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extracting bit packed data

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Muhammad
Muhammad am 15 Feb. 2012
Kommentiert: Walter Roberson am 22 Jan. 2023
Hi
I have an matrix with dimensions 5 x 200 x 100, I want to extract the data encoded in the 2nd and 3rd bit of the first byte (first byte means 1 x 200 x 100).
similarly i would need the data encoded in the 4th and 5th bit also.
Please note that by "data" i mean a digit between 0-3 (as it is being extracted from 2 bits)
Best regards, Muhammad
  1 Kommentar
Muhammad
Muhammad am 15 Feb. 2012
Verschoben: Voss am 21 Jan. 2023
waiting for the answer.

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Antworten (3)

Walter Roberson
Walter Roberson am 15 Feb. 2012
There are arithmetic means, and there is bitget()
  2 Kommentare
Muhammad
Muhammad am 16 Feb. 2012
Thanks walter. But I have used bitget and got following response.
??? Undefined function or method 'bitget' for input arguments of type 'int8'.
additionally, bit get can give me value of one bit (i.e. either 0 or 1). Where as i need the integer value of combined bits 2-3 (so the answer should be an integer among 0,1,2 or 3.
Walter Roberson
Walter Roberson am 22 Jan. 2023
bitget(int8(23), 1:5)
ans = 1×5
1 1 1 0 1
But that is current day; perhaps int8 was not supported back in 2012.

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Jan
Jan am 15 Feb. 2012
x = floor(rand(5, 200, 100) * 256);
a = rem(x(1, :, :) / 2, 4);
Are these the 2nd and 3rd "bits" you are looking for? It depends on the counting direction and if you start with 0 or 1.
See also bitget.
  1 Kommentar
Muhammad
Muhammad am 16 Feb. 2012
Thanks Jan. No I am not looking for the bits themselves. I am looking for the integers packed in 2-3 bits. So the answer I am looking for should be an integer among 1,2,3 or 4

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Floris Jansen
Floris Jansen am 21 Jan. 2023
Bit late with an answer, but this should work for you:
Note that if the bits are not contiguous you could still extract the data, but it will be a bit more work...
% start with a multi dimensional array of uint8
% (any number of dimensions should work)
myData = uint8(randi(255,[10,20,30]));
% create a mask with ones in the bit positions you want:
mask1 = 0b00110000; % extract 2 bits in positions 2,3
mask2 = 0b00011100; % extract 3 bits in positions 3,4,5
% now do bit and, and shift to get the number
data1 = bitand(myData, mask1)/16; % shift right by 4
data2 = bitand(myData, mask2)/4; % shift right by 2
% observe the results:
figure
subplot(2,1,1)
histogram(data1(:));
subplot(2,1,2);
histogram(data2(:));

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