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RLS_filter
- RLS算法，编写了MATLAB程序实现自适应干扰对消。给出信号实例，用于验证所编写程序的性能。所给信号为：①噪声与语音的混合信号——signalnosie.wav；②噪声信号——noise.wav。两信号均为立体声，PCM压缩，采样速率为48000Hz，采样精度16bits。-RLS algorithm, the preparation of a MATLAB program to achieve adaptive interference cancellation. Given signal
AdaptiveSignalProcessing
- 自适应信号处理的几个程序，有LMS、NLMS、RLS算法，和几个自适应的例子。-Several adaptive signal processing procedures, LMS, NLMS, RLS algorithm, and several examples of adaptive.
C_RLS
- 研究利用RLS算法自适应均衡器纠正存在加性白噪声的信道的畸变。讨论特征值扩散度 对学习曲线的影响。 比较RLS算法和LMS算法在不同信噪比情况下的学习曲线。 -RLS algorithm using adaptive equalizer to correct the existence of additive white noise distortion channel. Eigenvalue discussion diffusivity impact on the learning cur
r4
- 基于Matlab的RLS自适应语音噪声对消系统的设计与实现-Matlab-based Voice of RLS Adaptive Noise Cancellation System Design and Implementation
DSP_rls
- 基于DSP的RLS自适应噪声消除系统-DSP-based RLS adaptive noise cancellation system
1
- RLS算法的去噪声仿真，在移动通信中的应用-RLS algorithm to the noise simulation, the application in mobile communication
RLS
- 通过均衡器的RLS算法在MATLAB中实现消除传输信道的噪声干扰。-Through the equalizer in the RLS algorithm in MATLAB to achieve elimination of the transmission channel noise.
rls
- rls算法,实现含噪声信号的消噪，其噪声为高斯白噪声加入，绘制了滤波前后的波形图-rls algorithm to achieve denoising noisy signals, the noise is Gaussian white noise is added, drawing the waveforms before and after filtering
LMS_RLS_sim
- 功能描述：测试LMS与RLS算法，比较两种算法的收敛特性 文件名：LMS_RLS_sim.m 测试用例： x(n)+a1*x(n-1)+a2*x(n-2)=e(n)，a1=-1.6,a2=0.81,e(n)为高斯白噪声 文件输出：系数a1的值 调用函数：function [A] = LMS_Algo(M,N,mu,xn) 被调用：无 作者：mingcheng 编写时间：2009-10-13 修改时间：2009-10-13
RLS
- 用MATLAB实现高斯白噪声系统输入信号的随机输出-Gaussian white noise with a MATLAB implementation of the random input output system
RLS
- 自适应滤波算法中的RLS算法，此处用RLS算法实现语音通信中的噪声抵消-Adaptive filtering algorithm in the RLS algorithm, RLS algorithm used here to achieve voice communication in noise canceling
RLS.cn
- RLS算法应用于噪声抵消的MATLAB程序-RLS algorithm is applied to the noise cancellation of the MATLAB program
RLS
- 本程序基于一阶AR模型，u(n)=-0.99u(n-1)+v(n)的线性预测。白噪声v(n)方差0.995.FIR滤波器的抽头数为2.遗忘因子0.98.用RLS算法实现u(n)的线性预测。并附有仿真图片-This procedure is based on a first-order AR model, u (n) =-0.99u (n-1)+v (n) of the linear prediction. White noise v (n) the number of taps of the t
RLS
- 仿真对象如下： 其中， v( k )为服从N (0,1) 分布的白噪声。输入信号u ( k) 采用M 序列，幅度为 1。M 序列由 9 级移位寄存器产生，x(i)=x(i-4)⊕x(i-9)。 选择如下辨识模型： 加权阵取Λ = I。 衰减因子β = 0.98，数据长度 L = 402。 辨识结果与理论值比较，基本相同。辨识结果可信 -he simulation object is as follows: among them, v (k) to obe
RLS
- RLS自适应滤波器程序做系统辨识，输入为高斯白噪声，内有详细注释，可运行-RLS adaptive filter program to do system identification, the input is Gaussian white noise, with detailed notes, you can run
LMS-AND-RLS
- 在高斯白噪声环境下，实现信道的自适应均衡，信道的参数可以自行设置，观察不同的信道情况对均衡效果的影响。文件附报告、源程序、仿真截图，内容详尽！-In the Gaussian white noise environment, to achieve adaptive channel equalization, channel parameters can be set up their own, different channel conditions observed on the equili
rls
- 这个程序关于语音信号的消噪，实现了一个基于递归最小二乘法的自适应噪声抵消器-This program about the speech signal de-noising, implements a recursive least squares based adaptive noise canceller
RLS-
- 这个程序关于语音信号的消噪，实现了一个基于递归最小二乘法的噪声抵消器-This program about the speech signal de-noising, implements a recursive least squares method based on a noise canceller
LMS-and-RLS-adaptive-filter--
- 基于LMS和RLS的自适应滤波器应用仿真 自适应滤波器是指利用前一时刻的结果，自动调节当前时刻的滤波器参数，以适应信号和噪声未知或随机变化的特性，得到有效的输出，-Based on the LMS and RLS adaptive filter applications is the use of simulation of adaptive filter at a time before the result of automatic adjustment of the filter pa
基于二次多项式的RLS校正算法
- 采用二次型多项式模拟出噪声，在采用RLS算法对图像噪声进行校正(The quadratic polynomial is used to simulate the noise, and the RLS algorithm is used to correct the image noise.)