approximate entropy造句
例句與造句
- Information entropy and approximate entropy of sleep eeg
睡眠腦電的信息熵和近似熵 - Noisy speech endpoint detection based on approximate entropy
所以提出了一種基于線譜對系數(shù) - Effects of noise to the approximate entropy of the chaotic system
噪聲對混沌系統(tǒng)近似熵的影響 - Fast algorithm of dynamic approximate entropy and its application in heart rate variance analysis
動態(tài)近似熵快速算法在心率變異研究中的應(yīng)用 - Based on the introduction of approximate entropy and human activity effect e , runoff series complexity of the yellow river was analyzed
摘要在引入近似熵并給出人類活動影響程度e的基礎(chǔ)上,對黃河徑流序列的復(fù)雜性進(jìn)行了分析。 - It's difficult to find approximate entropy in a sentence. 用approximate entropy造句挺難的
- In this article , the prime task is the reasarch of extraction airplane ’ s periodic signature of modulation , the approximate entropy , the norm entropy , obtaining the sensor confidence level as well as structuring realization target identification intellectualized type fusion model and the algorithm
本文主要工作是研究提取飛機(jī)目標(biāo)的調(diào)制周期特征,近似熵、范數(shù)熵,獲取傳感器可信度以及構(gòu)造實現(xiàn)目標(biāo)識別的智能化類型融合模型和算法。 - This algorithm uses approximate entropy index ' s projection pursuit based on real coding genetic optimize algorithm ( rcgoa - pp ) to project the targets information hided in the high - dimensional data into low - dimensional space and then extract small targets with histogram image segmentation method
該算法用基于近似相對熵的實碼遺傳優(yōu)化投影尋蹤方法( rcgoa - pp ) ,有效地將高維數(shù)據(jù)中隱藏的目標(biāo)信息集中投影到低維空間中,并用直方圖分割的方法提取出小目標(biāo)。 - Based on a large amount of experimental data , nonlinear analysis , such as complexity theory , and approximate entropy ( apen ) which is adopted systematically in the fluidization research the first time , are implemented in the time series analysis of pressure fluctuation and particle concentration in gas - solid fluidized beds , and the nonlinear characteristics of fluidized beds are discussed comprehensively
本文在大量實驗數(shù)據(jù)基礎(chǔ)上,將非線性方法,包括復(fù)雜性理論,以及首次被系統(tǒng)引入流態(tài)化研究的近似熵,應(yīng)用到氣固流化床壓力及顆粒濃度脈動時間序列分析中,較為系統(tǒng)地探討了流化床的非線性特征。 - We reconstructed the phase space and calculated the nonlinear parameters such as correlation dimension , the largest lyapunov exponent , approximate entropy , and l - z complexity of the data . it can be conclud from the results that the reconstruction of heart beat rate signal is strange , its correlation dimension is between 5 to 7 and have the character of fractal dimension , its largest lyapunov exponent is larger than zero , its approximate entropy and l - z complexity are obviously differ from noise . we can draw a conclusion from all above : the heart beat rate signal is n ' t simple noise , it is high dimensional chaos obeys certain dynamical law
我們還對信號進(jìn)行了相空間重構(gòu),計算了信號的關(guān)聯(lián)維數(shù)、最大lyapunov指數(shù)、近似熵和復(fù)雜度這幾個非線性特征量,我們發(fā)現(xiàn),心率信號的吸引子是奇怪吸引子,關(guān)聯(lián)維數(shù)介于5到7之間,具有分維的特征,其最大lyapunov指數(shù)大于0 ,其近似熵值和復(fù)雜度值明顯區(qū)別于噪聲,這說明心率信號不是隨機(jī)噪聲,它是服從確定性動力學(xué)規(guī)律的高維混沌信號。 - At first , construct ten sets of surrogate data for each emg data , then calculate the correlation dimension ( dcorr ) , correlation time , maximum lyapunov exponent ( a , ) , l - z complexity and approximate entropy ( apen ) of both the original emg data and surrogate data , and then compare them
構(gòu)造這四例肌電信號的代替數(shù)據(jù)(各十組) ,分別計算原數(shù)據(jù)及其代替數(shù)據(jù)的關(guān)聯(lián)維、關(guān)聯(lián)時間、最大李雅普諾夫指數(shù)、 l - z復(fù)雜度和近似熵,我們發(fā)現(xiàn),四例原數(shù)據(jù)的以上所有特征量都與各自所對應(yīng)的十組代替數(shù)據(jù)存在明顯差別。 - In this paper , we studied the deterministic mechanism of isi with the unstable period orbit ( upo ) ; we tested many isi data from different model with the method of approximate entropy ( apen ) to study the method which is used in testing the degree of complicacy of isi and we built up a system including hardware and software for our lab to view and record action potential , firing frequency and isi in real time . results 1 . spontaneous firing patterns were observed from neurons of supraoptic nucleus ( son ) in hypothalamus with the method of patch clamp
本研究通過對大鼠視上核神經(jīng)元自發(fā)放電的非穩(wěn)定周期軌道的計算,討論了isi的確定性問題;利用近似熵的方法對多種神經(jīng)放電的isi資料進(jìn)行了復(fù)雜度的測量,討論了這種方法在isi的復(fù)雜度測量第四軍醫(yī)大學(xué)碩士論文中的應(yīng)用;另外,還開發(fā)出一套記錄原始放電和isi的程序,解決了采集isi的問題。 - This paper studies the helicopter , the propeller - driven aircraft and the turbofan jet airplane echo modulating feature parameter model and analyses the echo signal feature . it gains the target echo ’ s the cyclical modulation feature by using the complex ar frequency range bispectrum slice . because traditional method in extraction airborne radar ’ s radiant signal feature time has certain insufficiency , this paper proposes the approximate entropy and the norm entropy as the passive feature parameter in the airplane
由于傳統(tǒng)方法等在提取機(jī)載雷達(dá)輻射源信號特征的時候存在著一定的不足,本文提出把近似熵和范數(shù)熵作為飛機(jī)目標(biāo)識別的無源特征參數(shù),給出了提取相應(yīng)特征熵的算法,實現(xiàn)對機(jī)載雷達(dá)輻射源信號的識別,通過和機(jī)載雷達(dá)類型的匹配,實現(xiàn)對目標(biāo)的識別。