搜索结果: 1-5 共查到“知识库 Test Statistic”相关记录5条 . 查询时间(0.062 秒)
AN UNSUPERVISED CHANGE DETECTION BASED ON TEST STATISTIC AND KI FROM MULTI-TEMPORAL AND FULL POLARIMETRIC SAR IMAGES
Change Detection Multi-temporal Synthetic Aperture Radar (SAR) Test Statistic Kittler and Illingworth (KI)
2016/11/23
Accurate and timely change detection of Earth’s surface features is extremely important for understanding relationships and interactions between people and natural phenomena. Many traditional methods ...
A New Test Statistic for Key Recovery Attacks Using Multiple Linear Approximations
multiple linear cryptanalyis LLR statistic chi-squared statistic
2016/4/26
The log-likelihood ratio (LLR) test statistic has been proposed in the literature for performing statistical analysis of attacks on block ciphers. A limitation of the LLR test statistic is that its ap...
Joint Data and Key Distribution of the Linear Cryptanalysis Test Statistic and Its Impact to Data Complexity Estimates of Multiple/Multidimensional Linear and Truncated Differential Attacks
multidimensional linear attack zero-correlation linear
2015/12/22
The power of a statistical attack is inversely proportional to
the number of plaintexts necessary to recover information on the encryption
key. By analyzing the distribution of the random variables ...
A Joint Test Statistic Considering Complex Wishart Distribution Characterization of Temporal Polarimetric Data
polarimetric SAR temporal analysis tracking change detection complex wishart
2015/11/20
Polarimetric data of distributed scatterers can be fully characterized by the (3 ￡ 3) Hermitian positive definite matrix which follows a complex Wishart distribution under Gaussian assumption. A...
On the asymptotic distribution of the Moran I test statistic withapplications
Moran I test Spatial autocorrelation Asymptotic distribution Central limit theorem
2015/9/24
By far, the most popular test for spatial correlation is the one based on Moran’s (1950) I test statistic. Despite this, the available results in the literature concerning the large sample distributio...