Computer Project for EEE 407/591
You can work in groups of 2
Frequency-Domain Adaptive Noise Cancellation
This counts as Test 3 for the EEE 407 class
Due: Nov. 25, 2015 by noon (hard copy) in GWC408
Save your report (soft copy) and m files in one zip file
Computer Project for EEE 407
Frequency-Domain Adaptive Noise Cancellation
Miao Tang Jianan Yang
11/22/2015
ABSTRACT
In this project, we mainly explored Frequency-Domain Adaptive
Filter (FDAF) to cancel the noise from background. The procedure
to achieve t
0unction [e,snr_improve] = anc( infile1, infile2,N,mu)
N = 256;
mu = 0.001:0.0001:0.004;
%Outputs:e is the filtered time-domain signal
nr_improve is the improvement in SNR of the output signal after filtering
%Inputs:infile1 is the primary mic (mic1)
HW2 Solution
Q3)
c) Not Linear
e) Linear
f) Linear
Q6)
DTFT
h[n] [n] H (e j ) 1
Q7) Let x[n ] [n ] , then the impulse response is h[n ] [n ] [n 1] .
Q32)
Q33)
1
Q50)
1 n 1
m
1
n
1
2 u(n )
If the input is x ( n ) u( n ) , then we can get y '( n )
1 1
PBM 7.1
To derive Parsevals theorem for the DFT:
N 1
1 N 1
2
X (k ) ,
N k =0
n =0
we start from the R.H.S of (7.1) and proceed as
1 N 1
1 N 1
2
X (k ) = N X (k )X * (k )
N k =0
k =0
2
x ( n) =
N 1
1 N 1
2 nk
),
X (k ) x* (n) exp( j
N k =0
N
n =0
where i