抽樣演算法 的英文怎麼說
中文拼音 [chōuyàngyǎnsuànfǎ]
抽樣演算法
英文
sampling algorithm- 抽 : 動詞1 (把夾在中間的東西拉出; 提取) take out (from in between) 2 (從全部里取出一部分; 騰出) ...
- 樣 : Ⅰ名詞1. (形狀) appearance; shape 2. (樣品) sample; model; pattern Ⅱ量詞(表示事物的種類) kind; type
- 演 : 動詞1 (演變; 演化) develop; evolve 2 (發揮) deduce; elaborate 3 (依照程式練習或計算) drill;...
- 算 : Ⅰ動詞1 (計算數目) calculate; reckon; compute; figure 2 (計算進去) include; count 3 (謀劃;計...
- 法 : Ⅰ名詞1 (由國家制定或認可的行為規則的總稱) law 2 (方法; 方式) way; method; mode; means 3 (標...
- 抽樣 : [統計] sample; sampling; specimen; samples draw
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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。The disquisition includes choice of algorithm, accomplish of algorithm, collection of learning sample, parameter of net, shortcoming of bp algorithm, extraction and reduction form line etc. referring to shortcoming of traditional bp algorithm, a modified learning factor with adaptation is introduced. because of every different font has robust, the way based chain coded and knaggy feature is used. a bizarre sample feature database is constructed for speeding up modified bp learning and classification
本文對人工神經網路理論進行了研究,探討了網路形式及演算法的選擇、演算法的實現、學習樣本的收集、網路參數選擇、 bp演算法缺陷、表格線提取、還原、生成及字元識別、還原生成等問題,並針對bp演算法的缺陷提出了和實現了改進型bp演算法,使網路學習效率提高,對不同人的不同字型字體有較強的魯棒性,採用了基於鏈碼特徵和凹凸分佈特徵的方法來抽取字元特徵。Moreover, the block time - recursive 2 - d rdgt algorithms and their unified parallel lattice structure implementation are extended from 1 - d rdgt case. three applications of the rdgts are investigated : gabor representation for transient signals via the rdgts, mnr fid signal enhancement via the oversampled gabor transforms, representation and approximation of time - varying systems via the rdgts. the experimental results show the efficiency and advantages of the rdgts in applications
研究了基於實值離散gabor變換的瞬變信號表示演算法、基於過抽樣實值離散gabor變換的核磁共振fid信號增強演算法以及基於實值離散gabor變換的線性時變系統表示與逼近方法,實驗結果驗證了實值離散gabor變換在應用方面的優越性和有效性。Two block time - recursive algorithms are developed for the efficient and fast computation of the 1 - d rdgt coefficients and for the fast reconstruction of the original signal from the coefficients in both the critical sampling case and the oversampling case. the two algorithms are implemented respectively by a unified parallel lattice structure. and the computational complexity analysis and comparison show that the proposed algorithms provide a more efficient and faster method for the computation of the discrete gabor transforms
首先論證了一維rdgt系數求解演算法和由變換系數重建原信號演算法,不論是在臨界抽樣條件下還是在過抽樣條件下,都同樣具有塊時間遞歸特性,並提出了相應的塊時間遞歸演算法及其并行格型結構實現方法,計算機模擬驗證了并行格型結構實現的可行性,計算復雜性分析與比較也說明了rdgt塊時間遞歸演算法的并行格型結構在計算時間方面所具有的高速和高效性能。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。First, how to conduct sample and quantification of continuous time signal which is prior condition of sdr is explored in detail, and the comparison and analysis of some sample modes are given in which band pass signal sampling theorem is most important. second, multi - sample rate signal processing which is an important basis of sdr is studied. emphasis are put on decimation and interpolation those are the most fundamental process and the realization of decimation and interpolation filter
