image-frequency signal 中文意思是什麼
image-frequency signal
解釋
像頻率信號-
Finally, this thesis discussed these following questions : first, the algorithm of used the error image for improving the purpose of the edge detection. secondly, we have transformed the solved question of the first and the second directional derivative to frequency domain and founded they have a single formulae in frequency domain. thirdly, we have described the singular signal and the noise by using the correlations of the neighbor data after wavelet transform
最後，在傳統的邊緣檢測演算法和小波分析的邊緣檢測演算法之外，對以下幾個方面也進行了一些討論： 1 ）利用誤差圖像來提高邊緣檢測效果的演算法； 2 ）將求解任意方向的一階、二階方向導數的問題轉換到頻域中去求解，發現在頻域中它們具有簡單易用的公式，使得原來求解任意方向的一階、二階導數的比較困難的問題變得容易實現了。 -
We illustrate the wavelet package analysis that can obtain the time - frequency distribution figure of noise signal, which can be used to define gray - image. through image - average, we can get the standard time - frequency distribution images of different main bearing gap. based on that, a main bearing wear fault diagnosis model using image matching is set up
然後對圖像進行平均，得到主軸承在不同間隙狀態下的「標準」時頻分布圖，建立了柴油機主軸承間隙圖像匹配的故障診斷模型，匹配時所用的參數為兩幅圖像之間的歐氏距離。 -
Wavelet analysis is used to translate noise signal of the engine into time - frequency domain. selecting appropriate frequency band to pick up and making its envelope spectrum, then two feature frequency - 0. 5x speed frequency and 2x speed frequency that represent the abrasion condition can be found. in addition, a new diagnosis method of image processing technique is proposed
利用小波分析將測得的機體噪聲信號變換到時頻域，選擇合適的頻帶加以提取並進行包絡譜分析提取包含特徵頻率的包絡，通過分析提取后的0 . 5倍頻和2倍頻分量，發現兩個特徵頻率可準確反映主軸承的磨損狀況。 -
The wavelet transform is an important tool in the domain of mathematic and signal processing. the wavelet transform has excellent time and frequency feature, which has a progressive application in image edge detection
小波變換是一種強有力的數學和信號處理工具，它的時頻域特性決定了它在圖像的邊緣檢測中具有很好的應用前景。 -
In general, a watermark system must satisfy the two basic requirements : imperceptibility and robustness. in this thesis, we proposed a frequency - based watermarking algorithm using toral automorphisms, in which a kind of toral automorphism is employed to mix a recognizable binary image ( bw ), which contains the copyright information, into a noise - like signal
演算法簡單描述如下：首先用一個環形自同構映射把要嵌入的數字水印映射成偽隨機噪聲，然後把該偽隨機噪聲嵌入到宿主數據頻域的低頻段中，接著把得到的頻域系數進行相應的逆變換得到嵌入水印的圖象，最後對該嵌入水印的圖象進行視覺掩蔽處理。 -
Therefore, research on improving the image resolution of sar and isar continuously has been a hot as well important topic. time series echo signal can be decomposed to imfs ( intrinsic mode function ) by emd ( empirical mode decomposition ) algorithm, which is distributed following frequency
經驗模態分解（ emd : empiricalmodedecomposition ）方法能夠把時間序列信號分解成有限數目的本徵模態函數（ imf : instrinsicmodefunction ） ，分解結果按頻率高低分佈。 -
After analyzing the theory of mtdi and setting up the model of moving target echoes, the dissertation discusses in detail the effect of moving target doppler center frequency and doppler rate on the conventional sar image. it also analyzes detailedly the range migration of moving target from time field and frequency field and provides migration model in both fields. after that, it divides algorithms of mtdi into several classes, analyzes the influence of signal - to - noise on the detection results and gives the flow chart of moving target imaging processing
本文的主要貢獻包括： 1 、建立了運動目標回波散射模型，深入探討了進行常規sar成像時，動目標的多普勒中心頻率和調頻率對動目標圖像造成的影響；從時域和頻域兩方面詳細分析了由於目標運動造成的距離徙動效應，建立了距離徙動模型；然後研究了動目標檢測原理，並對現有的檢測方法進行分類，使之更加系統化；詳細分析了動目標信噪比對檢測結果的影響，給出了sar系統動目標成像流程圖，指出了動目標成像中的關鍵環節。 -
Comparing with the image watermarking, the audio watermarking have a few characteristics : 1. comparing with the visual media, audio frequency signal has less sampling points at every time interval. 2. owing to human audition systems, it is more sensitive than human vision systems, therefore, it is more trouble to realize the imperceptibility of audition compared to the vision systems. 3. to stick up to the cut attack, embedded watermark should keep synchronization. 4. because of the bigger memory payload of audio frequency signal, the initial audio frequency signal must be removed during the extract in order to protect the maneuverability of project
數字水印技術是近幾年來學術界興起的一個前沿研究領域，提高演算法的魯棒性、安全性、實用性是數字水印的研究方向。本文提出的基於可視密碼術的小波域下量化系數的魯棒性音頻數字水印方案，其優點在於利用小波變換的多解析度特性在保證水印魯棒性的同時使水印對原始音頻信號的影響達到最小，採用量化系數的方法嵌入水印信息實現了盲水印，提高水印的工程應用價值。 -
Wavelet transforms overcome the shortcomings of fourier - based techniques because of wavelet ’ s advantage on flexible time - frequency windows. wavelet has been widely applied in numerical analysis, signal processing, and image processing. at present, lifting scheme is new method for constructing wavelets and performing wavelet transform
小波變換克服了傳統fourier變換的不足，在時域和頻域都有良好的局部化特性，在數值分析，信號處理，圖像處理方面得到廣泛的應用，提升技術是構造小波和實現小波變換的一種新方法。 -
Based on theoretical deductions and data simulations, this dissertation analyzes properties of echo data in time domain, frequency domain and wavelet packet transform ( wpt ) domain. we also analysize properties of complex image data in image domain, image frequency domain and image wavelet packet transform domain. several methods are proposed for jamming suppression in signal domain and image domain respectively
本文在理論推導、數據模擬的基礎上，分析了原始回波數據在時域、頻域和小波變換域的特徵以及復圖像數據在圖像域、圖像頻域和圖像小波變換域的特徵，提出了幾種行之有效的信號域和圖像域抑制方法。 -
Wavelet analysis is a newly developed theory, which overcomes the disadvantages of traditional fourier analysis. it has good localized features in both the time domain and the frequency domain and has important application value in the fields of signal processing, image processing, speech analysis and so on
小波分析是一門新興理論，它克服了傳統fourier分析的不足，在時域和頻域都具有良好的局部化特性，在信號處理、圖像處理、語音分析等領域有重要的應用價值。 -
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。 -
One method is to embed the watermarking signal of pseudo - gauss random sequence into the low frequency sub band of dwt domain by analyzing both the distribution of the signal energy and the influence of the image disposal
一是通過對圖像小波變換后圖像能量的分佈以及圖像處理對各小波子圖影響的分析，提出將高斯水印嵌入到小波變換的逼近子圖中。 -
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。 -
This means that the edge of image is the high frequency part of signal
因此所有的邊緣檢測方法都是檢測信號的高頻部分。 -
Image offset method that is also fast can be applied to motion compensation, time - frequency method is intuitionistic and have a better accurate, which is applied extensively on offline. fractional fourier transformation method is not accurate, but which have some now application in signal processing
在多普勒調頻斜率估計中，時頻分析法比較直觀，估計精度也不錯，脫機處理中獲得了廣泛的應用，圖像偏移法估計速度快，在運動補償中得到了應用。
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