测绘工程中常用的坐标转换代码Navigation_utilities

采用了一种简化的方向图模型。方位和俯仰均用高斯型。(Direction using a simplified graph model. Azimuth and elevation are used Gaussian.)

说明：  小波软阈值simulink模型,对带噪语音信号进行小波分解，得到高低频系数，然后对高低频系数进行阈值处理，然后就行重构得到去噪语音信号(the simulink model of yuzhi)

根据系统传递函数求系统时域性能指标，输入为阶跃信号(Transfer function evaluation system according to the system performance in time domain, the input step signal)

这是一个模糊聚类代码（matlab）供大家学习(This is a fuzzy clustering code (Matlab) for all study)

说明：  计算数据集间的Kl距离，用于评估数据间的分布一致性(calculate the the distance between two data set, uate the distribution between two data set)

Bidirectional extreme learning machine - B-ELM Y. Yang, Y. Wang, and X. Yuan, "Bidirectional extreme learning machine for regression problem and its learning effectiveness," IEEE Transactions on Neural Networks and Learning Systems, Vol. 23, pp. 1498 - 1505, 2012

光伏电站中太阳光de 辐照度与光伏输出功率的关系(Relations photovoltaic solar power plant with an output power of irradiance)

Viterbi Decoder in C

全变差图像处理Matlab程序，for the paper: "Algorithms and Software for Total Variation Image Reconstruction via First-Order Methods, Numerical Algorithms"(Software for Total Variation Image Reconstruction (for Matlab Version 7.5 or later) "mxTV" is a software package for image reconstruction based on the Total Variation model, and including denoising, inpainting, and deblurring. The work was carried out as part of the project CSI: Computational Science in Imaging, funded by the Danish Research Council for Technology and Production Sciences, and headed by Prof. Per Christian Hansen, DTU Informatics. The collaborators are DTU Informatics, Dept. of Electronic Systems at Aalborg University, and MOSEK ApS. The underlying algorithms are based on recently published first-order methods developed by Nesterov, tailored specifically to the image restoration problems. These methods have O(1/ε) complexity, where ε is the accuracy of the solution. The core computational routines are written in C, with a mex interface to Matlab. The algorithms and the software are described in the paper: J. Dahl, P. C. Hansen, S. H. Jensen, and T. L. Jensen, Alg)

ofdm的matlab仿真代码，包括多径信道，频偏估计算法等。(ofdm matlab simulation of the code, including multi-path channel, frequency offset estimation algorithm.)