Signals, spectra, resonance, etc.

Thread starter Void123
Start date Oct 17, 2013
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Resonance Signals Spectra

In summary, a signal in science is a physical quantity that carries information and can be measured and analyzed. A spectrum is a representation of the different frequencies present in a signal and is useful for analyzing and understanding it. Resonance is when a system vibrates at its natural frequency in response to an external force, which can greatly affect the amplitude of a signal. Signal processing is used to analyze signals by identifying patterns and characteristics using mathematical tools. Signals, spectra, and resonance have various applications in fields such as telecommunications, medical imaging, and chemical analysis, as well as in studying natural phenomena in fields like astronomy and geology.

Oct 17, 2013

Void123

Quick question:

I keep seeing the following terms in my reading on nuclear magnetic resonance:

- Spectral linewidth
- Spectral bandwidth
- Signal bandwidth

Are these all qualitatively different terms? Or are they more or less referring to the same thing?

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Oct 17, 2013

UltrafastPED

Science Advisor

Gold Member

Yes, they are synonyms; see http://en.wikipedia.org/wiki/Spectral_linewidth

1. What is a signal in science?

A signal in science refers to any form of physical quantity that carries information. It can be in the form of sound, light, or electromagnetic waves and can be measured and analyzed to extract meaningful information.

2. What is a spectrum and how is it related to signals?

A spectrum is a representation of the different frequencies present in a signal. It is created by plotting the amplitude (or intensity) of the signal against its frequency. In other words, a spectrum shows the different components that make up a signal, making it a useful tool for analyzing and understanding signals.

3. What is resonance and how does it affect signals?

Resonance is the phenomenon in which a system or object vibrates at its natural frequency in response to an external force. In the context of signals, resonance can occur when the frequency of the external force matches the natural frequency of the system, resulting in a significant increase in the amplitude of the signal. This can be both desirable or undesirable, depending on the situation.

4. How is signal processing used to analyze signals?

Signal processing is a field of science that involves analyzing, modifying, and extracting information from signals. It uses mathematical tools and techniques to identify patterns and characteristics in signals, such as frequency, amplitude, and phase. This information can then be used to understand the underlying processes that produced the signal or to enhance the signal for better analysis.

5. What are the applications of signals, spectra, and resonance in science?

Signals, spectra, and resonance have a wide range of applications in various scientific fields. For example, they are used in telecommunications for transmitting and receiving information, in medical imaging for diagnosing diseases, and in chemical analysis for identifying compounds. They are also essential in fields such as astronomy, geology, and engineering for studying and understanding natural phenomena and processes.