搜索资源列表
LMS_and_VSS_LMS
- LMS和VSS_LMS算法比较其仿真源代码-Comparison of LMS and the simulation VSS_LMS algorithm source code
isixindao
- 随机qpsk信号的LMS自适应算法 包括加噪声没没加噪声两种-Random qpsk signal plus noise LMS adaptive algorithm, including both additive noise did not
lms
- LMS滤波算法的matlab实现，有注释-LMS filtering algorithm
system_identification_qpsk
- 随机产生一QPSK调制信号，通过一随机产生的低通滤波器，然后使用LMS算法实现了系统哦你的辨识。-Randomly generate a QPSK modulation signal generated by a random low-pass filter, and then use the LMS algorithm of the system Oh, your identification.
LMS
- 基于LMS算法的自适应滤波器仿真实现，一篇不错的论文-LMS adaptive filter algorithm based Simulation, a good paper
beamforming1
- beamforming by LMS algorithm in CDMA communication
100LMS
- 这是个循环的LMS算法，自适应课程的基本LMS算法过程~-This is a cycle of LMS algorithm, LMS adaptive algorithm for the basic process of course ~
LMS_with_delay_simi
- LMS algorithm similation.
LMSNoiseCanceller_FixPt_PIL_cosimulation
- LMS algorithm PIL cosimulation for DM642 EVM.-LMS algorithm PIL cosimulation for DM642 EVM.
LMS_noise_add_ADC
- Executable LMS algorithm for DM342 EVM.
LMSRLS
- 两种算法（LMS和RLS）实现CDMA系统盲多用户检测的仿真。结论验证了在加性高斯白招生信道下、同步DS-CDMA系统中接收机应用这两种盲多用户检测算法抑制多址干扰（MAI: multiple access interference）和码间串扰（ISI: inter symbol interference）的能力,仿真实验与理论推导相吻合。实验与理论都表明,RLS性能好于LMS，而LMS计算量明显小于RLS。-This paper discusses two algorithms (LMS an
perceptron
- lms渐进预测算法，非常好用 -lms progressive prediction algorithm, incremental prediction algorithm is very easy to use lms, very easy to use
SRKB
- the code contains adaptive filter using lms algorithm with zero mean and variance and it minimize the error and equals the output
MIMO-OFDM
- 在awagn噪声下实现lms信道估计算法，以及我的算法改进。-Lms in awagn noise to achieve channel estimation algorithm, as well as improving my algorithm.
lms_source_code_matlab
- matlab source code for lms algorithm.can be used for adaptive filtering applications
nlms
- 归一化自适应lms算法，简单易行，很适合初学者-Normalized adaptive lms algorithm, simple, very suitable for beginners
lms
- 使用最小均方算法，对声音进行滤波。去掉声音中混有的噪音。-Using the least mean square algorithm, the sound is filtered. Some of the sound mixing to remove noise.
LMS
- 使用matlab实现最小均方算法，画出了权值迭代图和搜索过程图。-Realized least mean-square algorithm（LMS）by using matlab, drawed the right value iteration figure and search process maps.
lms
- 最小均方算法lms在波束形成中的应用 LMS算法步骤： 1,、设置变量和参量： X(n)为输入向量，或称为训练样本 W(n)为权值向量 b(n)为偏差 d(n)为期望输出 y(n)为实际输出 η为学习速率 n为迭代次数 2、初始化，赋给w(0)各一个较小的随机非零值，令n=0 3、对于一组输入样本x(n)和对应的期望输出d，计算 e(n)=d(n)-X^T(n)W(n) W(n+1)=W(n)+ηX(n)e(n) 4、判断是否满足条件，若满足
LMS-toolbox
- 对信号进行时间延迟估计所用的工具箱，方便对算法的使用。-Time delay estimation of signals used by the toolkit to facilitate the use of the algorithm.