦船輻射噪聲特徵。 -
The type of the base function of wavelet analysis is not single, while the ft has only the sine ( or cosine ) function or exponential function. wavelet transformation has the character of multi - resolution analysis. wavelet transformation can analyze the signal in any precision ( resolution ) at any part of time and frequency according to the different translation factors and dilatation factors
小波變換具有多解析度分析的性質，對應于不同的伸縮因子和位移因子，小波變換能對信號的任何時間（空間）段、任何頻率段進行任何精度（解析度）的分析，在非平穩信號（包括瞬間信號）的分析中具有很大的優越性，分析時，在信號的低頻部分具有較高的頻率解析度和較低的時間解析度，在高頻部分則具有較高的時間解析度和較低的頻率解析度，被譽為「數學顯微鏡」 。 -
The instant spectrum analysis technology of this kind can get precise results of time and frequency analysis, and avoid the problem of time window
以小波變換為基礎的瞬時譜分析技術能得到精確的時頻分析結果，同時避免了時窗問題。 -
Abstract : the track vertical profile irregularity is regarded as stationary ergodic gaussian random processes. the vertical radom vibration of vehicle and track is computed on the basis of vehicle track coupling dynamic fem model. the analysis of system response is made in the time and frequency field
文摘:將軌道高低不平順視為平穩各態歷經隨機過程5 ，利用車輛-軌道耦合動力有限元計算模型，對車輛-軌道系統垂向隨機振動做了計算，在時域和頻域內對系統響應作了分析。 -
First, several methods of processing traditional digital signal applied in the machine fault diagnosis are discussed in the paper. then it turns to the analysis on time and frequency, to the different sound signals of a rolling piston radial pump, under both in normal and abnormal conditions
首先討論了機械設備故障診斷中所需的傳統數字信號處理的幾種方法，然後對一臺柱塞泵在泄漏故障和正常狀態下的聲音信號進行了時、頻域內的分析。 -
The traditional approaches for eeg signal processing are mostly on the time or frequency analysis. but due to the strong randomness and nonstationarity of eeg, the results obtained from those traditional methods are not very satisfying
但由於腦電信號隨機性和非平穩性都很強，這些時、頻分析方法就有其各自的局限性，很難得到令人滿意的結果。 -
Wavelet analysis is a brand new mathematical tool which has good resolutions at both time and frequency domain
小波分析是新的信號分析數學工具，它在時域和頻域同時具有良好的局部化特性。 -
The system is compatible with the various different types a / d converters, carry out the functions of the vibration signal sampling, the saving of data file, the timely wave showing, the configuration table edit, the former data return and data analysis etc. the functions of signal analysis include the time field statistics analysis, the time field mutual analyzing, the frequency spectrum analyzing, the relevant analysis, the transmission function analysis, the demodulating analysis, and the short fourier transformation of the time and frequency field etc. experiments verify that the system carry out stably and credibility, various functions is achieved, has precise analyzing results, high calculating speed and high precision, the expected targets have been reached
該系統可以兼容多種不同型號的數據採集設備，實現了振動信號的採集、數據文件的存儲、波形的實時顯示、組態表編輯、歷史數據回放與數據分析等功能。系統的信號分析功能包括時域統計分析、時域相關分析、頻譜分析、相干分析、傳遞函數分析、解調分析以及時頻分析中的短時傅立葉變換等。經試驗驗證表明，系統運行穩定可靠，各項功能工作正常，數據分析結果準確、運算速度快、精度高，達到了預期設計目的。 -
Sound analysis in time and frequency - domains and its corresonding estimation and processing
頭高位傾斜實驗心率變異性時頻動態分析 -
The emphasis is put on the spatial angle identification of the unsolved jamming signal in the time and frequency field. two methods of the spatial angle separation is given : the clustering analysis and the power centroid track, and the advantages and the shortcomings of these methods are discussed with the theoretical analysis and the emulational result
本文重點研究了對于多個時域、頻域均不可分辨的干擾信號如何從空間角度上進行分辨，提出了兩種角度分辨的方法，聚類分析法和能量重心跟蹤法，並結合理論分析和模擬的結果，討論了這兩種方法的優缺點。 -
In this thesis, some research and application work with wavelet and wavelet packet in the field of fault diagnosis of gearbox has been conducted. and wavelet analysis, a new time and frequency analysis method, is used in the field of mechanical fault diagnosis
本論文圍繞小波變換和小波包變換在齒輪箱故障診斷中的應用進行了理論研究和實驗驗證，將小波分析這一時頻分析方法應用到機械設備故障診斷領域。 -
Wavelet transform is a time and frequency local transformation and it can withdraw the information from the signal. through the calculate function making the muti - scale analysis it resolves many difficult problems which fourier transformation ca n ' t resolve. in recent years the researches and the applications of wavelet transform on the image compression are flourish, but because wavelet transform is very complicated and its apply has certain localizations
小波變換是一個時間和頻率的局域變換，因而能有效的從信號中提取信息，通過伸縮和平移等運算功能對函數或信號進行多尺度細化分析，解決了fourier變換不能解決的許多困難問題。近年來小波變換在圖像壓縮的研究和應用都十分活躍，但是由於小波的理論很復雜，因此應用起來就有一定的局限性。 -
The wavelet analysis is applying widely to pure mathematics, applied mathematics, signal processing, speech recognition and synthesis, automation processing and image analysis etc. the key advantage of the wavelet analysis is that, in contrast to the conventional fourier analysis, it can be localized in the time and frequency domain simultaneously
小波分析已經廣泛應用於理論數學、應用數學、信號處理、語音識別與合成、自動控制和圖像處理與分析等領域。同傳統的傅立葉分析相比，小波分析的最大優勢在於可以同時在時頻兩方面實現局部化分析。 -
Through the analysis attributes inof time and frequency zone, we can find when the thickness is less than / 4 the relationship between thickness and attribute is liner
通過常用的時頻域分析，可以看出，屬性與地層厚度在調諧厚度內時近似的呈線性關系。 -
The integrated method of time and frequency domain analysis and rbfnn is given for bearing fault diagnosis. through selecting representative parameters, feature space vector is constructed so the input dimension is reduced and fault classification information retained
通過時頻域分析提取了有代表性的特徵參數，構建了特徵空間向量，既降低了網路的輸入維數，提高了網路的學習效率，又保留了故障分類信息。
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