gaussian distribution造句
造句與例句
手機(jī)版
- The gaussian distribution is the familiar bell-shaped curve .
高斯分布是常見(jiàn)的鐘罩形曲線。 - However , price changes actually do not follow gaussian distributions
但是價(jià)格變得并不服從正態(tài)分布。 - 9 . on the consideration of jitter with gaussian distribution and multi - ga
針對(duì)相位抖動(dòng)的高斯分布和多高斯分布 - Gaussian distribution profile
高斯摻雜分布 - The normal distribution tutorial : a tutorial on the normal or gaussian distribution
常態(tài)分布講解:常態(tài)或高斯分布的講解。 - In this paper , a new spectral subtraction method is presented , which breaks the assumption that the noise is gaussian distribution with mean 0 in the original spectral subtraction method
本文針對(duì)譜減法中關(guān)于噪聲是零均值的高斯分布的假設(shè),提出了一種可以打破這一假設(shè)的改進(jìn)譜減算法。 - Ill 2 , xi ' an university of technology 2 . at the same holding temperature , when the holding time increased , the equal - area - circle diameter trended to uniform , and the distribution of the roundness approached to gaussian distribution
2 、相同等溫溫度條件下，改變等溫時(shí)間，等積圓直徑的分布隨時(shí)間的延長(zhǎng)趨向均勻，晶粒球化度接近于正態(tài)分布。 - Applications : as data is modelled as finite mixture of t - distributions , t - ppca is robust in application . comparing with the use of gaussian distribution , our approach does give better results , as is shown by the experiments in chapter 5
應(yīng)用方面：我們用多元t分布的有限混合作為數(shù)據(jù)模型，保證了t - ppca的穩(wěn)健性，從而比gaussian - ppca更具實(shí)用價(jià)值。 - We apply generalized gaussian distributions to statistically model the dct coefficients of different natural images . as a result of our work , fast estimating expression for channel model parameters are derived
我們用廣義高斯分布去作為自然界圖像經(jīng)過(guò)dct變換后的分布模型，作為我們工作的結(jié)果，信道模型參數(shù)的快速估算表達(dá)式被推導(dǎo)并和實(shí)驗(yàn)結(jié)果進(jìn)行了比較。 - Although the above two methods own pretty good filtering performance when system noise and observation noise are non - gaussian , their filtering performance will descend or even diverge when non - gaussian distribution occurs
上述兩種方法在當(dāng)系統(tǒng)噪聲和觀測(cè)噪聲滿足高斯分布特性的時(shí)候具有較好的濾波性能,而對(duì)于非高斯分布噪聲上述濾波方法的指標(biāo)下降,甚至出現(xiàn)發(fā)散。 - It's difficult to see gaussian distribution in a sentence. 用gaussian distribution造句挺難的
- By applying generalized gaussian distribution to statistically model the alternating current coefficient of discrete cosine transform , the technology of the blind image watermark is studied and the performance of the new detector is analyzed
摘要根據(jù)數(shù)字圖像離散余弦變換域交流系數(shù)的廣義高斯分布模型，對(duì)盲圖像水印技術(shù)進(jìn)行研究，并給出了水印檢測(cè)器檢測(cè)性能的理論分析結(jié)果。 - The article analyses whether the theory of emh market can explain some phenomena on capital market . we provide some evidence for the non - normal , non - gaussian distribution , auto - correlation , non - linear and heteroskedasticity character of stock price
文章就有效市場(chǎng)假說(shuō)( emh )對(duì)現(xiàn)實(shí)資本市場(chǎng)的解釋能力進(jìn)行了分析，發(fā)現(xiàn)我國(guó)股票市場(chǎng)的股價(jià)收益率序列具有非正態(tài)性、自相關(guān)性、非線性、異方差性等特點(diǎn)。 - The transient process of imm is analyzed via monte carlo simulation . simulation results shows that the residual of each filter in imm is still gaussian distribution , but its mean is not zero if the dominating filter cannot match the real target model . 2
仿真結(jié)果表明， imm中各子濾波器濾波殘差基本服從正態(tài)分布，但其均值隨濾波模型與系統(tǒng)實(shí)際運(yùn)動(dòng)模式匹配程度變化而變化，即二者匹配時(shí)，濾波結(jié)果無(wú)偏；不匹配時(shí)，濾波結(jié)果有偏。 - Based on unsupervised learning , sparse coding is suitable to describe images with non - gaussian distribution and can get rid of the high order redundancy among the image pixels . since the basis function of sparse coding has build - in clustering property , it increases the inter - class variations of the features
稀疏編碼是一種基于非監(jiān)督學(xué)習(xí)的算法，它適合描述具有非高斯分布的數(shù)據(jù)對(duì)象，能夠有效地消除圖像象素點(diǎn)之間的冗余，并具有內(nèi)在的聚類特性。 - Non - gaussian distribution and noniinear , auto - - correlation and heteroskedasticity character of stock price and return rates , presented that main factors leads to the failure of emh on chinese stock market is emotionai action , information - - based herding , over - - reaction and under - reaction to information of investors and noniinear , non - equiiibriurn propefty of stock market
