文件名称:LMSfilter
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假设一个接收到的信号为:x(t)=s(t)+n(t), 其中s(t)=A*cos(wt+a), 已知信号的频率w=1KHz,
而信号的幅度和相位未知,n(t)是一个服从N(0,1)分布的白噪声。为了利用计算机对信号进行处理,
将信号按10KHz的频率进行采样。
通过对x(t)进行LMS自适应信号处理,从接收信号中滤出有用信号s(t).
在未知信号频率的情况下,通过对x(t)进行LMS自适应信号处理,从接收信号中滤出有用信号s(t).
-Assuming a received signal: x (t) = s (t)+ n (t), one of s (t) = A* cos (wt+ a), the known frequency signal w = 1KHz,
And the signal amplitude and phase of the unknown, n (t) is a subject to N (0,1) the distribution of white noise. The use of computers in order to deal with the signal,
The signal by sampling frequency of 10KHz.
Of x (t) for LMS adaptive signal processing, filtering from the received signal in the useful signal s (t).
Frequency signals in unknown circumstances, the adoption of x (t) for LMS adaptive signal processing, filtering from the received signal in the useful signal s (t).
而信号的幅度和相位未知,n(t)是一个服从N(0,1)分布的白噪声。为了利用计算机对信号进行处理,
将信号按10KHz的频率进行采样。
通过对x(t)进行LMS自适应信号处理,从接收信号中滤出有用信号s(t).
在未知信号频率的情况下,通过对x(t)进行LMS自适应信号处理,从接收信号中滤出有用信号s(t).
-Assuming a received signal: x (t) = s (t)+ n (t), one of s (t) = A* cos (wt+ a), the known frequency signal w = 1KHz,
And the signal amplitude and phase of the unknown, n (t) is a subject to N (0,1) the distribution of white noise. The use of computers in order to deal with the signal,
The signal by sampling frequency of 10KHz.
Of x (t) for LMS adaptive signal processing, filtering from the received signal in the useful signal s (t).
Frequency signals in unknown circumstances, the adoption of x (t) for LMS adaptive signal processing, filtering from the received signal in the useful signal s (t).
相关搜索: lmsfilter
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下载文件列表
LMSfilter
LMSfilter/adaptive.m
LMSfilter/Question1.m
LMSfilter/Question2.m
LMSfilter/说明.txt
LMSfilter/adaptive.m
LMSfilter/Question1.m
LMSfilter/Question2.m
LMSfilter/说明.txt
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