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10_methods
- 在MATLAB环境下，背景为非高斯噪声下非常适用的滤波新算法。-in MATLAB environment, the background of the non-Gaussian noise filtering is applied to the new algorithm.
particlefilter
- 非常不错的非线性非高斯环境下的粒子滤波程序-very good nonlinear non-Gaussian environment under the particle filter process
MultilayerPerception
- 非常不错的非线性非高斯环境下的粒子滤波程序进化算法-very good non-linear environment Gaussian filter particles procedures evolutionary algorithm
pfdemo
- 程序为粒子滤波器跟踪算法的演示程序，粒子滤波器算法适用于非线性非高斯情况下的跟踪估计。本程序为pf专家程序，演示pf跟踪的核心思想，与大家共享。-procedures for tracking particle filter algorithm Demonstration Program, particle filter algorithm applicable to the non-linear Gaussian case tracking estimates. The procedures
robustlssvm
- 一个用于鲁棒最小二乘支持向量机的函数.可以对奇异点和非高斯分布的数据进行计算.-for a robust least squares support vector machine function. Be right singular point and the non-Gaussian distribution of data calculated.
ParticalText1
- 基本粒子滤波器的实现,对非线性非高斯目标可进行有效跟踪!-elementary particle filter to the realization of non-Gaussian nonlinear objectives can be effectively tracking!
mybss
- 盲信号分离是当前信号处理研究的热点课题之一，在无线数据通信、医学、语音以及地震信号处理等领域有着广阔的应用前景。基于负熵最大的FastICA算法用于实现盲信号分离。该方法的基本思路是以非高斯信号为研究对象，在独立性假设的前提下，对多路观测信号进行盲源分离。在满足一定的条件下，能够从多路观测信号中，较好地分离出隐含的独立源信号。
高斯拟合
- 曲线的高斯拟合,去除趋势性,对于一般非平稳序列的分析.-Gaussian curve fitting and removal of the trend, and for most non-stationary sequence analysis.
guass 高斯消去法求解线性方程组
- 高斯消去法求解线性方程组 输入变量为一个n阶非奇异方阵A，和n维列向量b，输出的结果为线性方程组Ax=b的解-Gaussian elimination method for solving linear equations
cyclic2_am.rar
- 基于matlab，针对调幅AM、调频FM和调相PM信号，分析在不同的噪声环境，包括高斯白噪声、色噪声、非高斯噪声及正弦干扰中，各种信号的二阶循环谱。可根据需要改变程序中信号或噪声环境，分析结果。,Based on matlab, AM for AM, FM FM and PM phase modulation signals, analysis of noise in different environments, including Gaussian white noise, colored
LPFleida
- Pf粒子滤波实现的目标跟踪程序，可实现针对非高斯噪声情况下的跟踪-Pf particle filter to achieve tracking procedures, can be non-Gaussian noise for tracking cases
Particle_Filter
- 粒子滤波程序，仿真实现自由度机器人对目标的跟踪，使用kalman滤波估计总雅可比矩阵J，噪声为非高斯噪声-Particle filter procedure, simulation robot tracking of targets, the use of kalman filter estimated total Jacobian matrix J, the noise of non-Gaussian noise
Function
- 用于解齐次线性方程组和非齐次线性方程组 用高斯消元法做的，用一个类完成-homogeneous linear equations and system of non-homogeneous linear equations
The_nonlinear_filtering_algorithm_performance_anal
- 对目前非线性滤波的主要算法即扩展卡尔曼滤波、不敏卡尔曼滤波、粒子滤波、扩展卡尔曼粒子滤波和不敏粒子滤波的滤波模型、适用条件、性能进行了分析比较，给出了每种方法的计算复杂度．通过一个非线性非高斯模型进行了仿真，验证了这些算法的性能。-Present the main algorithms of the nonlinear filtering extended Kalman filter, Unscented Kalman filter, particle filter, particle filt
upf_demos
- 粒子滤波改进算法仿真比较，我觉得很好用，大家快下载，贝叶斯滤波适合非线性和非高斯环境，这种非线性统计理论很先进-Improved particle filtering algorithm for simulation and comparison, I feel useful, we quickly download, Bayesian filtering for nonlinear and non-Gaussian environment, which is very advanced sta
non-guassian
- 关于非高斯噪声环境下的各种调制方式信道容量仿真-Non-Gaussian noise environment on a variety of channel capacity modulation simulation
bimodal-noise
- 在复杂的电子系统中，影响信号接收的很多噪声为非高斯噪声，这些噪声是没有预料到的，以致破坏了接收机的功能，研究表明：这些噪声可以看成双模噪声，双模噪声从整体上讲属于非高斯噪声。-In complex electronic systems, many of the signal received by a non-Gaussian noise, the noise is not anticipated, resulting in damage to the receiver function, re
Guess
- 用m语言绘出高斯分布，并以GMM模型的简单例子来进行非曲线拟合。(The Gauss distribution is drawn in M language, and a simple example of the GMM model is used to do the non curve fitting.)
gauss
- 采用高斯消元法，实现线性非齐方程求解，并且具有回代，可以直接论证方案。具有一般性，和参考性。(The Gauss elimination method is used to solve the linear non-homogeneous equation, and it can be used to prove the scheme directly. It is general and referential.)
Matlab
- 能够计算非齐次方程组的解，程序清晰的解释了高斯消去法的过程和原理，有助于读者理解高斯消去法，从而更好的进行其他相关的复杂编程(It is possible to compute the solution of the homogeneous equations, and the program clearly explains the process and principle of the Gauss elimination method, which helps the reader to