The project aims at cancellation of famous colored noises like violet, pink etc from a speech signal adaptively using adaptive filters that change their weights based on the LMS Algorithm. A simulink model has been provided along with the real time simulation video.

1. BITS Pilani
Pilani Campus
EEE G529T PART 3
ANC LMS SIMULINK SPEECH
COLORED NOISE
Vikas Kalwani
EEE Department
BITS Pilani, Pilani

2. BITS Pilani, Pilani Campus
COLORED NOISE
 White noise is a uniform mixture of random energy at every frequency
 Any kind of filtered noise signal can be called 'colored noise', which is just to say
that it is not a pure white noise
 Pink Noise is the most common colored noise encountered
 I will talk about 4 colored noises – Pink, Brown, Blue and Violet
 Power Law Noise
A signal with components at all frequencies, with a power spectral density per
unit of bandwidth proportional to 1/fβ
β = 1 : Pink Noise Power density falls off at 10 dB/decade (−3 dB/octave)
β = 2 : Brown Noise Power density falls off at 20 dB/decade (−6 dB/octave)
β = -1 : Blue Noise Power density increases at 10 dB/decade (3 dB/octave)
β = -2 : Violet Noise Power density increases at 20 dB/decade (6 dB/octave)

3. BITS Pilani, Pilani Campus
PINK NOISE BROWN NOISE
COLORED NOISE
Slope: -10 dB/decade
Slope: -20 dB/decade

4. BITS Pilani, Pilani Campus
BLUE NOISE VIOLET NOISE
Slope: 10 dB/decade
Slope: 20 dB/decade
COLORED NOISE

5. BITS Pilani, Pilani Campus
VERIFICATION OF THE SLOPE OF
VIOLET NOISE USING SIMULINK

6. BITS Pilani, Pilani Campus
SIMULINK MODEL

7. BITS Pilani, Pilani Campus
SIMULATION
(FOR VIOLET NOISE)

8. BITS Pilani, Pilani Campus
CURVES
Reduction in MSE

9. BITS Pilani, Pilani Campus
RESULTS AND FUTURE WORK