gaussian distribution造句
例句與造句
- 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。 - It's difficult to find gaussian distribution in a sentence. 用gaussian distribution造句挺難的
- 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。 - 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。
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