2WLS-TDOA-Source-Location

ISODATA算法,对原本算法进行了简化,计算速度较快()

这是关于中心大动脉与外围动脉如桡动脉，股动脉的临床医学数据，用这些数据进行盲辨识与估计(This is the main artery on the central and peripheral arteries such as the radial artery, femoral artery of the clinical data, using these data for Blind Identification and Estimation)

Implement two methods face recognition: PCA and LDA for ORL face base

Astatre algorithm for navigation mobile robot. this algorithm is suitable and efficient for tracking path.

c均值模糊聚类算法在matlab环境中的实现源码(fuzzy c-means clustering algorithm in matlab environment to achieve source)

利用二维小波分析对图像进行压缩。一个图像作小波分解后，可得到一系列不同分辨率的子图像，不同分辨率的子图像对应的频率是不相同的。(failed to translate)

Program to plot x(t) =1/2+∑_(n=1)^∞▒ (sinc⁡ 〖n/2〗 〖 cos 〗⁡ 〖2πnt/4〗 ) Include n-value (Number of Terms) in graph on plot. Show 2 graphs, original and simulated together.

利用计算机完成控制系统的根轨迹作图，了解控制系统根轨迹图的一般规律，利用根轨迹进行系统分析。 (Using computer control system for the completion of the root locus mapping to understand the control system of the root locus of the general laws, the use of a systematic analysis of the root locus.)

Matlab的创始人 C. Moler编写，网上鲜见。 诚乃大家之作，为英文版，内附70多个M文件实例解释，对于编码的品质提高很有好处(Matlab' s founder C. Moler preparation, on-line rare. We shall be sincere is for English, included more than 70 instances of M documents to explain, for improving the quality of coding is very good for)

The alogrithm employed in this toolbox for determining Lyapunov exponents is according to the algorithms proposed in [1] A. Wolf, J. B. Swift, H. L. Swinney, and J. A. Vastano "Determining Lyapunov Exponents from a Time Series," Physica D, Vol. 16, pp. 285-317, 1985. [2] J. P. Eckmann and D. Ruelle, "Ergodic Theory of Chaos and Strange Attractors," Rev. Mod. Phys., Vol. 57, pp. 617-656, 1 The algorithm given in [1] is used for first-order systems while the QR-based algorithm proposed in [2] is applied for higher order systems. by Steve W. K. SIU, July 5, 1998. (The alogrithm employed in this toolbox for determining Lyapunov exponents is according to the algorithms proposed in [1] A. Wolf, J. B. Swift, H. L. Swinney, and J. A. Vastano, "Determining Lyapunov Exponents from a Time Series," Physica D, Vol. 16, pp. 285-317, 1985. [2] J. P. Eckmann and D. Ruelle, "Ergodic Theory of Chaos and Strange Attractors," Rev. Mod. Phys., Vol. 57, pp. 617-656, 1985. The algorithm given in [1] is used for first-order systems while the QR-based algorithm proposed in [2] is applied for higher order systems. by Steve W. K. SIU, July 5, 1998. )