sampling algorithm 中文意思是什麼
sampling algorithm
解釋
采樣演算法-
Third, this dissertation analyzes the complicacy of result size estimation problem for xml structure based query optimization compared to its counterpart in traditionally relational database, and proposes a full - featured result size estimation algorithm for xml query, sxm. for simple path expression query, this dissertation proposes a dynamic synopsis model for xml data based on the concept of f - stable and b - stable, xmap. for complicated path expression query, this dissertation adopts an improved bifocal sampling method for result size estimation
第三，分析了xml結構化查詢優化中的查詢代價估計問題與傳統關系型數據庫中的查詢代價估計問題的區別，提出了一套完整的xml結構化查詢代價估計體系sxm ，包括對簡單路徑表達進行查詢代價估計的動態xml數據統計模型xmap ，對復雜路徑表達進行查詢代價估計的雙焦點例舉法，以及對值匹配條件進行查詢代價估計的基於小波的多維直方圖方法，並能將多種查詢表達的查詢代價估計結果結合在一起，以給出一個完整的xpath查詢的代價估計。 -
In accordance with the problem that the fcm algorithm is quite time - consuming for search out cluster cancroids and may not be suitable for on - line modeling and control. this dissertation proposed an improved fuzzy identification method based multistage random sampling fuzzy c - means clustering algorithm ( mrfcm ). it has higher approximate precision and the cpu time has slowed down sharply compared with the common fuzzy
Johnyen和liangwang介紹了幾種應用於模糊模型的信息優化準則，本論文在此基礎上對統計信息準則進行一些改進，並與快速模糊聚類和正交最小二乘方法結合，提高了模型的辨識精度和泛化能力。 -
This article discussed ar modeling method, capon method, music method and mn method four kinds of high resolution algorithms principle and has separately made the computer simulation in the ideal situation to the above four algorithms. through the comparison, the beam width of high resolution algorithm is much narrower than conventional beamforming method. then unifies the actual utilization, discussed the influence of time delay unbalance, time domain sampling, plane wave supposition and array element with scope and phase not identically to the beamforming and made the computer simulation
本文首先討論了ar模型法、 capon法、 music法和mn法四種高解析度演算法的原理，在理想的情況下分別對上述四種演算法作了計算機模擬，通過比較，高解析度演算法的束寬比常規波束形成法窄得多;然後結合實際運用時的情況，重點探討了延時失配、時域抽樣、平面波假設和基陣的幅相不一致對波束形成的影響並做了計算機模擬。 -
In digital relay, the percentage of noise will increase rapidly with the increase of sampling rate when derivation calculus is substituted by sampled difference term. to solve this problem, a new method using fragment function integrated with the least square algorithm is proposed in this paper. the influence of white noise is greatly reduced and the accuracy of the dead angle calculation is nicely improved after adopting the new method
在數字式保護中，如果用差分代替求導將導致噪聲的百分比誤差隨著采樣頻率的提高而劇增，本文對此進行了分析並提出了用分段樣條函數最小二乘法來計算電流波形的導數值，以便在提高采樣率的同時降低噪聲誤差的影響，並將其應用於基於32位浮點dsp的新型變壓器保護裝置。 -
It makes sampling data regularized by means of man - machine interactive mode and procedure method, respectively. the driven data of the cutter guide is generated, which is based on sampling data processed. it proposes an intelligent data reduction algorithm which bases on the combination of straightness of curves, equidistance and distance deviation principle
首先採集並分析了內輪廓數據，分別運用程序處理方式和人機交互方式實現采樣數據點的規則化處理;根據處理后的測點數據生成磨頭驅動數據;並提出了一種基於曲線曲率、等距及距離偏差帶的自適應數據壓縮方法。 -
Based on fractional sampling method, a new super - exponential iteration decision feedback blind equalization algorithm for severely nonlinear phase distortion channels was proposed
因此針對嚴重頻率衰落和非線性相位失真通道，提出了一種分數采樣的混合盲均衡演算法，並獲得了較快的收斂速度和較小的剩餘均方誤差。 -
Combining the generating method of molecular reflective thermal velocities according to diffuse reflection model, an algorithm named as inverse temperature sampling ( its ) is developed, which enables to evaluate the molecular reflective characteristic temperature from the molecular incident energy and the boundary heat flux
在此基礎上，通過結合壁面漫反射模型下分子反射速度的抽樣方法，發展了一種從邊界熱流求得與壁面碰撞分子的平均反射特徵溫度的逆溫度抽樣演算法。 -
Fpga and dvb standard are introduced firstly, dvb - c standard and composition of its system are analyzed completely, development of modulator structure and dvb - c digital modulator composition are presented, more over, analysis of respective modular are given. then, principle of dvb - c digital modulator system are presented, they are error control technique 、 mqam 、 nyquist rule and root raised cosine filter 、 window design method for fir filter 、 multi - rate signal processing ( integer interpolating, conversion of fractional sampling, equal conversion of net structure, polyphase structure for filter, poly - phase structure for interpolator, multi - stage implementation of samplying conversion ) 、 distrubited algorithm 、 cic filter 、 dds 、 cordic algorithm
接著，專門利用一個章節闡述了dvb - c前端調制系統原理，他們了差錯控制技術、多進制調制（ mqam ） 、 nyquist準則與平方根升餘弦濾波器、有限沖擊響應濾波器的窗函數設計法、多抽樣率信號處理包括（整數倍內插原理、分數倍抽樣率轉換、網路結構的等效結構、濾波器的多相表示、內插器的多相表示、抽樣率轉換的多級實現） 、分散式演算法、 cic濾波器、直接數字頻率合成（ dds ） 、 cordic演算法。 -
