搜索资源列表
GMM
- Source code - create Gaussian Mixture Model in following steps: 1, K-means 2, Expectation-Maxximization 3, GMM Notice: All datapoints are generated randomly and you can config in Config.h-Source code- create Gaussian Mixture Model
chap_1-4
- its file about lms filtering
Dissertation_kyehunSEv4
- lms filtering and fgpa implementation type file
Onenewauto-adaptedalgorithm
- 算法存LMS算法的基础上做了一定的修改，通过在于扰来向设置零点来达到抑制干扰-Algorithm deposit based on the LMS algorithm to do a certain amount of modifications, through the disturbance is set to zero to achieve interference suppression
OneimprovementchangeslengthofstrideLMS
- 在对一些变步长LMS算法分析的基础上，提出了步长因子 (n)与误差信号e(n)之间一种新的非线性函数关系-In a number of variable step size LMS algorithm based on the analysis, put forward a step length factor (n) and error signal e (n) between the non-linear function of a new relationship
Severalauto-adaptedalgorithms
- 本文对LMS、NLMS 以及NVSS 算法的性能进行了比较, 通过仿真发现NLMS 算法的运算速度虽略慢于LMS 算法-In this paper, LMS, NLMS algorithm, as well as the performance of NVSS comparison of NLMS algorithm through the simulation found that the computation speed is slightly slower than the LMS al
LMS-algorithm
- explain the development of wireless communications
review-elearning.pdf
- This document tries to present the results of a review of three e-learning application used at the University of Gadjah Mada in hopes chosen one one as the application of a Learning Management System (LMS) that match. review peel more technical
adaptive-lms
- 有源自适应噪声的最常用算法，该算法是基于滤波器的输出信号与期望响应之间的误差的均方值为最小。-Active adaptive noise most commonly used algorithm, which is based on the error between the filter output signal and the desired response minimum mean-square value.
01494698
- An LMS-Based Adaptive Generalized Sidelobe Canceller with Decision Feedback
LMS-and-RLS-algorithm--(CDMA)
- LMS and RLM code in matlab simulate in MUD CDMA system.
Performance-analysis-of-LMS-in-Real-Time
- Its a Labview implementation of Adaptive control algorithms for process plants
LMS
- LMS filter to solve the system identification problem
_L0-Norm-Constraint-LMS-Algorithm
- 用于稀疏系统辨识的L0范约束的最小均方算法原理研究-For sparse system identification of L0 norm constraint of the least mean square algorithm principle is studied
Regularized-LMS
- 归一化的最小均方算法原理及误差分析，LMS入门-Normalized least mean square algorithm principle and error analysis, introduction to LMS