The computing complexity and computing time of this algorithm is lower than that of existed algorithms 該算法比已有的塊三對角矩陣求逆算法的計算復(fù)雜度和計算時間低。
The proposed method can improve location accuracy without increasing communication traffic and computing complexity 該算法在不增加原算法通信量及計算復(fù)雜度的基礎(chǔ)上提高了定位精度。
The computing complexity of wi decoder is reduced greatly by this method , and the reconstructed speech quality keeps invariable meanwhile 該方法大大降低了wi解碼器的復(fù)雜度,同時保證了合成語音質(zhì)量沒有變化。
A hiding information algorithm of adaptive multiple plane - bit based on space domain was proposed , which has low computing complexity and large hidden information capacity 摘要提出了一種基于空間域的自適應(yīng)多平面位的信息隱藏算法,該算法計算復(fù)雜度低,信息隱藏量大。
Dynamic reduction problem is discussed and algorithm adding and reducing rules in the decision - making table dynamically are put foreword so as to reduce the computing complexity 一方面分析了動態(tài)自主知識獲取問題中的決策表動態(tài)約簡問題,確定了在獲得基本最小規(guī)則集后動態(tài)增加或減少規(guī)則的算法。
In order to minimize computing time , simplified prediction procedures are provided , which transform parameter seeking into arma process , and computing complexity and duration are decreased 為了減小計算量,本文對farima模型擬合的方法和具體步驟進行了深入的研究,簡化了運算步驟,提出了一種簡化的預(yù)測方法。
In long - range dependent case , a 5 - layer bp is applied to predict the network traffic . simulations show that , in terms of prediction , bp is more precise than farima , but at the cost of computing complexity 研究結(jié)果表明,該模型能夠較好地預(yù)測自相似業(yè)務(wù)流,特別是在預(yù)測精度上比farima模型要高,但是它的計算量較大。
The theoretical analysis and the computer simulation results both show that the computing complexity of the proposed algorithm is reduced and the proposed algorithm maintains the same performance compared with other algorithms 理論分析與計算機模擬結(jié)果表明,該方案不僅降低了運算復(fù)雜度,而且與其它算法的性能幾乎相等。
Using the improved algorithm in edge location , the computing complexity is reduced by avoiding search efforts when using two dimensions error table , and the measuring accuracy is increased 實驗數(shù)據(jù)表明,用誤差函數(shù)對定位邊緣進行誤差補償不但避免了使用誤差校正表帶來的復(fù)雜計算,而且重用性高,還大大提高了測量的精度。
Simulation has shown that the proposed scheme can effectively reduce the computing complexity and can save up to nearly 60 percent of coding time by decreasing the times of simulating decoding in encoder 仿真實驗表明,在相同信道條件及模擬隨機信道狀態(tài)個數(shù)下,提出的算法與h . 264標準算法相比,最多可節(jié)省近60的編碼器編碼耗時。