mas_mli

利用能量均衡法对实测的合成孔径雷达回波数据估计出其多普勒中心(use of the energy balance method measured the Synthetic Aperture Radar data to estimate its center Doppler)

inertial navigation system6

在matlab环境下编译的语音信号端点检测程序，基于短时能量和过零率的三阀值方法(Voice signal endpoint detection program, compiled under the Matlab environment based on short-term energy and zero crossing rate threshold method)

缺失数据的填补函数，用来估计缺失的数据。 single and mutiple imputation(Solves approximation to one of several pdes to interpolate and extrapolate holes in an array )

Uncertainty Quantification, Multilevel Monte Carlo, Probabilistic Collocation Methods

张德丰matlab小波分析源代码，从信号时-频联合分析引入小波变换，将信号的多分辨率分析及Mallat算法作为全书的重点，并在此基础上，进一步阐述了双正交小波多分辨率分析、小波包多分辨率分析、提升小波应用，还讲述了小波分析在奇异性检测、去噪及数据压缩中的应用。(Zhang Defeng Matlab wavelet analysis of the source code from the signal- frequency joint analysis of the introduction of wavelet transform, multi-resolution analysis of the signal and Mallat algorithm as the focus of the book, and on this basis, further elaborated biorthogonal wavelet multi-resolution analysis wavelet packet multi-resolution analysis, the lifting wavelet applications, but also about the application of wavelet analysis in the singularity detection, de-noising and data compression.)

遗传算法又叫基因进化算法，或进化算法。属于启发式搜索算法一种，这个算法比较有趣，并且弄明白后很简单，写个100-200行代码就可以实现。在某些场合下简单有效。本文就花一些篇幅，尽量白话方式讲解一下。(GA simple genetic algorithm;basic genetic algorithm;traditional genetic algorithm)

说明：  无约束极值问题 无约束极值问题的matlab求解源程序，欢迎各位下载。(Unconstrained optimization problem unconstrained extremum problem solving matlab source code, to welcome you to download.)

Simulink通信系统建模一书中的MIMO通信系统仿真MATLAB源程序，包括word文档介绍，是非常好的通信系统仿真的学习参考资料(The book Communication Systems Simulink modeling the MIMO communication system simulation MATLAB source code, including word document describes, is a very good communication system simulation study reference)

This paper presents a new approach to image segmentation using Pillar K-means algorithm. This segmentation method includes a new mechanism for grouping the elements of high resolution images in order to improve accuracy and reduce the computation time. The system uses K-means for image segmentation optimized by the algorithm after Pillar. The Pillar algorithm considers the placement of pillars should be located as far from each other to resist the pressure distribution of a roof, as same as the number of centroids between the data distribution. This algorithm is able to optimize the K-means clustering for image segmentation in the aspects of accuracy and computation time. This algorithm distributes all initial centroids according to the maximum cumulative distance metric. This paper evaluates the proposed approach for image segmentation by comparing with K-means clustering algorithm and Gaussian mixture model and the participation of RGB, HSV, HSL and CIELAB color spaces.