quantization step 中文意思是什麼

quantization step 解釋
分層隔距
  • quantization : 分層量子化把連續量轉換為數字
  • step : vi （ pp ）1 走；跨步。2 踩，踏上 （on）。3 跳舞，輕快地走，合著步調走。4 跨入，踏進。5 走上。vt ...
  1. The adaptation processing includes linear prediction coefficient adaptation and adaptation of quantization step size for residual signals. based on g. 726, we adopt a huffman coder to make use of probability statistic of bit cascade covering n ( n 1 ) samples generated from adpcm, in order to further reduce the bit rate. ng is lossless entropy coding, the speech quality of our improved algorithm should be same as that of g. 726 standard

    我們的研究和改進工作包括:研究最優非均勻自適應量化器，及其自適應演算法;研究波形預測函數，以及函數零點、極點的自適應演算法;基於每n （ n 1 ）個樣本所對應符號的概率統計，對預測殘差量化值再進行huffman編碼，進一步降低比特率。
  2. Chapter 4 : the influence of different phase - shifting angle of reference wave in recording, of the phase - shifting error and of the quantization error on the quality of the reconstructed image is investigated respectively in two - step phase - shifting inline digital holography. and an effective method of eliminating the phase - shifting error is presented, in which the summation of the intensity bit errors of the reconstructed image is taken as an evaluation function for an iterative algorithm to find the exact phase - shifting value. the feasibility of this method is demonstrated by computer simulation

    通過數值分析不同相移角的選取對再現像的強度誤差的影響，發現再現像強度誤差依賴于記錄時相移角的選取，當相移角在一定范圍內，其再現像的強度誤差相對較小；提出了一種有效消除相移誤差的新方法，並將其應用於二步同軸相移數字全息，對此進行了計算機模擬，得到了很好的結果，證明該方法對于相移誤差的消除是很有效的；對量化誤差所作的數值模擬發現，當信號被量化成8比特（ bit ） ，即256個灰度級以上，量化噪聲的影響相對較小。
  3. In this paper, the theoretic research on multi - step amplitude quantization for a solid - state active phased array with irregular subarrays is presented, and the designing principle and approach are given

    摘要對不規則子陣固態有源相控陣多階振幅量化進行理論研究，給出其設計原理與途徑。
  4. A robust image blind watermarking algorithm based on adaptive quantization step in dwt

    域自適應量化步長的圖像盲水印演算法
  5. The algorithm is based on the optimum quantization step for each dwt coefficient according to psychovisual considerations which derived from methods in image compression

    本文的演算法基於圖像壓縮演算法中利用心理視覺給出的dwt系數的最優量化步驟。
  6. As human eyes are more sensitive to the low coefficients than to the high coefficients, a preprocessor is employed to remove part of the high coefficients and a visual property factor is introduced to increase the quantization step in complex regions while decreasing the quantization step in flat regions

    該策略利用人眼對圖像低頻分量比對高頻分量敏感的特性，先對圖像進行預處理，去掉部分高頻分量，並在量化時引入視覺特性因子以加大圖像復雜區的量化而減小圖像平坦區的量化。
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