lbg 中文意思是什麼

lbg 解釋
刺槐豆膠
  1. 2801 and lbg was used as polymer matrix because of their different hfp ratio, dbp was used as plasticizer. the films were made by bellcore method. structure, crystallinity, liquid uptake and conductivity of the films with different ratio of pvdf dbp sio2 was determined

    本文用hfp含量不同的2801和lbg為基體， dbp為增塑劑，採用bellcore方法制膜，得到了聚合物電解質的結構、結晶度、吸液量和電導率隨sio _ 2 、增塑劑含量、聚合物結晶度的變化規律，並對納米無機粒子改性聚合物電解質的機理進行了一些探討。
  2. The classical algorithm of vq codebook design ? lbg algorithm and traditional codeword search algorithms are reviewed

    回顧了經典的矢量量化碼書設計演算法? ? lbg演算法和傳統的碼字搜索演算法。
  3. According to the algorithm of lbg and kohonen, a modified algorithm of codebook formation was proposed to improve the performance of the codebook

    本文在lbg演算法和kohonen網路演算法的基礎上，提出改進的碼本形成演算法，改善了碼本的性能。
  4. In general, it can be classified into speaker identification and speaker verification according to decision modes. this thesis focuses attention on research of text - independent speaker recognition technology based on vector quantization. lbg algorithm is one of the common and important methods used in speaker recognition

    在說話人識別方面，由於矢量量化技術可以有效地提取說話人的個性特徵，矢量量化碼本可以在最佳意義上代表說話人特徵矢量空間中的所有矢量，因而矢量量化碼本可作為說話人有效的識別模型，而模型建立的關鍵問題是獲得高質量的碼本。
  5. By comparison with other vq algorithms such as lbg and fcm, it is demonstrated that this algorithm can get high performance both in codehook quality and computing speed

    通過與其他矢量量化演算法（如lbg和fcm ）的比較，證明該演算法不論在生成碼書的質量還是在計算速度上具有很強的優勢。
  6. 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。
  7. Aco and pso have high robustness and parallel characters. because lbg algorithm can find the local optimal solution fastly and pso has the ability of searching the global optimal solution, a new optimal strategy is proposed in the paper. a better codebook can be designed using the new optimal strategy

    本文在碼書設計中，根據lbg演算法具有較快地發現局部最優解的能力，微粒群演算法具有全局搜索最優的性能，將這兩種演算法結合提出了一種新的優化策略，設計出了性能良好的碼書。
  8. 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。
  9. The improvement in the conductivity comes from two factors : for 2801, the addition of sio2 changed the interaction between the li + ions and the matrix, resulting in the better conductivity ; for lbg, it is because of the enlarged pore size and the higher pore ratio

    兩種基體膜的電導率決定因素不同， 2801膜的電導率主要由鋰離子和基體間的相互作用決定，而lbg膜的電導率主要由皮層孔徑和孔隙率決定。
  10. In section two, we introduce some of the main coding theories that was in the g. 729, including the digital model of the production of speech signal, the linear prediction coding, vector quantization, lbg arithmetic and perceptual weighted filtering

    第二章著重討論了g 729語音壓縮協議中所涉及到的語音編碼基礎理論。主要包括語音信號產生的數字模型、語音信號的線性預測分析、矢量量化及其lbg演算法和感知加權濾波器。
  11. The swarm intelligence algorithm on combination problems such as tsp are discussed. to overcome the limitation of classical algorithm of vq codebook design, an improved algorithm that combines the swarm intelligence algorithm with the lbg algorithm is proposed

    探討了新興的群體智能演算法在解決諸如tsp組合問題的性能，並針對經典的矢量量化碼書設計演算法的固有缺陷，提出了一種將群體智能演算法和lbg演算法結合的碼書設計演算法。
  12. In addition, it is demonstrated to be more effective in the clustering for speech parameters and be obtained better codebook quality in comparison with lbg algorithm. the proposed algorithm in this thesis also shows a new idea in designing the best codebook for solving more complex problem in speaker recognition

    試驗表明， rls演算法在語音參數聚類中表現出了很好的性能，得到的碼書質量優于經典的lbg演算法，從而為設計全局準最優碼書提供了一種新思路。
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