中英
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- Pulse compression technique and large timeband product signals such as linear frequency modulation signals , nolinear frequency modulation signals , phase coded signals and so on are widely used in modern radar systems to improve the resolving power both in range and in speed domain
現(xiàn)代雷達(dá)為了提高雷達(dá)作用距離和速度分辨力、距離分辨力，廣泛采用了脈沖壓縮技術(shù)及大時(shí)寬帶脈壓信號(hào)如：線形調(diào)頻、非線形調(diào)頻、相位編碼信號(hào)等。 - Pulse compression technique is widely used in modern radar systems . it solves the contradiction between the range and velocity resolution . large time - bandwidth product signals such as linear frequency modulation signals ( lfm ) are used in pulse compression technique to improve the resolution in range domain
現(xiàn)代雷達(dá)系統(tǒng)廣泛采用脈沖壓縮技術(shù),在確保雷達(dá)作用距離和速度分辨力的前提下,采用大時(shí)帶積脈沖壓縮信號(hào):如線性調(diào)頻( lfm )信號(hào)提高距離分辨力。 - Taking the storage and transfer of mass image data into consideration , not only could favorable image compression techniques achieve high compression ratio and fidelity , they should also meet the demands of web applications , image compression need further detailed study , thus having developed into a specialized research field known as image coding
出于圖像存儲(chǔ)技術(shù)和圖像通信的考慮,良好的圖像壓縮技術(shù)不僅能夠?qū)崿F(xiàn)高壓縮率和高保真率,還能滿足諸如漸進(jìn)傳輸、圖像漸現(xiàn)等網(wǎng)絡(luò)應(yīng)用的需要。因此,為了滿足實(shí)際應(yīng)用的需要,有必要對(duì)圖像數(shù)據(jù)壓縮處理進(jìn)行深入細(xì)致的研究,目前已發(fā)展成為專門的研究領(lǐng)域:圖像編碼。 - Various data compression techniques are studied and summarized in this paper , including the traditional and the newly developed techniques , then analyses the features of pipeline leak signals , such as the mechanism of production , entropy and correlation coefficient , are analyzed , and finally a universal and low - complex lossless compression algorithm is proposed and implemented in the pipeline leak detection and location system
本文研究和總結(jié)了國(guó)內(nèi)外傳統(tǒng)和最新發(fā)展的各種數(shù)據(jù)壓縮技術(shù),然后分析了管道泄漏信號(hào)的特征,包括管道泄漏信號(hào)的產(chǎn)生機(jī)理、信息熵和相關(guān)系數(shù),提出了一種適合于管道泄漏檢測(cè)定位系統(tǒng)的通用、低復(fù)雜度的無(wú)損壓縮算法。 - Second , research and analyze the feature of signal of pulse compression radar , and discuss the principle and characteristic of pulse compression technique , that are linear frequency modulation and phase coding . the above two mathematic model is constructed , and shift - frequency noise is imposed on the models , and anti - nose ability is evaluated and simulated
通過(guò)對(duì)脈沖壓縮雷達(dá)的信號(hào)特征的研究和分析，通過(guò)研究線性調(diào)頻和相位編碼脈沖壓縮技術(shù)的原理和特點(diǎn)，建立了這兩種雷達(dá)的數(shù)學(xué)模型，并對(duì)此進(jìn)行移頻干擾和相位編碼雷達(dá)干擾，并進(jìn)行干擾性能的評(píng)估和仿真研究。 - Presently , most of the researchers focused their attention on the lossy compression of bionedical signals , but lossless and near - lossless compression is practically expected because the general lossy compression techniques can not serve the high fidelity requirement of signals in this field
鑒于當(dāng)前生物醫(yī)學(xué)信號(hào)壓縮技術(shù)主要偏重于有損壓縮技術(shù)的研究，而較少研究無(wú)損近無(wú)損壓縮技術(shù)，然而在臨床和科研應(yīng)用中，首先要求的是生物醫(yī)學(xué)信號(hào)必須具有高可信度，所以更期望使用無(wú)損或近似無(wú)損的壓縮技術(shù)。 - With the development of asic technology , the improvement of pc processor ' s performance and the popularity of internet , multi - channel real - time surveillant system has become a developing hotspot . novel video compression technique , pc based structure and network transmission makes it excel to the former system
隨著半導(dǎo)體技術(shù)的發(fā)展、 pc機(jī)運(yùn)算能力的不斷提高以及網(wǎng)絡(luò)的日益普及，同時(shí)視頻壓縮技術(shù)的不斷進(jìn)步，利用新的壓縮技術(shù)，以pc機(jī)為核心、通過(guò)網(wǎng)絡(luò)傳輸?shù)亩嗦穼?shí)時(shí)監(jiān)控系統(tǒng)成為監(jiān)控領(lǐng)域的一個(gè)新的開(kāi)發(fā)熱點(diǎn)。 - We firstly summarize the basic theory on image code , introduce some familiar compression techniques and some international compression standards on image and video frequency ; and then , we introduce the basic theory on wavelet transform code and the jpeg2000 standard and its pivotal technique ; at last , we mainly study the embedded zerotrees wavelet ( ezw ) code , we propose a compression technique based on modification of original ezw coding , the main objective of this improved algorithm is to enhance compression ratio of an image with minimal loss during reconstruction , and we verify the improved algorithm ' s performance by doing experiments
首先概述圖像編碼理論的基本原理和方法，介紹了一些常見(jiàn)的壓縮方法和一些涉及圖像、視頻的國(guó)際壓縮標(biāo)準(zhǔn)；接著介紹了小波變換及其應(yīng)用于圖像壓縮編碼的相關(guān)理論，在此基礎(chǔ)上介紹了jpeg2000標(biāo)準(zhǔn)及其關(guān)鍵技術(shù)；最后重點(diǎn)研究了基于小波變換的嵌入零樹(shù)編碼( ezw ： embeddedzerotreeswavelet )算法，并在此基礎(chǔ)上提出了一種改進(jìn)算法，改進(jìn)算法目的是以較小的圖像重建質(zhì)量損失來(lái)獲得壓縮率的提高，并進(jìn)行了實(shí)驗(yàn)驗(yàn)證，驗(yàn)證了該改進(jìn)算法的合理性和有效性。
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