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Noise (spectral phenomenon)

Noise (spectral phenomenon) is a physics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Noise (spectral phenomenon) rather than just read about it. In short: Noise is any type of random, troublesome, problematic, or unwanted signals. Acoustic noise may mar aesthetic experience, such as attending a concert hall.

Key takeaways

  • Noise (spectral phenomenon) belongs to physics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Noise (spectral phenomenon) to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Noise (spectral phenomenon) from memory before moving on to harder problems.

Reference excerpt

Noise is any type of random, troublesome, problematic, or unwanted signals. Acoustic noise may mar aesthetic experience, such as attending a concert hall. It may also be a medical issue inherent in the biology of hearing. In technology, noise is unwanted signals in a device or apparatus, commonly of an electrical nature. The nature of noise is much studied in mathematics and is a prominent topic in statistics. This article provides a survey of specific topics linked to their primary articles.

Acoustic noise

In transportation Aircraft noise Jet noise, caused by high-velocity jets and turbulent eddies Noise and vibration on maritime vessels Noise, vibration, and harshness, quality criteria for vehicles Traffic noise, including roadway noise and train noise

Other acoustic noise Artificial noise, in spectator sports Background noise, in acoustics, any sound other than the monitored one Comfort noise, used in telecommunications to fill silent gaps Grey noise, random noise with a psychoacoustic adjusted spectrum Industrial noise, relevant to hearing damage and industrial hygiene Noise pollution, that affects negatively the quality of life

Noise in biology Cellular noise, in biology, random variability between cells Developmental noise, variations among living beings with the same genome Neuronal noise, in neuroscience Synaptic noise, in neuroscience Transcriptional noise, in biochemistry, errors in genetic transcription

Noise in computer graphics Noise in computer graphics refers to various pseudo-random functions used to create textures, including:

Gradient noise, created by interpolation of a lattice of pseudorandom gradients Perlin noise, a type of gradient noise developed in 1983 Simplex noise, a method for constructing an n-dimensional noise function comparable to Perlin noise Simulation noise, a function that creates a divergence-free field Value noise, created by interpolation of a lattice of pseudorandom values; differs from gradient noise Wavelet noise, an alternative to Perlin noise which reduces problems of aliasing and detail loss Worley noise, a noise function introduced by Steven Worley in 1996

Noise in electronics and radio Noise (signal processing), various types of interference Noise (electronics), related to electronic circuitry Ground noise, appearing at the ground terminal of audio equipment Image noise, related to digital photography Noise (radio), interference related to radio signals Atmospheric noise, radio noise caused by lightning Cosmic noise, radio noise from outside the Earth's atmosphere Noise (video), "snow" on video or television pictures

Noise in mathematics Any one of many statistical types or colors of noise, such as White noise, which has constant power spectral density Gaussian noise, with a probability density function equal to that of the normal distribution Pink noise, with spectral density inversely proportional to frequency Brownian noise or "brown" noise, with spectral density inversely proportional to the square of frequency Pseudorandom noise, in cryptography, artificial signal that can pass for random Statistical noise, a colloquialism for recognized amounts of unexplained variation in a sample Shot noise, noise which can be modeled by a Poisson process Noise-based logic, where logic values are different stochastic processes Noise print, a statistical signature of ambient noise, used in its suppression

Other types of noise Electrochemical noise, electrical fluctuations in electrolysis, corrosion, etc. Phonon noise, in materials science Seismic noise, random tremors of the ground

Measures of noise intensity Noise figure, the ratio of the output noise power to attributable thermal noise Ambient noise level, the background sound pressure level at a given location Noise power, with several related meanings Noise spectral density, No measured in Watt/Hertz Noise temperature, temperature that would produce equivalent semiconductor noise

See also Noise (disambiguation)

Worked examples

Example 1 — a first encounter with Noise (spectral phenomenon)

Start with the simplest possible case. Write down what Noise (spectral phenomenon) claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In physics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Noise (spectral phenomenon) before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Noise (spectral phenomenon) ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Noise (spectral phenomenon)

In research
Noise (spectral phenomenon) appears in physics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Noise (spectral phenomenon) in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Noise (spectral phenomenon) is common in secondary-school and first-year university syllabi. It links to neighbouring topics Mechanical vibrations, Noise, Noise (electronics), so understanding it makes those chapters shorter.
In everyday life
Look for Noise (spectral phenomenon) outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Noise (spectral phenomenon) in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Noise (spectral phenomenon) means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Noise (spectral phenomenon) out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Noise (spectral phenomenon) in simple terms?

Noise is any type of random, troublesome, problematic, or unwanted signals. Acoustic noise may mar aesthetic experience, such as attending a concert hall.

Why does Noise (spectral phenomenon) matter?

Because it connects several physics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Noise (spectral phenomenon)?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Noise (spectral phenomenon).

Tags

  • Mechanical vibrations
  • Noise
  • Noise (electronics)
  • Set index articles

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