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svd SVD =swine vesicular disease...

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The current trends of this field is to acquire the current density of dipole distribution rather than a few dipoles . based upon that , a new model was proposed - dipole layer localization method ( dllm ) : spherical dipole layer was used as source model , on which dipoles were distributed by equilateral triangles ; three concentric inhomogeneous sphere was used as head model , which contains scalp , skull and cortex with different conductance . the dipole distribution and scalp potential tomography were obtained with singular value decomposition ( svd ) 鑒于該領域的研究趨勢已從求取少數偶極子過渡到偶極子分布密度的獲得,本文提出了新的模型? ?偶極面定位方法( dipolelayerlocalizationmethod , dllm ) :以等邊三角形均勻分布的偶極子構成的偶極面(球面)作為源模型;包括頭皮、顱骨和皮層的三層同心介質球作為頭顱模型,運用奇異值分解來求解逆問題,從而獲得偶極子分布和頭皮電位分布,實現三維成像。

From camera model , we deduce the relation between perspective model and affine model , discuss the properties of projective depths , introduce the general frame of projective reconstruction based on svd , analyze and realize the estimation of projective depths based on fundamental matrix and epipolar points 從攝像機模型出發,詳細推導了透視模型與仿射模型的關系,討論了射影深度的性質。介紹了基于奇異值分解( svd )的射影重構算法的一般框架,分析并實現了基于基本矩陣和極點的射影深度估計算法。

In chapter five to reconst ruct the three - dimensional object cubes , various deconvolution algorithms : nearest neighbor , inverse filtering and constrained iterative deconvolution are developed and applied to both computer generated and experimentally measured image cubes . the best results are obtained using an svd inverse fourier deconvolution algorithm with regularization for noise suppression 第五章為了重建三維目標立方,發展了各種去卷積算法:最近鄰、逆濾波和帶約束的迭代去卷積,并應用到計算機產生和試驗測量的圖像立方中,最好的結果是利用具有規則抑制噪聲的svd逆傅立葉變換去卷積算法獲得的。

Some linear approaches reported recently without postprocessing to fir system identification are discussed . this paper improves the question of the promulgation of error due to estimating middle parameter frequently in other related methods , and presents a direct algorithm of estimating parameter without estimating middle coefficient . through proper mathematic means , for example , singular value decomposition ( svd ) or total - least squares solution ( tls ) , this algorithm smoothes the noise and improves effectively the estimation performance 和2階統計量相比,高階統計量不僅能夠有效抑制高斯有色噪聲的影響,而且能夠揭示隨機過程的相位特性,因此,高階統計量是解決非高斯、非最小相位、非因果系統和有色高斯噪聲環境的系統辨識和處理問題的重要分析工具。

Firstly , unlike the factorization - based methods that minimize the svd ( singular value decomposition ) re - projection error , the method uses the minimization of mean 2d re - projection error of projective points as a criterion , therefore it has a clearer physical meaning and enhances the accuracy of projective reconstruction results 該方法以全局性極小化射影三維空間點的二維反投影誤差平方和為準則,相對于縮小svd反投影誤差的方法,具有更為明確合理的物理意義。

Using monthly temperature and rainfall data of 160 stations in china and global sea surface temperature and heat content data , diagnostic analysis is performed by means of harmonic analysis , correlation analysis , svd and corresponding statistical significance test methods 利用全球海溫、熱含量、中國160站月平均氣溫和降水資料,通過周期分析、相關分析和奇異值分解( svd )以及相應的統計學顯著性檢驗方法,分析比較了全球海洋熱狀況與氣候異常的相關聯系。

Based on svd technique and considering the compromise between the distinguishing rate and the variance of the solution , a new singular value modification scheme has been proposed if the singular values decrease gradually , whose key is separating the singular values into two parts and modifying them separately 基于svd技術,兼顧解的分辨率與方差之間的折衷,針對均勻下降型奇異值提出了一種新的奇異值修正方案,其核心是將奇異值分成兩部分分別修正。

A test arranged to check lately and the result indicates that the new method can work efficiently , that the results were closer to the objective nature . 3 . to produce a new reduced kf scheme with svd , and construct the state transition matrix directly 浙江人學博十學位論文全文摘要3應用svd分解,推導了簡約形式的卡爾曼濾波方法,并直接建立了顯式的狀態轉移矩陣卡爾曼濾波法無法直接應用于海洋,其主要原因是增益矩陣的計算量太大。

