time series projection 中文意思是什麼

time series projection 解釋
時間序列預測
  • 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 ...
  • series : n 〈sing pl 〉1 連續；系列。2 套；輯；叢刊；叢書。3 【生物學】區；族。4 【植物；植物學】輪；列；...
  • projection : n 1 射出，投擲，發射，噴射。2 投射；投影，投影法；（地圖）投影圖製法；【電影】放映。3 凸出；凸出...
  1. When applied in the analysis of high - dimensional bifurcations and structural stabilities a series of coordinate plane projection ( cpp ) transformations are done firstly. then investigate the property of the original system through these 2 dimensional time - varying linear subsystems. the fine structure and mechanism are explored with tspdr

    Tspdr應用於高維分岔、結構穩定性的分析時，先對原系統進行cpp變換，然後通過對一系列2維時變線性系統的分析來研究原系統的性質，觀察其微觀結構，揭示其運動機理。
  2. By taking advantages of epipolar line features and depth discontinuities in reference 中國科學院 軟件 研究所 博士 學位 論文 基于 圖 象 的 快速 繪制 技術 的 研究 images ， an efficient inverse wmping algorithm is pfoposed in chapter 3 for gcnerating nagcs of novel views by combining multiple eference images 帆 enhm different vie 呷 oints because continuous segnents determi 。 d by pairs ofedge pixels at co 。 spending epipolar lines are order kept ， only pairs of edge pixels in the reference 渝 明 e e necess 叨 口 cowute to obtain generalized disparity of all points in the desired image as a result ， sighficant acceleraion could be made in the endering pfo 比 鴕 two accelerating techiq 此 s e presented in this algori 山 mb accelerate the hole illing process his algorithm extends the reference images rom projection of single col ： ii ’ ected surface in previously developed nvnverse w 出 下 er to ima 驢 s captured rom complex scene in chapter 4 ， an 《 dent ibr method is prese 庇 仙 y takn ull 訕 antage of 呷 bies c 咖 the method can simulate the 3d details on sllri ： ace of object successfully he 。 叩 proach ， called rered ature mopmp consists of two pans at fst ， an origi 。 ltexture with orthogonal displacements per pixel is deco 啊 osed into a series of new t6 刀 mfcs with each 他 lug a given displacement per pixel ， called ae ， ea atures ， or lt hen hese lt e used to render the novel view by conventional texture mapping d avoid gaps n the endered hlla 驢 ， some phels are to be interpolated nd extended in the 廠 kaccoding to the depth differe eee between two neighbor pixels in the original texture as these ltlt fc … e much storage nd therefore much time is equired to install ltlt into the text ’ ufc buffec an 舊 thod is pfoposed to co 呷 fcss the ltlt ， nd the cottcspondingfclldering method is given experimental esults show that the new method is efficient ， especially n rendering those objects with a smaller depth rnge compared withtheir size ， such as relief surfaces of building

    與己有的三維變換方法相比較，該方法不但成功地填補了由於投影區域擴張而產生的第一類空洞，而且成功地填補了由於空間深度非連續物體相互遮擋而產生的第二類空洞，從而方便地實現了虛擬環境中的漫遊；基於物體表面深度的連續性，本文提出了一個位移預測方法? ?此方法可以從單幅參考圖象獲得逆映射過程中所需要的目標圖象的位移信息，從而大大提高了演算法的效率：與通常的正向映射演算法相比，此演算法克服了多幅參考圖象所帶來的計算量成倍增長等問題，而且誤差較小。 2 ）基於極線幾何的快速逆映射演算法。利用參考圖象的邊界信息與隱含的遮擋關系，以及極線幾何的性質，本文第三章提出了一個基於極線幾何的快速3 『一中國科學院軟體研究所博士學位論文基於圖象的快速繪制技術的研究逆映射演算法，從多幅參考圖象精確合成當前視點目標圖象。
  3. Time delay was chosen by using autocorrelation function method and mutual information method, while reconstruct dimension was obtained by g - p saturation correlation dimension method and false nearest neighbor percentage method. furthermore, initial neighborhood radius was computed by the estimated noise level based on the g - p saturation correlation dimension method. secondly, a noise reduction of the inflow time series was carried out by chaotic nonlinear local projection noise reduction method, and the effects on noise to chaotic characteristics and state reconstruction parameters were discussed

    採用g - p關聯維法計算關聯維數； rosenstein法和kantz法計算最大lyapunov指數；重構相空間的延遲時間採用了自相關函數法和互信息量法；嵌入維數採用了飽和關聯維法和偽鄰近點法；初始領域半徑的選取採用了基於g - p關聯維法的噪聲水平的初始估計方法。
  4. According to the data of the covariance - stationary stochastic time series, we can get the state space modeling algorithm quickly and stably by singular value decompositi on and orthogonal projection. this algorithm will be faster and more stable

    在已知平穩隨機時間序列樣本數據的情況下，論述了如何採用正交投影演算法和正交奇異值演算法建立隨機時間序列的狀態空間模型和狀態矢量估計，這種數學建模方法對于船舶機艙中的系統數學建模有很大的幫助
  5. Tested the volterra series " anti - noise performance. bring out the local projection method to reduce additional noise of chaotic time series in phase space

    引入基於相空間的局部投影法對帶噪的混沌時間序列進行了降噪處理，明顯提高了volterra級數模型的抗干擾性能。
  6. It ' s a problem of great significance how to filtering a signal in joint time - frequency domain and reconstruct the time series from the time - frequency plane selected. in this thesis, the theory of joint time - frequency analysis and synthesis and time - frequency filtering is investigated. two kinds of new time - frequency domain filtering methods are proposed based on adaptive decomposition and linear subspace projection

    本文在系統學習現有的各種時頻分析及其綜合演算法的基礎上，詳細研究了時頻域濾波的核心思想和基本方法，吸取了自適應時頻分析和線性子空間投影wigner - ville變換的優點，提出了的兩種新的時頻域濾波方法，並通過理論分析和數字模擬完成了相應的數值特性與應用特性研究。
  7. The approximation property of projection pursuit wavelet neural network ( ppwnn ) which is applied to non - linear function is studied, the convergence rate is given in this paper also. 3. we demonstrate projection pursuit wavelet neural network ( wppnn ) has a good applicability by the approximation of five non - linear functions and the prediction of sunport and chaos time series and the use of edge detection

    主要工作如下： （ 1 ）建立了投影尋蹤小波神經網路的數學模型、拓撲結構及非線性學習機理； （ 2 ）證明了投影尋蹤小波神經網路可以逼近非線性函數，並給出了其收斂速度； （ 3 ）通過投影尋蹤小波神經絡對五種非線性函數的逼近和對太陽黑子、混沌時間序列的模擬預報以及投影尋蹤小波學習網路在圖象邊緣檢測中的應用，說明該網路具有很強的實用性。
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