線性預測器 的英文怎麼說

中文拼音 [xiànxìng]
線性預測器 英文
linear predictor
  • : 名詞1 (用絲、棉、金屬等製成的細長的東西) thread; string; wire 2 [數學] (一個點任意移動所構成的...
  • : Ⅰ名詞1 (性格) nature; character; disposition 2 (性能; 性質) property; quality 3 (性別) sex ...
  • : Ⅰ副詞(預先; 事先) in advance; beforehand Ⅱ動詞(參與) take part in
  • : 動詞1. (測量) survey; fathom; measure 2. (測度; 推測) conjecture; infer
  • : 名詞1. (器具) implement; utensil; ware 2. (器官) organ 3. (度量; 才能) capacity; talent 4. (姓氏) a surname
  • 線性 : [數學] [物理學] linear; linearity線性代數 linear algebra; 線性方程 linear equation; 線性規劃 line...
  • 預測 : calculate; forecast; prognosis; divine; forecasting; foreshadowing; predetermination
  1. Linear prediction vocoder

    聲碼
  2. Through numerical simulations on the composition control for an exothermic chemical reactor system, the comparative evaluation between the proposed control and the nonlinear model predictive control ( nmpc ) are given

    藉由數?模擬一放熱反應系統內的組成控制,將提出控制方法與非模式控製做比較評價。
  3. The online measurement of mold heat flux can not be replaced by online temperature measurement, the later can respond the uniformity of heat transfer and thickness of solidified shell mote accurately and directly, and online temperature and heat flux measurement of mold can be used to foresee the mold conditions such as fix and scaling of mold

    溫度的在不能代替熱流的在,後者可更準確和直接地反映結晶傳熱和坯殼厚度的均勻;同時在結晶的溫度和熱流有可能對結晶的設備狀態(如結晶的安裝狀況和水垢狀況)實現在
  4. Computer architecture, san diego, california, jun. 2003, pp. 324 - 335. 5 lee s j, yew p c. on some implementation issues for value prediction on wide - issue ilp processors. in proc

    以集成有值機制的亂序執行的超標量流水模擬平臺為基礎,本文對先前研究提出的多種值能影響進行了試分析。
  5. The demand is the power forcing speech coding to progress. traditionally linear prediction ( lpc ) vocoders are very efficient, which can encode speech from 800 to 2400bps, but unfortunately, artifacts such as buzzes, thump, and tonal noise always exist in them

    經典的( lpc )聲碼具有很高的編碼效率,可以極低的碼率( 800 2400bps )對語音信號進行編碼,不幸的是它的合成語音聽起來很不自然,常常夾雜著嗡嗡聲,重擊聲或者音調噪聲。
  6. The gained snr is higher than the previous algorithm ’ s. a linear least square predictor is presented for the trajectory association algorithm. it can effectively reduce the prediction error and improve the trajectory detection probability

    針對軌跡關聯匹配演算法中的軌跡誤差大的問題,採用多點最小二乘( ls )線性預測器加以改進,減小了軌跡的位置誤差,提高了目標軌跡的檢概率。
  7. Each band of hyperspectral image has the same physical structure, so we classification the first band, and design an optimal linear predictor for each class to make the mean prediction square error minimal, and then we use jpeg - ls algorithm to remove the spatial redundancy

    由於高光譜圖像每個波段都具有相同的物理結構,先對首幅圖像進行分類,在每個子類中分別使用各自的最佳線性預測器,將該類中的相鄰譜段進行並將殘差均方降為最小,然後用jpeg - ls演算法去除殘差圖像的相關
  8. Secondly, hyperspectral images are hard to compress because of their abundant details, complicated texture and insignificant special correlation. making use of the significant spectral correlation within the hyperspectral images, we propose an optimal linear predictor which makes the square error minimal

    針對高光譜遙感圖像細節豐富紋理復雜,空間相關弱,難于壓縮的特點,本文充分利用了高光譜遙感圖像的譜間相關,設計出對相鄰譜段進行並將殘差均方降為最小的一種最佳線性預測器
  9. The quantized lp coefficients are replaced by the unquantized lp coefficients in the frequency domain expression of the feel weighted filter. the error signal has more similar envelope shape, and the hearing effect is better than before because the unquantized lp coefficients have more accuracy than quantized lp coefficients

    由於未量化的系數具有更高的精度,因此,誤差信號通過修正後的感覺加權濾波以後,具有與語音信號譜更加相似的包絡形狀,從而更好地利用共振峰對誤差的掩蔽效應,達到更佳的主觀聽覺效果。
  10. With the flying development of voica synthesis technique, desiging voice synthesis device at low price is in the face, therefore we devise voice respinsive system which uses coice synthesis processor as core chip in this paper and can turn numeric information into voice export using linear forecast coding technique, and we gain satisfying effect

    隨著語音合成技術的飛速發展,設計低價格的語音合成裝置已迫在眉睫,因此本文設計了以語音合成處理為核心晶元的語音應答系統,我們利用編碼技術把數字信息變成語音輸出,獲得了滿意的效果。
  11. The primary works and innovations of this paper include but not limited to : ( 1 ) considering the nonlinear, time - varying and uncertain characteristics of networks, a new active queue management ( aqm ) algorithm, i. e. nnpc - aqm was proposed based on predictive control theory, which requires less model accuracy. in order to realize fast control, a predictor was constructed using two - layer linear neural network to predict the future queue length, and a controller was composed using two layers of nonlinear neural network to optimize the next control volume, i. e. drop probability

