搜索资源列表
NLMS
- LMS算法，已经通过相关调试，应用相应的语音段和噪声段文件进行调试
NormalizedLeastMeanSquares
- 此源码程序是自适应滤波中的NLMS算法的应用。在MATLAB中对其收敛速度 输出就行了仿真
aec
- 使用LMS/NLMS的自适应滤波器算法实现回音消除
nlms
- 一种窄带干扰抑制的非线性自适应预测滤波算法！-a narrowband interference suppression filter nonlinear adaptive prediction algorithm!
Noise_suppression
- This model uses the NLMS adaptive filtering algorithm to suppress additive noise. It does not require a reference noise signal. However, the noise should be such that the auto-correlation of the noise be close to zero for some lag greater than a cert
AEC-memo.rar
- 一个高质量的声学回声消除范例源程序，包括详细的NLMS和NLP算法,A high-quality acoustic echo cancellation example source code, including the detailed and NLP algorithm NLMS
adaptive--filter--noise-
- 这是一自适应噪声消除的matlab程序 算法使用的是NLMS 里面含有截取的噪声 有仿真图-This is an adaptive noise cancellation matlab program NLMS algorithm is used which contains a simulation of the interception of the noise figure
SMI(Algorithm)
- 智能天线自适应非盲波束形成SMI算法，有很好的参考价值。-Smart Antenna Adaptive SMI non-blind beamforming algorithms, have a good reference value.
compAlgrothim
- 自适应滤波算法，变步长nlms算法、wena滤波算法-Adaptive filtering algorithm, variable step-size nlms algorithm, wena filtering algorithm
sample3
- 两个噪声信号及噪声信号和含噪声周期信号的互功率谱。 采用多窗口法估计含有周期信号的功率谱。-The two noise signal and noise signal and noise periodic signal containing the cross-power spectrum. Multi-window method is estimated to contain periodic signal power spectrum.
wert
- 回波抵消器中常用的几种自适应滤波算法有LMS, NLMS, RLS等算法。对现有主要算法的性能进行了分析，并对优缺点进行评价和比较。为了在收敛速度和运算量之间得到很好的折衷，对NLMS算法改进，得到了 PNLMS-Echo cancellation devices commonly used in adaptive filtering algorithm has several LMS, NLMS, RLS, such as algorithms. The main algorithm of t
denoise_NLMS_2
- this program denoises the sin(w1*t) using NLMS method.
LMSandVSLMS
- 本程序对两种固定步长和一种变步长最小均方误差算法的权值收敛进行了仿真，结果表明变步长的算法效果更优。-This programme compare LMS algorithm with VSLMS algorithm. The result indicate that the latter is better.
NLMSarm
- 自己写的NLMS算法回声消除，本来希望能用d消除x信号。但实际情况存在问题。-Write the NLMS algorithm, echo cancellation, had hoped to eliminate x signal d can be used. But the reality problems.
HDLImplementationoftheVariableStepSize
- proposes a Verilog implementation of the Normalized Least Mean Square (NLMS) adaptive algorithm, having a variable step size. The envisaged application is the identification of an unknown system. First the convergence of derived LMS algorithm
Four_algorithms_of_the_adaptive_filtering
- lms,LLMS, RLS AND NLMS IS IMPLEMENTED IN THIS PROJECT OF ADAPTIVE FILTERING
aec_nlms_dsp
- e4改进NLMS算法的回声消除器研究与DSP实现，挺不错的一篇论文-aec
NLMSarticle
- 改进的归一化LMS算法文章，即改进的NLMS论文-Improved normalized LMS algorithm article, that paper improved NLMS
source
- This derivation of the normalised least mean square algorithm is based on Farhang- Boroujeny 1999, pp.172-175, and Diniz 1997, pp 150-3. To derive the NLMS algorithm we consider the standard LMS recursion, for which we select a variable step size
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