time domain coding 中文意思是什麼

time domain coding 解釋
時域編碼
  • time : n 1 時，時間，時日，歲月。2 時候，時刻；期間；時節，季節；〈常pl 〉時期，年代，時代； 〈the time ...
  • domain : n 1 領土，版圖；領地。2 管區，勢力圈；（特定動物等的）生長圈；（學問、活動等的）領域，范圍；【物...
  • coding : n. 編碼；譯成電碼。
  1. In the third parts : based on davis ? self - quantization of subtrees, the fractal coding in the wavelet domain put forward orientaiton wavelet - subtree fractal coding, this coding encodes individually towards wavelet - subtree, at the same time, davis put forward the image coding concerning the disadvantage existing in rinaldo and calvagno ? fractal predictive case

    第三部分：以davis提出的小波樹的自量化（ self - quantizationofsubtrees ）編碼演算法研究現有小波域內的分形圖像編碼方法，在現有方法的基礎上，提出了方向性小波樹的分形編碼方法。
  2. Fractal image compression coding is focused attention upon by researchers for it ' s good quality of high compression ration, resolution irrelevancy and fast decoding. but it ca n ' t be put into practice for the matching search of domain and range is too difficult and the coding time is too long

    分形圖像壓縮編碼以其高壓縮比、解析度無關性、快速解碼等優越特性而引起世人矚目，但卻常因為龐大的定義域計算和煩瑣的定義域值域匹配搜索而使編碼時間過長，從而影響了其實用性。
  3. Time domain coding

    時域編碼
  4. Space - time coding for single - carrier frequency - domain equalization systems

    引入空時編碼的單載波頻域均衡系統
  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. Based on dct domain r - d analysis, we provide a new constant bitrate ( cbr ) rate control algorithm, which can cure tm5 algorithm " two limitations, buffer conformance and scene cut problem. for variable bitrate ( vbr ) rate control, we proposed a single - pass vbr rate control algorithm for real - time video coding application

    對于vbr碼率控制，作者還提出了一種面向實時視頻編碼應用的單通道vbr碼率控制演算法，它避免了多通道vbr演算法的多次編碼或預分析的開銷，減小了量化步長波動，可提供穩定的視頻質量。
  7. We first introduce the basic methods of speech processing in time domain. emphatically, we describe linear prediction and tonality detection of speech signal. moreover, we discuss the g. 726 speech waveform coding standard in details

    本文首先介紹了語音波形時域分析處理的基本方法，對語音波形線性預測和音調檢測技術作了重點描述，著重研究了g . 726語音波形編碼演算法，並在此基礎上，對該演算法進行了某些探討改進，並用vc + +編程，在pc機平臺上予以實現。
  8. Firstly, it introduces the development of speech coding, along with the significance of the low bit rate speech coding. it also compares the model of traditional dualistic excitation lpc vocoder and the multi - band excitation vocoder, and lucubrates the analytical method of frequency domain and time domain in the parameter extraction of multi - band excitation vocoding. secondly, based on the parameter extraction operation of keynote cycle, it adopts time domain in rough estimate operation of keynote and frequency domain in fine estimate operation of keynote, in according to the immediacy required in practice, to minish operation amount

    本文闡述了一種基於fpga的多帶激勵語音編碼器的研究與設計，首先介紹語音編碼研究的發展狀況以及低速率語音編碼研究的意義，接著對比分析了傳統二元激勵lpc聲碼器模型和多帶激勵編碼器模型，並深入研究了多帶激勵語音編碼參數提取的頻域和時域分析法，然後根據實際應用的實時性要求，為了減小運算量，在基音周期參數的提取的演算法實現上，本文採用在時域進行基音粗估運算，在頻域進行基音精細估計運算。
  9. These are correlation characteristic parameter, fourier spectrum characteristic parameter, power spectrum characteristic parameter, time domain amplitude characteristic parameter, linear prediction coding coefficients, instantaneous characteristic parameter, absorb and decay coefficient, velocity characteristic parameter and wavelet packet transform characteristic parameter. the parameters contain the surface relatively wide, the prediction which is suitable for the goal of many kinds of seism needs

    分別為：自相關特徵參數、付立葉譜特徵參數、功率譜特徵參數、時域振幅特徵參數、線性預測編碼系數、瞬時特徵參數、吸收衰減系數、速度類特徵參數和小波包變換特徵參數，參數涵蓋面較寬，適用於多種地質目標的預測需要。
  10. The taboo - search algorithm and the ordinary genetic algorithm are combined in this paper and the new algorithm is named taboo - genetic algorithm. the new algorithm is applied into the matching search of domain and range in fractal image coding. the result shows that the coding time is decreased greatly when the compression ration and the peak signal and noise ration do not decline

    后來把禁忌搜索演算法與簡單遺傳演算法相結合，提出了一種新的禁忌搜索遺傳演算法，並應用於分形圖像壓縮編碼的定義域、值域匹配搜索，從而在不降低峰值信噪比和壓縮比的情況下極大地改善了分形圖像壓縮編碼的速度。
  11. In mrme, coding of intra - frame and inter - frame are done in wavelet decomposition domain. mrme costs much less time to perform motion estimation operation compared to block matching motion full search algorithm ( fsa )

    該方法可保證幀內、幀間編碼過程始終在小波分解域內進行，運動估計運算量比塊匹配全搜索法小得多。
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