提出有效市場(chǎng)理論失靈的主要原因是投資者的非理性行為，信息反映的羊群效應(yīng)，投資者存在反應(yīng)過(guò)度和反應(yīng)不足現(xiàn)象，股票市場(chǎng)的非均衡特征和股票市場(chǎng)的非線性特征。 - Based on the study of strength degradation of material in the fatigue process , a strength degradation model is proposed . a stochastic differential equation , which controls strength degradation , is obtained from the model randomized by markov process . by using the theory of stochastic , the distributions of residual strength at any given lifetime and lifetime of any given residual strength are attained . under a few suitable hypotheses , inverse gaussian distribution of fatigue life is derived , and verified by means of experimental data . the result shows that the model and the method are reasonable
在研究疲勞過(guò)程中材料強(qiáng)度退化規(guī)律的基礎(chǔ)上,建立了一個(gè)強(qiáng)度退化模型.對(duì)其進(jìn)行隨機(jī)化處理,得到控制強(qiáng)度退化過(guò)程的隨機(jī)微分方程.在一定假設(shè)條件下,獲得了剩余強(qiáng)度概率密度函數(shù)的封閉解,并推導(dǎo)出疲勞壽命的反高斯分布形式.給出一種考慮損傷狀態(tài)對(duì)隨機(jī)漲落影響的近似處理方法.與試驗(yàn)數(shù)據(jù)的比較結(jié)果表明,本文的模型和方法是合理的 - Then compound - gaussian distribution model is been introduced and the three adaptive algorithms been derived from the model . by using simulation data and ipix radar sea clutter data that is been added target signals the performances of the detection algorithms are been simulated and analyzed . the same conclusion and the adaptive algorithms " effectiveness are been shown
接著介紹了復(fù)合高斯分布模型,在此模型基礎(chǔ)上推導(dǎo)得到了三種自適應(yīng)檢測(cè)算法,通過(guò)使用仿真數(shù)據(jù)和ipix雷達(dá)實(shí)測(cè)海雜波數(shù)據(jù)加入目標(biāo)信號(hào)對(duì)三種算法檢測(cè)性能進(jìn)行了仿真分析和比較,得到了相一致的結(jié)果,證明該算法的有效性。 - Firstly , according to the characteristic that the doppler frequency shift signal can be approximated as a single sinusoid signal , the extended sinusoid signal retrieval ( pisarenko and esprit ) methods are presented and signal state and measurement formulations are developed , so the kalman filter recursive method is got . the brief introduction of low velocity moving target doppler frequency shift signal wigner - ville transformation and wavelet transformation expression are presented in this paper . secondly , because the clutter is gaussian distribution , cumement and high - order spectrum based methods are presented and the simulation results prove their good performance to suppress gaussian clutter in low velocity moving target doppler frequency shift signal processing
一個(gè)方面是根據(jù)低速目標(biāo)的多普勒信號(hào)可簡(jiǎn)化為單一正弦波形式這一特點(diǎn)，得到了擴(kuò)展的高斯色噪聲背景下的諧波恢復(fù)算法，即高斯色噪聲中的pisarenko諧波恢復(fù)法和旋轉(zhuǎn)因子不變法（ esprit ） ；并推導(dǎo)了信號(hào)的狀態(tài)方程和觀測(cè)方程，進(jìn)而得到基于卡爾曼濾波的遞推算法對(duì)信號(hào)進(jìn)行提取；本文還簡(jiǎn)單的介紹了低速運(yùn)動(dòng)目標(biāo)的多普勒頻移信號(hào)的wigner - ville變換與小波變換；另一個(gè)方面是針對(duì)雜波服從高斯分布這一特點(diǎn)，提出了對(duì)接收信號(hào)求累積量和高階譜來(lái)對(duì)高斯雜波進(jìn)行抑制。 - Based on survey data from some researches , dead load model and vehicle load model are presented in this paper . it is quite evidence that dead load model is gaussian distribution , and vehicle load is non - gaussian distribution , which operates general traffic and rush hour traffic states
本文在國(guó)內(nèi)外各種調(diào)查資料的基礎(chǔ)上，分別引入恒荷載模型及車輛荷載模型，其中恒荷載呈正態(tài)分布：車輛荷載則為非正態(tài)分布，并將其分為一般運(yùn)行狀態(tài)及密集運(yùn)行狀態(tài)兩種情況，分別建立服役期最大值分布函數(shù)。 - Abstract : based on the study of strength degradation of material in the fatigue process , a strength degradation model is proposed . a stochastic differential equation , which controls strength degradation , is obtained from the model randomized by markov process . by using the theory of stochastic , the distributions of residual strength at any given lifetime and lifetime of any given residual strength are attained . under a few suitable hypotheses , inverse gaussian distribution of fatigue life is derived , and verified by means of experimental data . the result shows that the model and the method are reasonable
文摘:在研究疲勞過(guò)程中材料強(qiáng)度退化規(guī)律的基礎(chǔ)上,建立了一個(gè)強(qiáng)度退化模型.對(duì)其進(jìn)行隨機(jī)化處理,得到控制強(qiáng)度退化過(guò)程的隨機(jī)微分方程.在一定假設(shè)條件下,獲得了剩余強(qiáng)度概率密度函數(shù)的封閉解,并推導(dǎo)出疲勞壽命的反高斯分布形式.給出一種考慮損傷狀態(tài)對(duì)隨機(jī)漲落影響的近似處理方法.與試驗(yàn)數(shù)據(jù)的比較結(jié)果表明,本文的模型和方法是合理的
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