A new method to determine the structure of sofm neural networks is put forward . singular values decomposition ( svd ) is performed on competitive layer ' s output . based on the distribution of the singular values , the number of neural nodes of competitive layer is chose 將奇異值分解法引入自組織特征映射( sofm )神經網絡,壓縮線性相關部分,刪除冗余節點,以確定sofm網絡的合理分類數,豐富了sofm網絡的無師特性。

Otherwise , by the way of svd we also analyzed the correlation distribution patterns of the spring and summer north pacific ssta and the summer rainfall of 43 stations over eastern china , and find out there is primely spatial coupling correlation between ssta and precipitation 另外,對太平洋前期春、夏季海溫與中國東部43站夏季降水進行奇異值分解,表明太平洋海溫與中國東部夏季降水具有很好的相關關系。

In the east of greenland and the northwest of canada , there were obvious correlation between the vertical velocity field and the temperature anomaly of the same term . but the stream field continuous anomaly region can primely explain the phenomenon 借助于svd分析方法,逐日分析了30hpa垂直速度場與同期30hpa溫度場間的關系,在格陵蘭東部地區和加拿大西北部的垂直速度與同期溫度距平異常有顯著的關系。

( 2 ) analyze some denoising algorithms to process gauss noise and pepper and salt noise that are very familiar in digital images . we also research other methods that can denoise and keep the definition for an image at the same time ( 2 )研究了對圖像中常見的高斯白噪聲和椒鹽噪聲行之有效的去噪算法,并研究了基于svd的濾波方法和lum濾波器,它們在實現圖像去噪的同時能更好地保持圖像細節。

Lsa is similar to vector space mode ( vsm ) , representing textual materials with space vectors . lsa can advance the accuracy of subsequent processes by using a truncated singular value decomposition ( svd ) to remove the influences of synonymy 在技術上,它同向量空間模型類型類似,都是采用空間向量表示文本,但通過svd分解等處理,消除了同義詞、多義詞的影響,提高了后續處理的精度。

According to maxwell principle , the mechanical characteristics could be analyzed with the svd methods for balanced matrix . besides , considering initial strain and stress , the paper established the nonlinear finite elment equilibrium equation based on t . l formulation L格式的非線性有限元位移法平衡方程,并采用mn - r法編制相應的程序進行張拉整體結構的非線性力學分析。

Emg is also assessed with recurrence plot analysis ( rpa ) , recurrence quantity analysis ( rqa ) , iterated function system ( ips ) dumpiness test , singular - value decomposition ( svd ) , and false nearest neighbors ( ffn ) 我們還應用重現圖形分析、重現定量分析、迭代函數系統成塊檢測、奇異值分解分析、虛假最小近鄰等方法對肌電信號進行了分析。

2 ) the leading svd modes of interdecadal variability are indicative of stronger statistical significiance in the north pacific than in the tropical pacific , while the conclusion is contrary as for interannual variability 2 )年代際變化海氣相互作用北太平洋區域較熱帶太平洋區域顯著,年際變化海氣相互作用熱帶太平洋區域較北太平洋區域顯著。

The algorithm that we study is based on dwt and svd . the main merit of the algorithm is the capacity of the watermarking information that is hid into the image is much more than the capacity of the random signal and two - value image 經過實驗仿真,把該算法能夠經受住噪聲、中值濾波、壓縮、高通濾波、低通濾波等的處理,具有很強的魯棒性。

The sensitivity matrix was then decomposed by singular value decomposition ( svd ) method , and the relationship between the surface geometric errors and the uncertainty parameters was formulated 采用矩陣的奇異值分解原理,對曲面最佳適配的靈敏度矩陣進行分解,得到不確定度參數與測點隨機誤差的關系表達式。

A great lot of analysis and experimental results indicate that the experiential formula can give more exact order than traditional methods , such as a1c , b1c , cat and svd 大量的試驗與計算機仿真表明,該經驗公式在短信號的分析中優于傳統的信息量準則以及基于線性代數方法的奇異值分解( svd )定階算法。