Thank you all for being here. Everyday there are new people coming here, and I'm working to address some of the more common issues with the words, and the built-in vocabulary of the technical field at task, yet also with the specific vocabular of the Schumann relative to the current place insociety at large.
I wanted to introduce a lesson in vocabulary. A shared vocabulary is a lexicon. Simply knowing words is not enough to carry the day. There needs to be a personal affiliation with the words, relative to our cdollective, group experience.
As we are moving forwards, I wanted to introduce more basic concepts for people to get a better understanding of, relative to the technical-side of the atmospheric resonances.
A Word On Frequency.
Frequency is a word which is misused, often. Frequency has traditionally mean the measurement of peak to peak event; such as a wave, which is measured crest-to-crest. Frequency has traditionally been used to describe peak-to-peak.
Now-a-days, frequency simply refers to anything in motion. However, when we talk about motion, it's relative to the thing moving, and that which is stationary.
What is actually in motion? emotions, feelings, inspiration, wishful-thinking? Timelines? Exactly what is in motion, and how would one go about measuring the thing in motion?
Straight-line frequency is velocity, or speed; as measured in kilometers per hour, eg. Amplitude frequency is straightline movement, which is measured as Intensity, on the pico deci-Bel scale.
Resonance is a standing wave, or harmonic frequency. This is closer to sympathetic vibrations; where it shares space, and does not propagate, as a wave properly might.
Harmonics come as a series, usually. Such is the case of the Schumann resonances. Harmonics are like "buzzing", or a "humming." Resonance harmonics are like a runner jogging in place.
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What is the "Schumann resonance signal"?
'Signal' is a word used to describe a defined segnment of the 'overall spectrum' [the "general information" of the entire spectrum]. Schumann resonances are atmospheric harmonics defined as the range between 0.3 to 46 (possibly 52) Hertz harmonic.
When measuring the Schumann Resonances, there is both an amplitude, and a quality element; inaddition to the measure of peak-to-peak distance. These contributing factors are called 'dependencies'.
These dependencies are tracked by means of a series of MODES. A mode is a relative comparison between the size, and shape of the Amplitude, in comparison to the Quality.
The Mode is a theoretical model of the size and shape of the waveform; expressing the constraints of the actual waveform of the FUNDAMENTAL. The Fundamental is the originating wave(s) initial frequency. In our case, the fundamental frequency is 10 .5 Hertz, which is the frequency of light travelling around the sphere of the planet. In a second, it has made 10+ trips around the globe; thereby creating a series of harmonics in the atmosphere, as a result
The "dependency" is the raw data, which is the signal that is actually measured by the antenna hardware.
Amplitude is the electric-side of the EMF signal. Quality is the magnetic flux of the EMF signal.
Resonance is a standing wave; which is also called an interference pattern. Resonances happen as a result of two fundamental waves. which interfere with each other.
Harmonics are a series of resonances: the first harmonic is 7.8 Hertz; followed by ~14.1 Hz; followed by ~20.7 Hz; followed by ~27.1 Hz; followed by ~33.3 Hz; followed by ~39.9 Hz. Schumann resonances are a series of atmospheric harmonics
Schumann resonances are atmospheric electromagnetic standing waves, which bounce around in the atmosphere between the ionosphere and the earth's surface.
Schumann resonances occur in the space betwen the Earth's surface (Earth ground), and the ionosphere.
Schumann resonances are atmospheric electromagnetics, which stay "stationed" within the atmosphere.
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Frequency.
"Frequency is the number of occurrences of a repeating event per unit of time.[1]
It is also referred to as temporal frequency, which emphasizes the contrast to spatial frequency and angular frequency.
Frequency is measured in hertz (Hz) which is equal to one occurrence of a repeating event per second.
The period is the duration of time of one cycle in a repeating event, so the period is the reciprocal of the frequency.[2]
For example: if a newborn baby's heart beats at a frequency of 120 times a minute (2 hertz), its period, T—the time interval between beats—is half a second (60 seconds divided by 120 beats).
Frequency is an important parameter used in science and engineering to specify the rate of oscillatory and vibratory phenomena, such as mechanical vibrations, audio signals (sound), radio waves, and light."
[Source: (https://en.wikipedia.org/wiki/Frequency)]
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Velocity.
"The velocity of an object is the rate of change of its position with respect to a frame of reference, and is a function of time. Velocity is equivalent to a specification of an object's speed and direction of motion (e.g. 60 km/h to the north).
