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We use a random binary number generator to generate test data.
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A random number generator generated 1,000,000 random numbers.
To secure the watermark, our method generates the binary watermark based on nonlinear congruential – pseudorandom number generator (NC-PRNG) and randomly selects the embeddable position in the DWT domain of the subsequence.
Here, uniform random number generated by Mersenne Twister random number generator is used.
The random or pseudorandom iteration of four variants of the scaled and discretized Bernoulli map is used to design a pseudo-random number generator (PRNG), which can produce binary sequences with a known statistical distribution.
For an -point signal, a binary key sequence of length is generated using a cryptographically secure pseudo random number generator, the output of which belongs to either or.
Random numbers were generated using the uniform random number generator of Wichmann and Hill [ 47].
Random allocation sequence is generated through a computer random number generator.
That is, first a data file is generated using a normal distribution quasi-random number generator.
The random selection was based on randomly-generated integers from a web-based random number generator.
The background scenes were generated by an algorithm based on a random number generator.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com