zero of compression 中文意思是什麼

zero of compression 解釋
壓縮度
  • zero : n （pl zeros zeroes）1 【數學】零；零號。2 零位；零點，起點；（溫度表的）零度，冰點；座標原點；無...
  • of : OF ＝Old French 古法語。
  • compression : n. 1. 壓縮；壓緊；濃縮，緊縮。2. 加壓；壓抑。3. （表現的）簡練。4. 應壓試驗。
  1. Compression programs do a fairly good job of boiling documents down to their actual information content, and meaningless padding tends towards zero size in the compressed version asymptotically with compression effort, and if all is happy

    壓縮程序做了一件相當好的工作將文檔壓縮到其實際信息內容大小，並且在已壓縮版本中無意義的填充趨向于零大小（如果一切順利的話，壓縮是漸進地） 。
  2. So this part is dealt with separately. dcpm method is employed to improve the quality of image coding with making full of the relativity of the wavelet coefficients. according to the different importance degree and vision character of the high frequency wavelet coefficients, different thresholds are applied to remove small coefficients ; then mannos module are applied to remove the visual redundancy ; in order to produce more zero - tree, horizontal and vertical wavelet coefficients are transformed accordingly to improve the compression ratio

    對于小波變換后的小波系數的高頻部分，根據其分佈特性和人眼的視覺特性，採用視覺模型對零樹量化過程的閾值進行修正，有效地去除視覺冗餘；對各高頻子圖採用多級樹集合分割的零樹編碼方法，有效地利用系數編碼剩餘符號，進一步提高壓縮比。
  3. The research results are controlled source which has linear or nonlinear variabe frequency scan function and the seismic instruments which match with it, and the method of small group intervals, small offset, much more channels, short array length, high - frequency receivers are applied during the link of data acquisition, and that the techniques of the refraction static correction, the noise suppressing, the high - resolution velocity analysis, the wavelet length compression, the wavelet zero - phase, and the prestack migration should be applied emphasizedly during the link of data processing and interpretation

    研究表明，對于城市活斷層的抗干擾高解析度淺層地震勘探，在數據採集環節應採用具有線性或非線性變頻掃描功能的可控震源和與其相匹配的地震儀器，以及小道間距、小偏移距、多接收道、短排列和高頻檢波器接收的工作方法；在數據處理與解釋環節，要重視折射靜校正技術、噪聲壓制技術、高精度速度分析技術、子波壓縮技術、子波零相位化技術和疊前偏移技術等的應用。
  4. One is to use fourier transformation to convert the source signal from time domain to frequency domain and to discard high frequency harmonious components upwards of 19 ( gb / t14953 - 93 d5. 3 demanding ), then to have static huffman coding to the quantized char array which is composed of reserved direct current component and basic wave and each high frequency " s amplitudes and angles. the other is to use discrete wavelet transformation to convert the source signal from time domain to frequency domain and to set the high frequency coefficients that its absolute value is smaller than the given threshold to zero, then to have dynamic huffman coding to the quantized char array which is composed of multiple, wavelet ' s level, datum length, low frequency coefficients and reserved high frequency coefficients. mass simulinks and analyses under the two circumstances have done to show that data compression ratio is small and the relative error is also small and within the permission of engineering and the compression problem can be solved in theory of measured datum of power system

    第一種情況的壓縮方法為：採用傳統的傅立葉變換把原始信號從時間域變換到頻率域，舍棄20次及其以上的高次諧波成分（保證了gb / t14953 ? 93d5 . 3要求） ，然後對保留的直流分量、基波和各次諧波的幅值和相角數據量化后和量化時分別乘以的倍數系數構成一個數組，以字元形式保存，採用靜態huffman編碼對變換數據進行壓縮；採用離散小波變換把原始信號從時間域變換到頻率域，然後對分解得到的高頻系數進行閾值量化處理，對乘以的倍數系數、小波變換的階數、小波變換后的低頻、各級高頻以及原始數據長度、量化后的低頻系數以及保留的高頻系數大小、位置構成一個數組，以字元形式保存，採用動態huffman編碼對這個文件進行壓縮。
  5. My principal work is these : transforming image in wavelet at first, then encoding wavelet coefficients in sofm arithmetic methodology, lbg arithmetic methodology, dpcm encoding step by step, wavelet zero tree compression separately, reconstructing the image at last, so researching how to improve compression ratio, hi addition, the article puts forward a new arithmetic methodology, sl arithmetic methodology, on the base of comparing sofm arithmetic methodology with lbg arithmetic methodology what it needs emphasis is the variety of reconstructed image because of the diversity of mother wavelet

    本人所做的工作主要圍繞著這樣的步驟：將圖像數據先進行小波變換，然後分別應用sofm演算法、 lbg演算法、 dpcm分步編碼、小波零樹壓縮等對圖像小波系數進行編碼，最後重構圖像。 akqnk44 wa從而研究如何能夠提高圖像壓縮比，並比較了各演算法在圖像壓縮中的特點。另外，根據sofm演算法、 lbg演算法在圖像壓縮中的各自特點，提出了一種新的算祛一七l演算法。
  6. The purpose of our research is to study the data compression coding method of still image. in this paper, an improved zero - tree coding method based on wavelet transform is proposed. with the related experience, it was proved effective

    本文就靜態圖像數據壓縮編碼方法進行了研究，提出了一種改進的基於小波變換的零樹編碼方法，通過實驗證明了此方法的有效性。
  7. Sofm arithmetic methodology, lbg arithmetic methodology, dpcm encoding step by step, wavelet zero tree compression etc, are common methods applied in the encoding of image at present

    本文主要探討了sofm演算法、 lbg演算法、 dpcm分步編碼、小波零樹壓縮等較為多見的幾種圖像編碼方法。
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