3gpp-channel-modle

smooth different is types of filter for DSP in matalb

matlab源码，利用遗传算法求解30个城市的tsp问题(matlab source code, the use of genetic algorithm to solve 30 problems tsp city)

esh generation is one of the most critical aspects of engineering simulation. Too many cells may result in long solver runs, and too few may lead to inaccurate results. ANSYS Meshing technology provides a means to balance these requirements and obtain the right mesh for each simulation in the most automated way possible. ANSYS Meshing technology has been built on the strengths of stand-alone, class-leading meshing tools. The strongest aspects of these separate tools have been brought together in a single environment to produce some of the most powerful meshing available.

一、穆勒矩阵构成 穆勒矩阵是一个4*4的矩阵，完整描述了介质的偏振属性。可通过水平线偏振光H、垂直线偏振光V，45°线偏振光P，右旋圆偏振光R入射，并分别探测水平线偏振光H、垂直线偏振光V，45°线偏振光P，右旋圆偏振光R出射情况下的能量值，即16种偏振态组合下的强度结果，HH/ HV/ HP/ HR，PH/ PV/ PP/ PR，VH/ VV/ VP / VR和RH/ RV/ RP/ RR。进而Mueller矩阵可按照公式（1）计算得到：(First, the Muller matrix The Muller matrix is a 4*4 matrix that completely describes the polarization properties of the medium. The horizontal line, vertical line polarized light polarized light H V, 45 degrees P linearly polarized light, right circularly polarized incident detection and R, respectively, H vertical horizontal line polarized light polarized light V, 45 degrees P linearly polarized light, right circularly polarized light R emitted under the condition of energy intensity results of 16 kinds of polarization combinations HH/ HV/, HP/ HR, PH/ PV/ PP/ PR VH/, VV/ VP and RH/ RV/ RP/ RR / VR. Furthermore, the Mueller matrix can be calculated according to formula (1):)

说明：  IIR低通数字滤波器在MATLAB中的设计方法(Low-pass IIR digital filter design in MATLAB method)

我初次接触到压缩方法实验的JPEG压缩算法源代码，用matlab编写的，欢迎探讨(I first exposure to the experimental compression JPEG compression algorithm source code, prepared by the use of Matlab, welcome to explore)

基于暗原色去雾的图像代码，用了软抠图和另两种改进算法，附加txt说明文档(Based on dark colors to fog image code, with a soft matting, and another two improved algorithms, additional documentation txt)

matlab方程，一帧一帧读video frame的(For continuous-time systems, the system is converted to discrete time with a sample time of dt=t(2)-t(1))

An implementation of Unscented Kalman Filter for nonlinear state estimation. (Nonlinear state estimation is a challenge problem. The well-known Kalman Filter is only suitable for linear systems. The Extended Kalman Filter (EKF) has become a standarded formulation for nonlinear state estimation. However, it may cause significant error for highly nonlinear systems because of the propagation of uncertainty through the nonlinear system. The Unscented Kalman Filter (UKF) is a novel development in the field. The idea is to produce several sampling points (Sigma points) around the current state estimate based on its covariance. Then, propagating these points through the nonlinear map to get more accurate estimation of the mean and covariance of the mapping results. In this way, it avoids the need to calculate the Jacobian, hence incurs only the similar computation load as the EKF. For tutorial purpose, this code implements a simplified version of UKF formulation, where we assume both the process and measurement noises are additive to avoid augment of state and a)

Construction of feature space data set in Matlab.