    本文研究的主要內容及創新點如下: ( 1 )針對網路的非、時滯、不確定特點,結合控制理論提出一種新型主動隊列管理( aqm )策略nnpc - aqm ,該演算法基於單值控制思想,為了實現快速控制,採用兩層神經網路構造,估計未來時刻隊列長度;採用兩層非神經網路組成控制,實現對下一步丟棄概率的優化。
  12. Introducing same ideas on future design high performance branch prediction, including manufacture technology, depth of pipeline, micro - architecture and so on. 5, research selective dual path execution architecture. introducing hardware mechanism of multi - path execution, including branch forking strategy and branch prediction confidence

    4 、分析了高能轉移設計中的問題;對未來設計高能轉移所面臨的問題以及解決這些問題的可能的辦法,包括製造工藝、流水的深度和處理的微體系結構等5 、對選擇雙路徑系統結構的分析;介紹選擇雙路徑執行中的硬體機制?轉移置信度評估和選擇轉移策略。
  13. Abstract : an integrating model combining the artificial neura l network with the linear arx model and its identification method is proposed. based on that model, a multivariable nonlinear predictive control algorithm is persented. the algorithm employs the result of the linear predictive control, obtains explicit nonlinear optimal controlling inputs and doesn " t need on - line numerical optimizing which is necessary in general nonlinear model ( including ann model ) predictive control. that greatly decreases on - line computing consumption, strengthens the reliability of the algorithm and the stability of the system. the simulation results in cstr are shown

    文摘:提出了一種由人工神經網路與arx模型相結合的集成模型,給出了其辨識訓練方法.以此模型為基礎,提出了一種多變量非控制演算法.它利用控制的成果,得到一解析式的非優化控制輸入,避免了通常非模型(包括普通人工神經網路模型)控制所需的在數值尋優計算,節約了在計算時間,提高了演算法的可靠和穩定.進一步給出了在cstr反應上的模擬實驗結果
  14. At first, from the discrete digital model of the speech generation, the basic of speech encoding technology is briefly introduced in this thesis. secondly, some key techniques in the linear predictive speech coder of g. 723. 1 arithmetic are discussed in detail

    本文首先從語音產生的離散數字模型出發,簡要敘述了語音編碼的技術基礎,詳細討論了g . 723 . 1標準的編碼聲碼的一些關鍵技術。
  15. The paper discussed the bandpass filters analysis method and the technology of linear prediction code , then reduced the lpcc and the mfcc parameters

    本文還介紹了語音信號分析方法中的濾波組分析方法和編碼技術,並推導了lpcc參數和mfcc參數。
  16. A one step adaptive linear predictor is used to predict the coming video traffic from users, and then the predicted results are used to help dba accurately distribute bandwidth to satisfy users ' needs

    該演算法利用自適應單步對未來到達的平均視頻流量進行,實時結果用於對下一個發送時隙的計算,使得帶寬分配演算法能夠充分滿足實時視頻流量需求。
  17. What ’ s more, we design a 3d prediction compression scheme. the scheme is based on our optimal linear predictor and we use jpeg - ls lossless compression algorithm to compress the residual images. the scheme costs less time in computing, but works much better than jpeg - ls algorithm and software winrar

    此外,用基於jpeg - ls的無損壓縮演算法對運用我們設計出的最佳線性預測器得到的殘差圖像進行壓縮,運算速度很快,壓縮比也大大優于jpeg - ls演算法和winrar壓縮軟體,具有很強的實用
  18. ( 2 ) wavelet networks are introduced to gpc. several nonlinear gpc algorithms based on wavelet networks are given : a nonlinear gpc base on predictive error compensation is designed, in which wavelet network is used to model the predictive error ; a new structure of multi - step predictive controller is constructed in which wavelet networks are used to identified the nonlinear directly ; a single - step predictive controller is given, in which a wavelet networks are used to estimate the parameters of the linear time - varying system. ; an a implicit gpc for nonlinear system is presented, in which wavelet networks are used to estimated the time - varying parameters of the generalized predictive controller

    ( 2 )將小波網路與非廣義控制相結合,設計了多種基於小波網路的非廣義控制:考慮到建模誤差對多步報的影響,引入小波網路估計報誤差,對輸出報進行修正,提高了控制能且不影響系統的穩定;利用小波網路構造多步,設討了非系統多步控制演算法;利用小波網路逼近非系統廣義控制的時變參數,設計了非系統隱式廣義控制;利用小波網路辨識時變系統參數並直接用於構造控制,設計了非系統單步控制演算法。
  19. 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、語音信號的分析、矢量量化及其lbg演算法和感知加權濾波
  20. The generalized nonlinear predictive controller based on neural network is put forward by combining the theory of predictive control with generalized nonlinear pid method ; subsequently, the neural network inverse dynamic control method is introduced into predictive control

    提出了基於神經網路的廣義非控制;之後考慮將神經網路逆動態控制方法引入到控制中,提出了基於多步能指標函數的神經網路逆動態控制方法。
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