Velocity is a fundamental concept in kinematics, the branch of classical mechanics that describes the motion of bodies.
Velocity is a physical vector quantity; both magnitude and direction are needed to define it.
The scalar absolute value (magnitude) of velocity is called speed, being a coherent derived unit whose quantity is measured in the SI (metric system) as metres per second (m/s) or as the SI base unit of (m⋅s−1).
For example, "5 metres per second" is a scalar, whereas "5 metres per second east" is a vector.
If there is a change in speed, direction or both, then the object has a changing velocity and is said to be undergoing an acceleration."
[Source: (https://en.wikipedia.org/wiki/Velocity)]
Oscillation.
"Oscillation is the repetitive variation, typically in time, of some measure about a central value (often a point of equilibrium) or between two or more different states. The term vibration is precisely used to describe mechanical oscillation. Familiar examples of oscillation include a swinging pendulum and alternating current.
Oscillations occur not only in mechanical systems but also in dynamic systems in virtually every area of science: for example the beating of the human heart (for circulation), business cycles in economics, predator–prey population cycles in ecology, geothermal geysers in geology, vibration of strings in guitar and other string instruments, periodic firing of nerve cells in the brain, and the periodic swelling of Cepheid variable stars in astronomy."
[Source: (https://en.wikipedia.org/wiki/Oscillation)]
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Resonance.
Resonance describes the phenomenon of increased amplitude that occurs when the frequency of a periodically applied force (or a Fourier* component of it) is equal or close to a natural frequency of the system on which it acts. When an oscillating force is applied at a resonant frequency of a dynamical system, the system will oscillate at a higher amplitude than when the same force is applied at other, non-resonant frequencies.[3]
Frequencies at which the response amplitude is a relative maximum are also known as resonant frequencies or resonance frequencies of the system.[3] Small periodic forces that are near a resonant frequency of the system have the ability to produce large amplitude oscillations in the system due to the storage of vibrational energy.
Resonance phenomena occur with all types of vibrations or waves: there is mechanical resonance, acoustic resonance, electromagnetic resonance, nuclear magnetic resonance (NMR), electron spin resonance (ESR) and resonance of quantum wave functions. Resonant systems can be used to generate vibrations of a specific frequency (e.g., musical instruments), or pick out specific frequencies from a complex vibration containing many frequencies (e.g., filters).
The term resonance (from Latin resonantia, 'echo', from resonare, 'resound') originated from the field of acoustics, particularly the sympathetic resonance observed in musical instruments, e.g., when one string starts to vibrate and produce sound after a different one is struck.
Another example, electrical resonance, occurs in a circuit with capacitors and inductors because the collapsing magnetic field of the inductor generates an electric current in its windings that charges the capacitor, and then the discharging capacitor provides an electric current that builds the magnetic field in the inductor. Once the circuit is charged, the oscillation is self-sustaining, and there is no external periodic driving action.
This is analogous to a mechanical pendulum, where mechanical energy is converted back and forth between kinetic and potential, and both systems are forms of simple harmonic oscillators.
[Source: (https://en.wikipedia.org/wiki/Resonance)];
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*Fourier.
In mathematics, Fourier analysis (/ˈfʊrieɪ, -iər/)[1] is the study of the way general functions may be represented or approximated by sums of simpler trigonometric functions. Fourier analysis grew from the study of Fourier series, and is named after Joseph Fourier, who showed that representing a function as a sum of trigonometric functions greatly simplifies the study of heat transfer.
Today, the subject of Fourier analysis encompasses a vast spectrum of mathematics.
In the sciences and engineering, the process of decomposing a function into oscillatory components is often called Fourier analysis, while the operation of rebuilding the function from these pieces is known as Fourier synthesis. For example, determining what component frequencies are present in a musical note would involve computing the Fourier transform of a sampled musical note.
One could then re-synthesize the same sound by including the frequency components as revealed in the Fourier analysis. In mathematics, the term Fourier analysis often refers to the study of both operations.
The decomposition process itself is called a Fourier transformation. Its output, the Fourier transform, is often given a more specific name, which depends on the domain and other properties of the function being transformed.
Moreover, the original concept of Fourier analysis has been extended over time to apply to more and more abstract and general situations, and the general field is often known as harmonic analysis.
Each transform used for analysis (see list of Fourier-related transforms) has a corresponding inverse transform that can be used for synthesis.
[Source: (https://en.wikipedia.org/wiki/Fourier_analysis)]
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