搜索资源列表
rls
- this algorithm is about lms algorithm in adaptive system and filters.
LMS_simulation
- LMS算法C5502仿真,LMS算法的DSP程序及音频采集程序另附matlab编程仿真代码-C5502 LMS algorithm simulation, LMS algorithm DSP program and audio capture program attached matlab simulation code programming
NLMS
- 在LMS算法中，由于滤波器抽头权向量修正项与抽头输入向量u(n)成正比，因此当u(n)较大时，LMS算法的梯度噪声将被放大。采用归一化LMS(NLMS)算法可以克服LMS算法这一缺点。-In the LMS algorithm, since the filter tap weight vector correction term and tap input vector u (n) is proportional, so when u (n) is large, the gradient noi
LMS
- 基于AR模型的最小均方误差，自适应滤波算法-AR model based on minimum mean square error, adaptive filtering algorithm
LMS
- 自适应滤波器LMS算法包括SIMULINK模型及S函数的编写-LMS adaptive filter algorithm, including the preparation of the SIMULINK model and S function
filter(LMS)
- LMS自适应滤波去噪算法，里面一个去噪功能模块及一个声音处理模块。可去除音频中的噪声-LMS adaptive filtering denoising algorithm, which is a denoising function module and a voice processing module. Noise in audio
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
LMS
- 感知器和自适应线性元件在历史上几乎是同时提出的，并且两者在对权值的调整的算法非常相似。它们都是基于纠错学习规则的学习算法。感知器算法存在如下问题：不能推广到一般的前向网络中；函数不是线性可分时，得不出任何结果。而由美国斯坦福大学的Widrow和Hoff在研究自适应理论时提出的LMS算法，由于其容易实现而很快得到了广泛应用，成为自适应滤波的标准算法。-Least mean square error algorithm
Distributed-signal-processing
- 分布式lms算法，传感器网络，仿真通过，可以运行-Lms distributed algorithms, distributed lms algorithm, distributed lms algorithm, distributed lms algorithm
P5
- Aim: To equalize a QPSK signal faded by frequency selective Rayleigh Channel using LMS algorithm and to observe the scatter plot.
P6
- Aim: To equalize a QPSK signal faded by frequency selective Rayleigh Channel using LMS algorithm and to observe the scatter plot.
labno5
- Implementation of lms algorithm
code
- ANC using lms algorithm
wendang21_SVS_LMS
- svs_lms算法的MATLAB代码，实现LMS的改进-svs lms algorithm MATLAB code
sfsx
- 是matlab环境中的一些算法，改进的语音端点检测算法，还有就是LMS算法，rls算法，与波束形成相结合的算法-Matlab environment in a number of algorithms, the improved speech endpoint detection algorithm, there is the LMS algorithm, RLS algorithm, combined with beamforming algorithm
1
- 实验一：基于LMS算法的“苹果-橘子”分类问题 实验二：基于LMS算法的T-G-F字符识别问题 通过以上两个实验，了解ADALINE网络的结构及计算机制，掌握LMS算法，并会利用该算法来解决简单的模式分类问题。1， 学习ADALINE网络的基本结构及其学习机制，并在Matlab中实现 2， 分别对上述两类分类问题进行实现，并根据实验结果完成实验报告 -Experiment 1: Based on LMS Algorithm Apple- Orange classificati
LSL_LMS
- 本程序为matlab程序，描述了LSL与LMS算法在参数估计中的性能比较-This program for the matlab program, described the LSL and LMS algorithm in the parameter estimation performance comparison
LMS-adaptive-equalization-algorithm
- LMS自适应均衡算法，实现LMS的性能学习最优。-LMS adaptive equalization algorithm
image-processing-(3)
- The antenna is customize by combining the output of individual sensors and they are scaled based on the corresponding weight. And with the help of minimum squared error the LMS can compute the weight . Spatial filtering involves the signal estimation
DELAY-CAL
- The antenna is customize by combining the output of individual sensors and they are scaled based on the corresponding weight. And with the help of minimum squared error the LMS can compute the weight . Spatial filtering involves the signal estimation