transform domain processing 中文意思是什麼
transform domain processing
解釋
變換域處理-
Then, based on the theory of discrete fourier transform, discrete cosine transform and discrete wavelet transform, two invisible image watermarking schemes in transform domain are proposed, one is circular symmetric spread spectrum digital image watermarking based on chaotic sequences, the other is the hybrid image watermarking based on wavelet decomposition and discrete cosine transform. finally, the good performance of the two algorithms is verified by some common image processing and attack experiments
在分析了dft 、 dct 、 dwt的理論與演算法的基礎上，提出了兩種基於變換域的圖像隱形水印方案? ?基於混沌序列的圓對稱擴頻水印方案和基於小波分解和餘弦變換結合的水印方案，並通過一些常見的圖像處理及攻擊實驗驗證了這兩種演算法生成水印的性能。 -
The thesis firstly analyzes the signal form of frequency modulated interrupted continuous waveform ( fmicw ) in theory, studies the principles of detecting range and velocity for fmcw, and further discusses the essential processing methods of the fmicw signal form, including the range transform processing method based on the strict corresponding relation between time and frequency domain, the velocity doppler transform, the digital beam forming
本文首先從理論上分析了在高頻地波超視距雷達所用的線性調頻斷續波信號的形式，研究了fmcw雷達測距測速原理，並深入地探討了fmicw信號的基本處理方法以及具體的演算法，主要包括距離變換中採用的時間波門相關處理方法，速度多普勒變換，數字波束形成。 -
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 data processing system further includes a discrete transforming means for performing a discrete transform on the input data at the first sampled frequency for trans forming the input data to a discrete function in a second - variable - domain at the first sampling frequency
此資料處理系統也包含一個離散轉換裝置，用來對以第一個取樣頻率所取樣的輸入資料作離散轉換，也就是將輸入資料轉換成以第二個取樣頻率為頻率及第二個變數為定義領域的離散函數。 -
In this paper, we introduce a new framework for statistical signal processing based on wavelet - domain hidden markov models ( hmms ) that concisely models the statistical dependencies and nongaussian statistics encountered in real - world signals, since the wavelet transform can decorrelate image data by reducing the number of states of wavelet coefficients, thus making wavelet - domain hmms manipulable and usefu l for statistical image modeling
本文介紹了一種統計信號處理的框架模型，這種模型是基於小波域的隱馬爾可夫模型，它可以簡潔地對實際生活中遇到的信號的統計相關性和非高斯統計進行建模。因為小波變換可以通過減少小波系數的狀態數量來去除圖像數據的相關性，因此小波域的隱馬爾可夫模型對于統計圖像建模是可以掌控的和有用的。 -
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 fact, scaling technology is an essential component in many image / video processing such as to magnify / minify still image, to achieve special effect like picture - in - picture, to compress or transform digital video with spatial scalability etc. in this thesis we mainly employ this technology in video transcoding, which is a powerful but computationally intensive tools to convert one kind of video format into another, meeting different demand such as lower bitrates or various display terminals. in sum, there are two kinds of scaling schemes : one is in spatial domain and the other in transform domain. the scheme in transform domain can provide very good performance, that is, efficient computation and desirable image quality, whereas it has some disadvantage which is impossible or hardly to o vercome, especially some scenarios require arbitrary ratio zoom in horizontal and vertical, and excellent visual effect
兩種方法都各有其利弊：變換域的方法是利用現有常用的視頻壓縮方案都是基於dct這個特點，所以可以直接在變換域做處理，這樣可以節省大量的計算，但其缺點是由於dct是基於塊的變換，如8 8 ，所以很難找到一種方案可以進行任意比例的縮放，尤其是在縱橫縮放比例不一致的情形，但這對諸如hd縮放到sd和空域分級的壓縮方案來說尤為重要，基於空域濾波的方法卻沒有這樣的限制，同時可以保證縮放后的圖像的質量遠高於基於變換域的方法，為了達到高的縮放質量，就不可避免導致計算量過大。 -
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。 -
In research of forest fire auto - recognition, the paper discusses digital image processing with wavelet theory and nn. image de - noise processes in wavelet domain by wavelet transform and automatically segments by otsu method, wsa and kohonen nns
森林火災圖像經小波分解后，在小波域中予以去噪預處理，並藉助閾值化圖像分割技術、 wsa與kohonen神經元網路自動分割圖像。 -
The signals are transformed into digital signals and sent to a computer. digital signal processing includes amplifying the sound signals, low - pass filtering, wavelet transform for de - noise and analyzing power spectra using matlab software. for different species of pests the acoustic characteristics are different in time domain and frequency domain
害蟲聲信號採集系統由日本產teac ；四通道錄音機（數字記錄儀）記錄害蟲爬行聲信號，數字示波器將聲信號轉變為數字信號送計算機存儲，由matlab軟體對數據文件進行信號處理，包括信號的再現、放大、濾波、小波去噪、功率譜分析等工作。 -
Mechanical vibration and shock - signal processing - time domain windows for fourier transform analysis
機械振動和沖擊.信號處理.傅里葉變換分析用時域窗 -
As analyzing the optical spatial filter and frequency domain filter with wavelet transform, the space variable processing > matched filtering and imagery system are the examples. all of these confirm the feasibility of wavelet transform applied in optical information processing
用小波變換處理光學信息，主要的是應用小波的多分辨特性，小波變換的定義是一相關運算，很容易在光學系統中實現，這是光學小波變換的理論依據。 -
Continuous wavelet transform is a good analytical method in the time domain and the frequency domain, especially applicable for non - stationary signal processing
連續小波變換方法是一種在時域和頻域均具有良好局域性的分析方法，尤其適用於非平穩信號的處理。 -
Based on the svs characteristic analysis of image matrix, a visually recognizable binary image watermark is embedded into maximal singular value coefficient in block - based svd transform domain of the cover image. here we brought forward two primary schemes : one need original signal and the other is blind ( without the original cover ). experimental results show that our schemes can extract reliable copy of the hidden watermark from images that have been significantly degraded or altered through several common geometric distortions and signal processing operations
本文基於圖像矩陣的svd奇異值分解特性分析，提出了在新的svd變換域中進行的數字水印演算法，水印信息嵌入到分塊變換的最大奇異值分量系數中，應用混沌變換加密和空域置換，改善了空域性能，安全性高；利用圖像分塊矩陣的奇異值分解穩定性好的特點，採用圖像內容自適應方法計算水印的嵌入強度，增強了演算法的穩健性；採用二值圖像作為有意義水印進行嵌入和檢測，水印在感知上是可視的。 -
The software is developed on the platform of labwindows / cvi that includes nine main modules : data acquisition, pre - processing, stable state analysis, tracking filter, time domain analysis, frequency domain analysis, modern processing method, wavelet transform and trend analysis. it is provided with friendly man - machine communication interface, handy operation and all - around functions
該軟體以labwindows cvi為開發平臺，共包括九個模塊：數據提取模塊、預處理模塊、穩態分析模塊、跟蹤濾波模塊、時域分析模塊、頻域分析模塊，現代處理方法模塊、小波分析模塊、以及趨勢分析模塊；軟體具有良好的人機交互界面，操作簡便，功能齊備。
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