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FIR-differentiate
- By building a nonlinear function relationship between an d the error signal，this paper presents a no— vel variable step size LMS(Least Mean Square)adaptive filtering algorithm．
lms
- 1、本试验中未知系统采用25阶的FIR滤波器模拟。其通带边缘频率10kHz，阻带边缘频率22kHz，阻带衰减75dB，采样频率50 kHz。 2、自适应滤波器采用基本LMS算法，滤波器阶数为32，更新步长u为1/(4+xn*xn)。LMS自适应算法参见《现代信号处理》第192页。 已经在DSP2812上实现
一个matlab实现IIR、FIR、LMS、NLMS等算法的m代码
- 一个matlab实现IIR、FIR、LMS、NLMS等算法的m代码
fir_lms
- 一个不错的关于lms算法的verilog代码，算然只有两级，但是对了解lms用HDL描述有很好的理解作用。希望对大家有用~-A good lms algorithm on the verilog code, development environment, I can not find, even if the vhdl it! We hope to be useful
LMS_filter
- verilog HDL 写的LMS滤波器-LMS filter using verilog HDL language
fxlms
- ％％ Active Noise Control Using a Filtered-X LMS FIR Adaptive Filter ％ This demonstration illustrates the application of adaptive filters to the ％ attenuation of acoustic noise via active noise control. - Active Noise Control Using a Filtered-X L
adaptivefir
- 自适应滤波器。自适应滤波器为11个权系数的FIR结构。（1）不同的方差σ2（2）LMS算法画出一次实验的误差平方收敛曲线，训练长度为500，给出滤波器系数；进行20次独立实验，给出平均收敛曲线。不同步长值的比较。（3）RLS算法，LMS和RLS算法的比较 -Adaptive filter. Adaptive filter weights for 11 of the FIR structure. (1) different variance σ2 (2) LMS algorithm for a
LMS
- 采用一种快速收敛变步长LMS（Least mean square ） 自适应最小均方算法matlab源程序，其中算法所做的工作是用FIR 滤波器的预测系统，对IIR系统进行预测，如果阶数越高越能逼近被预测系统。-Using a fast convergence of variable step size LMS (Least mean square) adaptive least mean square algorithm matlab source, one of algorithm is t
adaptdemos
- Active Noise Control Using a Filtered-X LMS FIR Adaptive Filter.
lms
- 均方误差最小LMS算法，s为一个wav格式的音频文件。FIR滤波器长度为5。-LMS
LMS-AR
- 本程序利用自适应LMS算法实现FIR最佳维纳滤波器。可用于观察影响自适应LMS算法收敛性，收敛速度以及失调量的各种因素-This procedure using adaptive LMS algorithm is optimal FIR Wiener filter. Can be used to observe the impact of adaptive LMS algorithm convergence, convergence speed and the amount of imbalan
DPS5402
- 基于DPS5402的自适应滤波器的设计,ti公司生产的5402芯片。FIR滤波器，lms算法实现自适应滤波-ti chips produced by 5402.FIR filter,lms adaptive filter algorithm
fir_lms
- 基于FIR滤波器的自适用滤波器的实现 vhDL语言-FIR LMS
fir6dlms
- lms算法，自适应滤波器中使用fir滤波器对信号的码间干扰进行均衡-lms
fir_lms
- finite impulse response LMS algorithm verilog code
LMS-algorithm-
- 自适应滤波器是一种参数可自适应调整的有限冲激响应(FIR)数字滤波器，具有非递归结构形式。介绍了自适应滤波器的基本原理，用LMS自适应算法来仿真，得到LMS算法在自适应滤波中的收敛特性。-Adaptive filter is an adaptive adjustment of parameters can be finite impulse response (FIR) digital filter, with a non-recursive structure. Describes the b
LMS
- Simple function to adjust filter coefficients using the LMS algorithm adjusts filter coefficients, b, to provide the best match between the input, x(n), and a desired waveform, d(n),both waveforms must be the same length, uses a standard FIR filter
LMS
- 实现FIR系统中的最小均方误差自适应滤波算法（LMS）,并通过误差曲面研究其性能。-FIR system in the minimum mean square error adaptive filtering algorithm (LMS), and study its performance through the error surface.
LMS
- lms算法函数，lms算法的基本理论，实现LMS的FIR滤波-LMS algorithm function, the LMS algorithm principle, realization of LMS FIR filter
LMS_FIR
- fir结构的lms算法，可用于噪声消除，参数估计(The LMS algorithm of fir structure can be used for noise elimination and parameter estimation)