AnCountingandSegmentationmethodofBloodCell

matlab《主成分分析》的源代码,是化学计量学的模式识别的主要程序。(matlab )

说明：  mfile in matlab about jame machin elec

混沌映射(序列)matlab算法“小全”：Logistic、Henon、帐篷、kent(含混沌二值图像生成函数)的matlab程序(Chaotic map (sequence) matlab algorithm " Souvenir" : Logistic, Henon, Tent, kent (including chaotic binary image generating function) matlab program)

通信学中的QAM调制，这是一个比较经典的程序(QAM in communications )

this algorithm can be extract complex qrs from ecg signal

以某些特殊函数为基将数据过程或数据系列变换为级数系列以发现它的类似频谱的特征，从而实现数据处理。(In some particular function or process the data base is converted into data series series series to discover its characteristics similar to the spectrum, to achieve data processing.)

提出了一种软判决解映射的简化算法，简化算法同时提高性能(a new simplified soft-output demapping algorithm)

I found this paper regarding to LPR interesting and I would like to share it.

利用svd的一种水印方法。SVD即奇异值分解(Singular Value Decomposition)算法。 (A watermarking method using svd. Singular value decomposition SVD that (Singular Value Decomposition) algorithm.)

Among the high-complexity methods, two methods dominate the literature Kalman filtering and Mixture of Gaussians (MoG). Both have their advantages, but Kalman filtering gets slammed in every paper for leaving object trails that can t be eliminated. As this seems like a possible deal breaker for many applications, I went with MoG. Also, MoG is more robust, as it can handle multi-modal distributions. For instance, a leaf waving against a blue sky has two modes—leaf and sky. MoG can filter out both. Kalman filters effectively track a single Gaussian, and are therefore unimodal: they can filter out only leaf or sky, but usually not both.