noise-generator | 易学教程

How can generate impulse as outliers on periodic or sequenced-based data for doing experiments via outliers detection methods?

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来源： https://stackoverflow.com/questions/63175802/how-can-generate-impulse-as-outliers-on-periodic-or-sequenced-based-data-for-doi

How can generate impulse as outliers on periodic or sequenced-based data for doing experiments via outliers detection methods?

阅读更多关于 How can generate impulse as outliers on periodic or sequenced-based data for doing experiments via outliers detection methods?

来源： https://stackoverflow.com/questions/63175802/how-can-generate-impulse-as-outliers-on-periodic-or-sequenced-based-data-for-doi

Smoothing random noises with different amplitudes

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问题 I have a function that returns a bounded noise. For example, let's imagine that out input range is [-1, 1]. With my method I can return a bounded/in range noise (depending on the biome we are currently). /// <summary> /// Converts the range. /// </summary> /// <param name="originalStart">The original start.</param> /// <param name="originalEnd">The original end.</param> /// <param name="newStart">The new start.</param> /// <param name="newEnd">The new end.</param> /// <param name="value">The

Smoothing random noises with different amplitudes

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Gaussian random function

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问题 By using normrnd, I would like to create a normal distribution function with mean and sigma values expressed as vectors of size 1x45 varying from 1:45 and plot this simulated PDF with ideal values. Whenever I create a normrnd like the one expressed below, Gaussian = normrnd([1 45],[1 45],[1 500],length(c_t)); I am obtaining the following error, Size information is inconsistent. The reason for creating this PDF is to compute Chemical kinetics of a tracer with variable gaussian noise model.

c# faster way of setting pixel colours

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问题 I've picked up a project that creates a noise map using setPixel() . The majority of the runtime of this application is spent within the setPixel() function so I was looking to increase the speed at which the function executes. I have done some research into this and found that this: int index = x + (y * Width); int col = color.ToArgb(); if (this.Bits == null) { this.Bits = new Int32[Width * Height]; } Bits[index] = col; has been recommended as a quicker approach. However, this is generating

How to add appropriate noise to a graph

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问题 I have a matlab graph. Something like a trajectory. I want to add noise to graph. I tried adding normal distribution noise. using rand. e.g. x1=x+a*rand(size(x)); and similarly for y. The results are attached below. This is not what I want. This gives me a either scatter plot, or completely noisy plot. As illustrated below. The first row is what I did, third row what I want. Different graph columns stand for different standard deviation (value of a). Q. How to obtain third type (row) of plot?

Any Simplex Noise Tutorials or Resources? [closed]

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问题 Closed. This question is off-topic. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 3 years ago . I want to create a terrain-like 3D noise generator and after doing some research I came to the conclusion that Simplex Noise is by far the best type of noise to do this. I find the name quite misleading though as I have a lot of trouble finding resources on the subject and the resources I find are often not well

Any Simplex Noise Tutorials or Resources? [closed]

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I want to create a terrain-like 3D noise generator and after doing some research I came to the conclusion that Simplex Noise is by far the best type of noise to do this. I find the name quite misleading though as I have a lot of trouble finding resources on the subject and the resources I find are often not well written. What I am basically looking for is a good resource/tutorial explaining step by step how simplex noise works, and explains how to implement that into a program. I am not looking for resources explaining how to use a library or something. Richard Tingle In lue of a tutorial

What should be the input and output for an FFT image transformation?

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问题 I try to obtain the spectrum of an grayscale image using FFT Cooley–Tukey algorithm in Java. I don't know exactly how to form the input for the algorithm and what values from the output to use in order to form the spectrum image. Currently my input is an array of complex numbers, with Re = value of the pixel in 8bit grayscale domain and Im = 0; After running the algorithm I obtain another array of complex numbers with the real part having a lot of values out of [0,255] range and imaginary