compression threshold 中文意思是什麼

compression threshold 解釋
壓縮閾
  • 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。
  • threshold : n. 1. 門檻；入口，門口。2. 【心理學】閾限。3. 界限，限度。4. 【物理學】臨界值，閾。5. 入門，開始，開端。
  1. 2. a frequency extrapolation scheme is developed to effectively predict radar cross section using floating genetic algorithm based on the geometrical theory of diffraction ( gtd ) model. the threshold discrete fourier transform ( tdft ) is introduced for the data compression in angle domain

    在目標散射中心建模方面，我們將浮點型遺傳演算法（ fga ）應用於實際人工目標的gtd模型參數的抽取，利用所抽取的模型參數完成了雷達散射截面rcs的頻率擴展以及數據壓縮，並利用擴展的數據提高了距離解析度。
  2. The fifth chapter use huffman coding method of the row difference data and lifting wavelet transform and spiht ( set partitioning in hierarchical tree ) coding method to realize the diagnostically compression of mfl data by judging the significance of data using changing threshold and dynamic area threshold of mfl data

    在第五章通過數據變化閾值和數據動態范圍閾值判斷數據重要性，分別採用行差分數據的霍夫曼編碼方法以及提升小波變換和層次樹集分割（ spiht ）編碼方法實現了數據的檢測無損壓縮。
  3. Then we go to details of the ideas of compression algorithms based on ifs theory, such as range block search, fixed threshold, adaptive threshold, linear classification, and so on

    這些演算法包括：全局分塊搜索演算法、固定門限法、自適應門限法、線性分類法、四分之一塊灰度排列法和基於塊合併的壓縮演算法。
  4. A new data compression technique, called the threshold discrete fourier transform ( tdft ) method, is proposed to efficiently compress the scattered field data from complex targets

    提出了閾值dft （ tdft ）演算法用於實現基於雷達目標強散射中心分佈的rcs數據壓縮。
  5. 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。
  6. A screen image compression technology based on sub - blocking with dynamic threshold

    基於動態閾值分塊演算法的屏幕圖象壓縮技術
  7. Fractal image compression coding ( ficc ) is a new image coding method developed in recent years and has been studied extensively. based on the analyze of conventional fractal coding and decoding, a fractal image coding algorithm based on changeable threshold and creative function is proposed in this paper. new algorithm is to be in accordance with the feature of human visual system

    本文通過對傳統分形圖像壓縮編解碼的分析，提出了門限變化和生成函數改進的編碼演算法，此演算法在一定程度上與人類視覺系統特性相符，我們在理論上證明了在相同的條件下，用改進的生成函數恢復的圖像在質量方面比傳統的生成函數要好，恢復圖像的信噪比有所提高。
  8. The method to control chaos by using uniform phase space compression is applied to economic systems in this paper, and a new stabilization method celled threshold stabilization method that suppresses chaos by adding upper hound or and lower bound to state variable is developed according to the characteristic of economic systems

    摘要把利用相空間壓縮來控制混沌應用於經濟系統， ?針對經濟系統的特點引申出閾值控製法，即通過限制變量取值的上限或（和）下限來達到控制混沌的目的。
  9. The paper analyzes binary - split gradient & threshold initial codebook generation - algorithms, codebook generation algorithms based on kohonen self - organizing feature map neural network, a fast codeword searching algorithm using l2 - norm pyramid data structure, side - match vector quantization algorithms, and a fuzzy classified vector quantization algorithm, systematicly explores their application to image compression, computer simulation results show that they are practical and efficient

    文中重點分析了二元分裂梯度與閾值初始碼書生成演算法、基於kohonen自組織特徵映射神經網路的碼書生成演算法、基於l2范數金字塔數據結構的快速碼字搜索演算法、邊緣匹配矢量量化演算法、模糊分類矢量量化演算法，系統地研究了它們在圖像壓縮編碼中的應用，並進行了計算機模擬，實驗結果表明這些演算法是實際有效的。
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