在基於中頻采樣的軟體無線電結構框架下,首先詳細探討了軟體無線電的前提條件,即如何對連續時間信號進行采樣量化,比較分析了幾種采樣的方式,其中最為重要的是帶通信號采樣定理;然後探討了軟體無線電的一個重要基礎,即多采樣率信號處理,重點討論其最基本的兩個過程抽取和內插以及抽取器和內插器的實現;接著介紹了結構簡單、適用於一級抽取的cic濾波器和適用於做2倍抽取的半帶濾波器;再次論文在總結了傳統的調制解調基礎上,結合軟體無線電器件的特點,系統的探討並實現了基於正交思想的am 、 fm 、 ask 、 fsk 、 bpsk 、 qpsk的正交調制解調演算法。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。With the flowchart the program can be divided into six parts and it includes initial flow field, computation of molecular motion, boundary treatment, re - sort of molecular, sample and computation of molecular collision. several cases have been simulated to certify the correctness of the program. dsmc method is improved using method of characteristics to modify the boundary condition and gets the goal as expected
首先,編程實現了基本dsmc方法對二維流動的計算,給出了所用演算法的原理、相關模型,並結合程序結構流程圖,分別介紹了初始化流場、計算分子的運動、邊界的處理、分子的排序、抽樣計算分子的碰撞、流場參數采樣統計各個功能模塊在fsmm2d中的實現,並對該程序進行了算例校驗。Random number generators are used in many areas including computer simulation, monte - carlo techniques on numerical analysis, test problem generation for the performance evaluation of computer algorithms, statistical sampling, and so on
隨機數發生器在很多領域有廣泛的應用,包括計算機模擬、數值分析上的蒙特卡羅方法、評估演算法的測試問題、統計抽樣等等。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If it is not good enough, optimal control module based on principle component analysis and clustering search will function for optimization. this algorithm makes no request for accurate analytical model and maintains search efficiency and self - adjusting performance by an optimal parameter set derived from process data, which is proved to be effective. by practical running of dcs, a prominent tracing performance is gained and variation of parameters is limited in a small range, which enhance stability and production benefit of sintering process obviously
燒結過程是一個影響因素復雜、干擾嚴重、具有不確定性的工業過程,傳統的基於對象精確解析模型的優化策略難以奏效,因此在控制參數優化模塊中提出了一種基於主元分析和聚類搜索的優化匹配演算法,該演算法不要求對象的精確模型,其搜索效率和自校正性能依賴于從生產過程歷史數據中抽取的優化參數樣本庫,充分利用了燒結生產過程積累的生產數據所包含的信息,取得了不錯的效果。A popular solution toimprove the speed and scalability of the association rule mining is todo the algorithm on a random sample instead of the entire database. buthow to effectively define and efficiently estimate the degree of errorwith respect to the outcome of the algorithm, and how to determine the samplesize needed are entangling researches until now. in this paper, an effective and efficient algorithm is given based on the pac probably approximate correct learning theory to measure and estimatesample error
關聯規則挖掘作為數據挖掘的核心任務之一,由於其任務本身的復雜性通常需要多次整個掃描數據庫才能完成挖掘任務且頻繁模式可能產生組合爆炸,使得從原始的大規模數據集上抽取一部分樣本,在其上尋找用戶感興趣的近似規則成為目前提高演算法效率和可擴展性的一種簡單有效的現實可行方法之一。The following algorithms have been proposed and tested in the thesis : 1 frequency selective fading : combine the isomorphism between the input space and the output space and propose a new approach to blind equalization of the channel. compared with conventional methods, the new approach offers lower computational complexity, better performance, and more robust against the over - determination of the system order ; 2 time selective fading : a new approach to the equalization of time selective channel based on the zero - forced equalizer is proposed which is more simple in its structure of algorithm ; 3 time - varying channel : using the instantaneous mean value changes of the output signal to extract the information of channel variations and model it using ar model, kalman filter is then employed to track channel variations, it bears faster ability in tracking the variation of tv channels ; based on the