Recent content by Mr Peanut

  1. M

    Gaussian signal, extract uniform distribution of values

    Here's a final summary of the project: http://www.codeproject.com/Articles/795845/Arduino-Hardware-Random-Sequence-Generator-with-Ja I felt that this link should be in the thread for future interest.
  2. M

    Is It Shot Noise or Avalanche Noise in Your Circuit?

    For example: http://sanchezdavid.files.wordpress.com/2010/08/circuits-ii-term-paper-final.pdf Attributes it to shot noise. Here's on that says it avalanche noise: http://web.jfet.org/hw-rng.html
  3. M

    Is It Shot Noise or Avalanche Noise in Your Circuit?

    I frequently see the following circuit being used as a noise generator: ... where the transistors are basic npn bipolar transistors. Some authors attribute the noise to shot noise while others say it is avalanche noise. How do I determine which is correct?
  4. M

    Serial correlation coefficient (random data)

    OK, after a bit of grinding, here's what I have: Part of the problem had to do with the way Java (my preferred language) interprets bytes. They are signed. With that resolved... In his discussion of the serial correlation coefficient, John Walker references: Knuth, Donald E. The Art of...
  5. M

    Serial correlation coefficient (random data)

    Hi, I truncated the double precision number to 6 places. Here another dataset's results: ENT serial correlation: 0.009772 My approach: 0.0033341683347135162 0.003334
  6. M

    Serial correlation coefficient (random data)

    I have a byte array of length 16384 bytes obtained from random.org/bytes. There is a random number sequence test program available from http://www.fourmilab.ch/random/ that, when run on my byte array, returns the following: Entropy = 7.989469 bits per byte. Optimum compression would reduce...
  7. M

    Gaussian signal, extract uniform distribution of values

    Thanks Chogg, Back to the circuit board for me. Bitwise seems to be the way to go.
  8. M

    Gaussian signal, extract uniform distribution of values

    Noise from a reversed biased diode has a Gaussian PDF. In my experiments, the AC voltage leaving a reverse-biased zener sub-circuit is ~5 mA. An oscilloscope monitoring the output shows a promising fuzz. I amplify the signal using a 2-stage amplifier that magnifies the signal by ~500X and...
  9. M

    Gaussian signal, extract uniform distribution of values

    Hello, From an offset zener diode breakdown circuit, I have collected a set of bytes from an ADC. The values distribute normally as integers between 0 and 1024 with a mean of 512. I would like to use the data to create a set of random integers that distribute uniformly. So far, I have...
  10. M

    Could 5-Dimensional Bubbles Explain the Big Bang?

    Perhaps... The notion of a point is more often an undefined entity in geometry, an axiomatic primitive that has no meaning beyond the intuitive. Any rigorous definition results in a circular arguments. While a point may be designated with any number of dimensions depending on the space...
  11. M

    Could 5-Dimensional Bubbles Explain the Big Bang?

    Say I have two 5-dimensional bubbles moving towards one another in 5-dimensional space. When they touch, at the monent they touch, they meet at a 3-dimensional "point." As they join, the 4-dimensional hyperplane created their by common boundary immediately inflates from that point and expands...
  12. M

    How we know the universe has a beginning

    There is a paradox with one apparent explanation that implies a beginning. Consider that at every point-line-of-sight you examine in the sky has a star somewhere within it's path (and always has had one at some time in the universe's past). Why then is the sky not completely illuminated? One...
  13. M

    Filter Near-Zero Matrix Elements: Reasonable?

    Given A(m,n), eps = Machine Epsilon, fNorm = FrobeniusNorm(A), p >= 1 To filter noise near zero created by floating point error: if (|Aij| < fNorm * eps *p) Aij =0 end if Seem reasonable?
  14. M

    Math name for asymetric-pair relationship?

    Math name for "asymetric-pair" relationship? Say I have a function (F) that takes an input (P) and returns an output (E). Suppose F isn't invertible so, knowing F and E, one could not reconstruct P. Suppose also that there is another function (R) that can take E as input and returns P...
  15. M

    Hex number exponentiation - modulo

    I have a hexadecimal number: 0x83 I need to determine 0x83^11 mod 15. Where the 11 and 15 are decimal. I figured 0x83 = 131 decimal. 131^11 = 194977389846841709335931. 194977389846841709335931 mod 15 = 11 11 = 0x0b Does that seem right?
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