decomposition algorithm造句
例句與造句
- Discussion and improvement on empirical mode decomposition algorithm
經(jīng)驗(yàn)?zāi)Ｊ椒纸馑惴ǖ奶接懞透倪M(jìn) - Decomposition algorithm on structural dynamic inversion with incomplete input information
輸入未知情況下結(jié)構(gòu)復(fù)合反演的兩步法 - A dual decomposition algorithm for turbulent wake flows after blunt bodies using the wavelet packet method
鈍體尾流的雙重小波包分解 - Parallel domain decomposition algorithm based on schwarz chaotic relaxation for die casting mold filling simulation
混亂松弛法的壓鑄充型模擬并行分區(qū)算法 - Finite difference domain decomposition algorithm on unstructured triangular mesh for parabolic equation
一類無結(jié)構(gòu)三角網(wǎng)上拋物方程的有限差分區(qū)域分解算法 - It's difficult to find decomposition algorithm in a sentence. 用decomposition algorithm造句挺難的
- Based on the quantum genetic algorithm ( qga ) and the matching pursuit ( mp ) , a fast image sparse decomposition algorithm was put forward to reduce the amount of calculation
摘要為了減少圖像稀疏分解的計算量，提出了一種基于量子遺傳算法與匹配追蹤相結(jié)合的圖像稀疏分解快速算法。 - In chapter 5 , we extent the results of the finite difference domain decomposition algorithm of paper [ 13 ] for two dimensional heat equation and give some numerical results
在第五章，我們在二維熱傳導(dǎo)方程求解上擴(kuò)充了dawson等人的區(qū)域分解算法。給出了關(guān)于算法計算精度的數(shù)值結(jié)果。 - The famous mallat decomposition algorithm is applied . the correlations between the neighboring wavelet transform coefficients are utilized to restrain noises and the local maxima of the coefficients provide information of image boundaries
并利用相鄰尺度間小波系數(shù)的相關(guān)性和一種非線性函數(shù)進(jìn)行噪聲抑制，同時利用小波系數(shù)的模極大值來提取邊緣點(diǎn)。 - The thesis introduces two basic thinking in field of optic character recognition ( ocr ) , which is statistical - decision algorithm based on math characteristic of character and structure - decomposition algorithm based on physical characteristic of character
文字識別的原理和方法介紹了文字識別領(lǐng)域采用的一般方法和策略? ?基于數(shù)學(xué)特征的統(tǒng)計決策法和基于結(jié)構(gòu)特征的句法分析法。 - Numerical simulation signal and vibration acceleration signal of a roughing mill main drive speed reduction unit have been decomposed by using empirical mode decomposition algorithm ; each component has been carried on spectral analysis
摘要運(yùn)用經(jīng)驗(yàn)?zāi)Ｊ椒纸馑惴▽?shù)值仿真信號及某軋鋼廠粗軋機(jī)主傳動減速機(jī)振動加速度信號進(jìn)行了分解，從而得到若干個基本模式分量，對每個模式分量進(jìn)行了頻譜分析。 - Based on the idea of linkage identification , piecewise interval correlation by iteration ( pici ) linkage identification based population decomposition algorithm is presented in allusion to the deficiency of existing population decomposition methods in coevolutionary algorithm
摘要針對已有協(xié)同進(jìn)化算法種群分割方法的不足，借鑒連接識別思想，提出用分段間隔相關(guān)迭代連接識別進(jìn)行種群分割的算法。 - In chapter 2 , when the interface points decompose ( 0 , 1 ) with equal distance into multi - subdomains , there is given that a new error estimate result on the difference solution of the domain decomposition algorithm developed by c . n . dawson and others [ 13 ] for solving the heat equation
在第二章，我們在內(nèi)邊界點(diǎn)為等距分劃的多子區(qū)域條件下，得到dawson等人關(guān)于求解熱傳導(dǎo)方程區(qū)域分解算法差分解的誤差估計。 - In chapter 3 , a new decomposition algorithm for the heat equation is also developed by using saul ' yev ' s asymmetric schemes at the interface points , and the prior error estimates of the approximate solution is obtained . the results of the new algorithm is compared with that of the algorithm in [ 13 ]
在第三章，我們以saul ' yev非對稱格式作內(nèi)邊界處理，發(fā)展了的新的區(qū)域分解算法，得到了差分解的先驗(yàn)誤差估計，并與dawson等人的算法作了比較。 - The results of emulation and practical technical application indicate that time sequence components observed by empirical mode decomposition algorithm and frequency spec trum of them can reflect partial failure signature of gear adequately , at the same time , the weak signal feature can be easily extracted from them
仿真研究及實(shí)際工程應(yīng)用表明，采用經(jīng)驗(yàn)?zāi)Ｊ椒纸馑惴ê蟮玫降臅r序分量及其頻譜能夠很好地體現(xiàn)齒輪局部故障特征，具有很強(qiáng)的弱信號特征提取能力。 - Experimental results in different noises and snr indicated that this vad algorithm can divide speech segments from non - speech segments accurately and reduce voiced - unvoiced error obviously . ( 2 ) an improved dct - hn speech decomposition algorithm based on the harmonic - noise model is presented
不同噪聲、信噪比下的實(shí)驗(yàn)結(jié)果表明,該算法可以準(zhǔn)確區(qū)分語音段與非語音段,明顯降低了基音檢測中清濁誤判現(xiàn)象的發(fā)生; ( 2 )基于“諧波-噪聲”模型提出了一種改進(jìn)的dct - hn語音分解算法。
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