線性預測器 的英文怎麼說
中文拼音 [xiànxìngyùcèqì]
線性預測器
英文
linear predictor- 線 : 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...
- 性 : Ⅰ名詞1 (性格) nature; character; disposition 2 (性能; 性質) property; quality 3 (性別) sex ...
- 預 : Ⅰ副詞(預先; 事先) in advance; beforehand Ⅱ動詞(參與) take part in
- 測 : 動詞1. (測量) survey; fathom; measure 2. (測度; 推測) conjecture; infer
- 器 : 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
-
Linear prediction vocoder
線性預測聲碼器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?模擬一放熱反應器系統內的組成控制,將提出控制方法與非線性模式預測控製做比較性評價。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
溫度的在線檢測不能代替熱流的在線檢測,後者可更準確和直接地反映結晶器傳熱和坯殼厚度的均勻性;同時在線檢測結晶器的溫度和熱流有可能對結晶器的設備狀態(如結晶器的安裝狀況和水垢狀況)實現在線預測。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
以集成有值預測機制的亂序執行的超標量流水線模擬平臺為基礎,本文對先前研究提出的多種值預測器的性能影響進行了測試分析。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
經典的線性預測( lpc )聲碼器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。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預測誤差大的問題,採用多點最小二乘( ls )線性預測器加以改進,減小了軌跡的預測位置誤差,提高了目標軌跡的檢測概率。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預測並將預測殘差均方降為最小,然後用jpeg - ls演算法去除殘差圖像的相關性。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,空間相關性弱,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性,設計出對相鄰譜段進行預測並將預測殘差均方降為最小的一種最佳線性預測器。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
由於未量化的線性預測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器以後,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。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器為核心晶元的語音應答系統,我們利用線性預測編碼技術把數字信息變成語音輸出,獲得了滿意的效果。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 )針對網路的非線性、時滯、不確定特點,結合預測控制理論提出一種新型主動隊列管理( aqm )策略nnpc - aqm ,該演算法基於單值預測控制思想,為了實現快速控制,採用兩層神經網路構造預測器,估計未來時刻隊列長度;採用兩層非線性神經網路組成控制器,實現對下一步丟棄概率的優化。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 、分析了高性能轉移預測設計中的問題;對未來設計高性能轉移預測器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、流水線的深度和處理器的微體系結構等5 、對選擇雙路徑系統結構的分析;介紹選擇性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。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線性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線性預測控制演算法.它利用線性預測控制的成果,得到一解析式的非線性優化控制輸入,避免了通常非線性模型(包括普通人工神經網路模型)預測控制所需的在線數值尋優計算,節約了在線計算時間,提高了演算法的可靠性和穩定性.進一步給出了在cstr反應器上的模擬實驗結果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標準的線性預測編碼聲碼器的一些關鍵技術。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器組分析方法和線性預測編碼技術,並推導了lpcc參數和mfcc參數。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線性單步預測器對未來到達的平均視頻流量進行預測,實時預測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。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預測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,具有很強的實用性。( 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 )將小波網路與非線性廣義預測控制相結合,設計了多種基於小波網路的非線性廣義預測控制:考慮到建模誤差對多步預報的影響,引入小波網路估計預報誤差,對輸出預報進行修正,提高了控制性能且不影響系統的穩定性;利用小波網路構造多步預測器,設討了非線性系統多步預測控制演算法;利用小波網路逼近非線性系統廣義預測控制器的時變參數,設計了非線性系統隱式廣義預測控制器;利用小波網路辨識時變系統參數並直接用於構造控制器,設計了非線性系統單步預測控制演算法。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。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線性預測控制器;之後考慮將神經網路逆動態控制方法引入到預測控制中,提出了基於多步預測性能指標函數的神經網路逆動態控制方法。分享友人