Based on the graph-theoretic algorithm,which is used to generate k-partite graph from DNA sequences,and a theoretic algorithm which is used to search k-clique in k-partite graph,a new distributed parameterized algorithm is designed and implemented to solve Motif Finding problem.

基于從DNA序列形成k分圖的圖理論算法和查找k-clique的理論算法,設(shè)計與實(shí)現(xiàn)了對Motif Finding問題求解的分布式參數(shù)算法。

The distribution of the time-varying scattering amplitude is studied,and the numerical results show that the distribution satisfies K-distribution with higher significant-slope(SS) and satisfies Rayleigh distribution with lower SS.

結(jié)果表明在大特征斜率下散射場服從K分布,隨著特征斜率的下降,散射場分布向瑞利分布退化。

This paper studies the K-distribution model of the radar clutter,expounds the principle of zero memory nonlinearity(ZMNL) transform method,gives the modeling and simulation process to generated K-distribution unequal clutter sequence based on ZMNL method.

對雷達(dá)雜波的K分布模型進(jìn)行研究,闡述了零記憶非線性(ZMNL)變換方法的原理,給出了基于ZMNL方法產(chǎn)生K分布非均勻雜波序列建模仿真過程。

In this paper,seven kinds of estimations of the parameters of K-distribution clutter based on the MOM approach are analyzed and compared with one another from the accuracy and complexity.

從參數(shù)估計的精度和算法復(fù)雜度兩個方面分析比較了矩與最大似然結(jié)合(MOM/ML)、分?jǐn)?shù)階矩、二/四階矩、算術(shù)與幾何均值比(MA/MG)、正規(guī)化對數(shù)估計(NLE)、對數(shù)方差和zlog(z)期望等7種基于矩方法的K分布形狀參數(shù)估計算法的性能,證明了幾種估計算法之間的關(guān)系。

Analysis and Simulation of Two-dimensional Sea Clutter Based on Coherent K-distributed Model;

基于相干K分布模型的二維海雜波分析與仿真

A new method for modeling and simulation of coherent k-distributed clutter is presented.

提出了一種全新的相干K分布雜波模擬方法。

Applied fields of log-normal distributed model and K-distributed model were analyzed for the signal fading over strong turbulence.

針對強(qiáng)湍流信道下信號衰落的特點(diǎn),分析了對數(shù)正態(tài)分布模型與K分布模型的適用范圍。

However,in the case of high resolu- tion and/or low grazing angles,the measured amplitude probability density function exhibits large deviations from the Rayleigh distribution but is better fitted by K-distribution.

然而,隨著現(xiàn)代雷達(dá)分辨率的提高及/或在低入射余角的情況下,測量到的海雜波幅度的概率密度函數(shù)(PDF)呈現(xiàn)出與瑞利分布很大的偏差,而與K-分布模型比較吻合。

A new two parameter CFAR detector in K-distribution clutter based on enhanced M-estimatorand OSGO-CFAR detector is proposed in this paper.

該文基于改進(jìn)的M-估計器和OSGO-CFAR檢測器,提出了K-分布雜波背景下一種新的雙參數(shù)恒虛警檢測器,然后在均勻干擾背景中研究了這種檢測器的性能,并與固定形狀參數(shù)的OSGO-CFAR檢測器進(jìn)行了比較。

The characteristics of two parameter CFAR algorithm and K-distribution CFAR algorithm are analyzed.

該文分析了雙參數(shù)CFAR算法和K-分布CFAR算法的特點(diǎn),將雙參數(shù)CFAR算法局部窗口的概念應(yīng)用到K-分布CFAR檢測中,適應(yīng)了SAR圖像海面背景復(fù)雜且局域性強(qiáng)的情況,獲得了較好的檢測效果。

K distribution and its function table building;

K分布及其函數(shù)表的生成

Based on Spherically Invariant Random Process(SIRP),this paper applies a new algorithm to model the clutter with K distribution in amplitude and any power density spectrum.

文中基于球不變隨機(jī)過程 (SIRP)的建模方法 ,針對實(shí)地采集的幅度滿足 K分布并具有有理功率譜的高分辨率雷達(dá)雜波 ,運(yùn)用現(xiàn)代譜估計算法對其進(jìn)行建模和仿真 ,并以模擬雜波與實(shí)際雜波的數(shù)據(jù)對比和統(tǒng)計檢驗(yàn)的結(jié)果對該方法進(jìn)行了驗(yàn)

K distribution is a new mix model.

K分布是一種新構(gòu)造的混合模型。