@Knowledge Amplifier. Thanks alot for the video, it has gave me idea how to program it. Can you please help me how to program a code for the below question as i am not getting the output as required. I will be very very thankful to you. Write a program that will smooth an array of noisy data using a two-point average. Assume the array of data is a row vector and that a backwards average will be used for the smoothing. For a backwards two-point average, Xavg,𝑘 =(X𝑘+X𝑘−1)/2, except for 𝑘 = 1 where Xavg,1 = X1. Use loops and conditional statements rather than array operations. Use the following statement (for MATLAB) to create a row vector of noisy data from a normal distribution with a mean of 10.0 and a standard deviation of 2.0 to test your program: • noisydata = 10.0 + 2.0 ∗ 𝑟andn(1,100);
The moving average filter has all coefficients equal ... For example, a 5 point filter has the filter kernel: ˛ 0, 0, 1/5, 1/5, 1/5, 1/5, 1/5, 0, 0 ˛ . That is, the moving average filter is a convolution of the input signal with a rectangular pulse having an area of one. Hope you got my point. Happy Learning :-)
Very useful … too good! Thanks a lot ! Plz make more such MATLAB videos …
Thank you, I will @Tom-sp3gy. Happy Learning !
Great lesson
Glad to hear this Shimaal Carrim! Happy Learning
How do we know a and b (denominator and numenator) in a real data?
Sir, very nice, please keep on producing such helpful material for dsp
Thank You Abubakar Safi for this inspiring comment! Happy Learning :-)
Hi bro can you please explain how to calculate numarator and denominator values please
Very nice man , very nice , you helped me a lot
Thank You athlene x :-)
@@KnowledgeAmplifier1 I want to implement this but without using builtin filter function. Can you help me in this regard
how can we filter 3 number at the same time?
I appreciate your help. Please uploade a video with taka real temperature data and how to filter it? I will expect you
What does window size means
Thank you man! Really helpful!
Glad it helped ViralTube! Happy Learning :-)
Very clear explanation
Thank You Abhijeet Mishra. Happy Coding :-)
Great content
Thank You Pablo marchesi selma! Happy Learning & have a great new year ahead :-)
It would have been much bettter presentation if you had made a PowerPoint slide instead of digital pen
thank you for the video, you help me a lot...
Welcome Daniel Alejandro Dominguez
. Happy Learning :-)
@Knowledge Amplifier. Thanks alot for the video, it has gave me idea how to program it.
Can you please help me how to program a code for the below question as i am not getting the output as required. I will be very very thankful to you.
Write a program that will smooth an array of noisy data using a two-point average. Assume the array of data is a row vector
and that a backwards average will be used for the smoothing. For a backwards two-point
average, Xavg,𝑘 =(X𝑘+X𝑘−1)/2, except for 𝑘 = 1 where Xavg,1 = X1. Use loops and
conditional statements rather than array operations. Use the following statement (for
MATLAB) to create a row vector of noisy data from a normal distribution with a mean
of 10.0 and a standard deviation of 2.0 to test your program:
• noisydata = 10.0 + 2.0 ∗ 𝑟andn(1,100);
gj
It is ridiculous that you chose those coefficients equal. this makes your video useless
The moving average filter has all coefficients equal ...
For example, a 5 point filter has the filter kernel:
˛ 0, 0, 1/5, 1/5, 1/5, 1/5, 1/5, 0, 0 ˛ . That is, the moving average filter is a
convolution of the input signal with a rectangular pulse having an area of one.
Hope you got my point.
Happy Learning :-)
moving averrage. hhahah
😅