isomorphism between the inputs and the outputs and some of the approaches using in mimo system, a new algorithm of equalization of simo time - varying channel is proposed, which also share the merits of being robust against the over - determination of the system order ; model the time - varying channel using the multi - resolution decomposition wavelets, and then a blind identification method based " on the model is proposed ; at last, a new model for equalization and identification of mimo system is proposed
主要工作在以下幾個方面: 1 、針對頻率選擇性衰落通道:結合輸入輸出空間同構關系提出一種新的頻率選擇性通道均衡方法,與傳統方法相比,該方法計算量更小,收斂速度更快,性能更優,且對系統階次的過確定表現穩健,具有實際均衡應用價值; 2 、針對時間選擇性衰落通道:提出一種基於迫零均衡的時間選擇性通道均衡方法,演算法結構簡單; 3 、針對時變色散通道:利用瞬態均值曲線提取通道時變信息,對之ar建模,利用卡爾曼濾波器跟蹤時變通道抽頭變化,可以快速跟蹤通道變化;基於輸入輸出空間之間的同構關系以及多輸入多輸出系統的處理方法,提出了新的單輸入多輸出色散時變通道均衡與識別演算法,同樣具有對通道階次過確定保持穩健的優點;結合小波多解析度分析提出一種基於小波模型的通道盲識別演算法;研究時變的多輸入多輸出系統的盲均衡與盲反卷積問題,給出一種時變系統處理模型。This course examines how randomization can be used to make algorithms simpler and more efficient via random sampling, random selection of witnesses, symmetry breaking, and markov chains
這課程研究如何用亂數並透過隨意抽樣、隨機選擇證物、破壞對稱以及馬可夫鏈使得演演算法更簡單和更有效率。The former combines enumeration and sample technique and is easy to implement, but only definite failure modes are simulated, which may be inaccuracy with bulk power system in which high order failures and protection failures are the main cause to instability
基於蒙特卡羅抽樣的概率穩定模擬演算法可以考慮電力系統的高重隨機故障,並考慮故障間的相關性。模擬法可以模擬多重、連鎖故障對系統暫態穩定性能的影響。From theoretical analysis, we know the existing demodulation methods have limitations as following : one is that the subtraction of the two signals frequencies will display as the result of demodulation when we demodulate two time - domain adding signals without modulating information ( fault information ) ; the other one is that aliasing phenomenon will occur as a result of getting absolute value, detection or square in the process of generalized demodulation analysis, such phenomenon will result in some superfluous frequency composition on the frequency spectrum, which will puzzle the detec tion of mechanical vibration. if the sampling frequency is selected from a suitable range, the aliasing phenomenon will be avoided ; the last one is that aliasing frequencies will be produced in zoom demodulation analysis because this algorithm cannot employ digital low - pass filtering to avert the folding frequencies of higher harmonics in the process of zoom sub - sampling
現有的解調分析方法存在以下三種局限性:將不包括調制信息(故障信息)的兩時域相加信號,也以其頻率之差作為解調信號而解出;廣義檢波濾波解調分析中,由於取絕對值、檢波或平方過程可能產生混頻效應,在解調譜中表現為無法分析的頻率成分,並由此推導出避免這種混頻現象的采樣頻率的選取范圍,從根本上避免此類誤診斷的產生;幾種細化解調分析新演算法中,因為無法在細化分析的選抽時進行數字低通濾波,有可能會出現調制頻率的高次諧波成分發生頻率混疊而反折到低頻部分的現象。Our proposed approach is to split the dataset sample into two parts and change the strategy of scanning datasets into two loop, the inner loop and the outer loop. the scan of the dataset will become the outer loop and the scan of the draws from the posterior distribution
該演算法對數據集進行劃分,改變mcmc對數據集的掃描策略,將其分開為內、外兩個循環過程,外循環中掃描數據集,內循環掃描分佈函數的抽樣值。For example, to the general models such as follows : with the application of the serial important function and the gibbs algorithms in mcmc methods, i give some results in the choice of the important function and how to use the gibbs algorithms in the forecasting of the models
例如,對于如下一般模型:分別應用序列重要抽樣的方法和mcmc方法中的gibbs抽樣演算法對上述模型作預測,並且對于重要函數的選取和抽樣的可行性提出了幾個結論。分享友人