This thesis concentrates on the analysis of sampling rate changing ( decimation and interpolation ) ; the discussion of basic multirate signal processing theory ; the implementation of high efficient algorithm, which provides the bases for other algorithm development in this thesis
本文從頻域的角度深入分析了抽樣率變換的規律，並進一步研究了多抽樣率系統的高效實現方案和基本理論，為其它演算法的研究提供了必要的基礎。 -
There are three pro - processing : fractionize algorithm ; average sampling point algorithm ; normalization algorithm
用到的預處理演算法有：均勻采樣點演算法、細分演算法、規范化演算法。 -
In video shot segmentation, an improvement to double - threold shot segmentation algorithm is provided, which uses multi - frame sampling technique and can improve the performance significantly on the detection of gradual transition. an abrupt transition detection algorithm is also developed on the basis of the closest pixels matching in spatio - temporal slice, which decreases the false rate and computing strength greatly
在視頻鏡頭分割方面，提出了一種基於多幀抽樣的雙重比較鏡頭分割演算法，有效地提高了對視頻鏡頭漸變檢測的性能;同時，針對視頻鏡頭突變的檢測，提出了一種基於最近鄰像素匹配的時空切片鏡頭突變檢測演算法，該演算法顯著降低了突變檢測的虛檢率和計算量。 -
In this text, we first do some research on the genetic algorithm about clustering, discuss about the way of coding and the construction of fitness function, analyze the influence that different genetic manipulation do to the effect of cluster algorithm. then analyze and research on the way that select the initial value in the k - means algorithm, we propose a mix clustering algorithm to improve the k - means algorithm by using genetic algorithm. first we use k - learning genetic algorithm to identify the number of the clusters, then use the clustering result of the genetic clustering algorithm as the initial cluster center of k - means clustering. these two steps are finished based on small database which equably sampling from the whole database, now we have known the number of the clusters and initial cluster center, finally we use k - means algorithm to finish the clustering on the whole database. because genetic algorithm search for the best solution by simulating the process of evolution, the most distinct trait of the algorithm is connotative parallelism and the ability to take advantage of the global information, so the algorithm take on strong steadiness, avoid getting into the local
本文首先對聚類分析的遺傳演算法進行了研究，討論了聚類問題的編碼方式和適應度函數的構造方案與計算方法，分析了不同遺傳操作對聚類演算法的性能和聚類效果的影響意義。然後對k - means演算法中初值的選取方法進行了分析和研究，提出了一種基於遺傳演算法的k - means聚類改進（混合聚類演算法） ，在基於均勻采樣的小樣本集上用k值學習遺傳演算法確定聚類數k ，用遺傳聚類演算法的聚類結果作為k - means聚類的初始聚類中心，最後在已知初始聚類數和初始聚類中心的情況下用k - means演算法對完整數據集進行聚類。由於遺傳演算法是一種通過模擬自然進化過程搜索最優解的方法，其顯著特點是隱含并行性和對全局信息的有效利用的能力，所以新的改進演算法具有較強的穩健性，可避免陷入局部最優，大大提高聚類效果。 -
Then, this thesis presents an algorithn of 2 - terminal quantity fault location based on synchronous gps sampling. this algorithm conducts fault location with only the 3 - phase fundemental wave voltage and current phasors of the 2 terminals of transmission lines and apples to lines of both symmetrical and asymmetrical parameters, irrelerant to the impedence, fault types and transitional resistance of the 2 terminals of lines
然後，本文提出了一種基於gps同步采樣的雙端量故障測距演算法。該演算法僅利用輸電線路兩端的三相基波電壓、電流分量來進行故障定位，不受線路兩端系統阻抗、故障類型、過渡電阻等因素的影響，對參數對稱線路和非對稱線路均適用。 -
Clustering algorithm based on random - sampling and cluster - feature
基於隨機抽樣和聚類特徵的聚類演算法 -
This algorithm laid the foundations of other sampling inference algorithms, such as importance sampling algorithm and like - hood weight sampling algorithm. in this paper, the description of accurate and complexities of some kinds of sampling algorithms are presented on the basis of introduction to basic concepts of bayesian networks. first, the mathematical foundations of them are given here in view of statistics
本文首先介紹了bayesian網的一般概念及推理任務，並主要著眼于bayesian網推理演算法的數學原理，提出了樣本平均值演算法，對幾種推理演算法從數學角度做出本質性的刻畫，給出各自的復雜度和精確度的理論分析，證明了他們在各種情況下的推理效率。 -
Full cycle anti - aliasing synchronized sampling algorithm of phasor measurement units in wams
的完整周期抗混迭同步采樣方法 -
Adaptive importance sampling algorithm for fuzzy - random failure probability
考慮基本變量模糊與隨機性的廣義自適應重要抽樣法 -
In probability logic sampling algorithm, all random events were simulated a large number of times
通過實驗測試了四種演算法在各種情況下的推理時間。 -
A uniformly sampling algorithm of three - dimensional segmented quadrilateral boundary domain and an uniformly distributed sampling point optimized method based on force equilibrium are presented. then on basis of the above researches, the smooth b - spline surface fitting is implemented
提出了一種空間四邊界區域的均勻采樣方法以及基於力平衡原理的采樣點均勻分佈優化方法，實現了三角網格模型的重新均勻采樣和參數化。 -
The paper research small - signal model of pfc circuit and build the simplified average - small - signal model of the system. the thesis develop design method of pi regulators which are applied in double closed - loops system. furthermore, the sampling algorithm of votage and current variables is also analysed in this paper
文中對pfc電路的小信號模型進行了研究，並建立了系統的簡化平均小信號模型，在此基礎上，以系統的動態特性和穩定性為設計指標，具體給出了雙閉環系統中pi調節器的設計方法。
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