A Digital Man - Hidden Truth Imagine Secret behind Invisible Voice
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Understanding of the Term "SIGNAL" related to this mission.
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The Signal.
The Signals shows a phenomenon, in the form of function of variables.
A signal is a function, of one or more variables, that indicate some (usually physical) phenomenon.
Signal serves, as carriers of information, between communication devices.
They can convey, different types of information, depending on the application required.
These signals can be of different forms.
Examples of Signals.
Human voice, and sound waves.
Voltage, in electrical circuits.
Room temperature controlled, by a thermostat system.
Position, speed, and acceleration of an aircraft.
Accelerometers measured, with accelerometers in mobile phones.
Force measured, with force sensors, in robotic systems.
Electromagnetic waves, used to transmit information, in wireless computer networks.
Digital photographs.
Digital Music Recording.
Types of Signals.
Analog Signals.
Digital Signals.
Real and Complex Signals.
Deterministic and Random Signals.
Periodic and Non-periodic Signals.
Analog Signals.
These signals are continuing.
Example: A real variable, and infinitely varying, with time parameter, or can take any value, within a given range.
These signals are represented, by the sine wave.
Example: Audio signals, temperature readings, sound waves, or television waves.
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Digital Signals.
A signal, that is a function of discrete variables.
Example: An integer variable is said to be discrete time, and this are represent in binary form (0 second and 1 second).
More robust against noise.
Commonly used in computer systems, and telecommunications.
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Real and Complex Signals.
If the value of the signal x(t) is a real number, the signal x(t) is also a real signal.
If the value of the signal x(t) is a complex number, the signal x(t) is complex signal.
In general, the complex signal x(t) is a function of the form.
x(t) = x1(t) + jx2(t)
where x1(t) and x2(t) are real symbols, j = V – 1.
The above equation represents a constant variable or the difference between the two.
Deterministic and Random Signals.
A deterministic signal is one, whose value is always specified exactly.
Therefore, the decision signal can be modeled, by knowing time t.
A random signal is one, that takes a significant amount of time, and needs to be characterized.
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Periodic and Non-Periodic Signals.
A continuous signal is a signal of infinite duration, that repeats the same pattern over, and over again is called periodic signal.
One-sided, or time-limited signals can never be periodic.
Any continuous-time signal, which is not periodic signal is known, as non-periodic (or aperiodic) signal.
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Signal Parameters.
Amplitude: The Maximum value reached by a signal.
Frequency: The number of cycles per unit time for periodic signals.
Phase: The position of a waveform relative to time zero.
Wavelength: The distance covered by one cycle of a periodic signal.
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Digital Signal Processing.
Analog signals have been the subject, of many studies in the past.
In recent years, digital signals have begun to attract more and more attention.
As for numbers, they can be processed, by the same logic circuits used, in digital computers.
Digital signal processing of analog signals requires, that we use an analog to digital converter (ADC), to sample the analog signal before processing, and a digital-to-analog converter (DAC), to convert the processed digital signal, back to Analog form.
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Digital barriers.
Example:
Until recently, music recording technology was comparable throughout, and music’s most important product was used, to make LP (long-play) records.
Digital discs replaced all of this in just a few years, making long playing records almost obsolete.
Analog and digital signals are the subject of this, and many other applications.
Unit Step.
Unit Impulse Signals.
Unit Ramp signal.
Unit parabolic signal.
Unit Step.
The continuous time function u(t) is defined, as a positive function, for its discrete time counterpart, the unit step is discontinuous at t = 0.
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Unit Impulse Signals.
The continuous-time unit impulse function δ(t), is related to the unit step in a manner analogous, to the relationship between the discrete-time unit impulse, and step functions.
Specifically, the continuous-time unit step function is obtained, by performing the running integral, of the unit impulse function.
We can think of a pulse as a long, narrow pulse for a region.
The width of the rectangular pulse is as small as, ε → 0.
Therefore, its height 1/ε → ∞ is a very large value.
The impact chamber can therefore be, thought of as a rectangular pulse, whose width will be infinitely small, its height will be infinitely large, and all areas are still together.
Therefore, only when t = 0 is δ(t) = 0 undefined.
Therefore, the unit blow is represented by the symbol spear.
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Unit Ramp Signal.
This signal is defined, as it starts from t = 0, and always increasingly Linearly.
The function r(t) means, that the signal will start at time zero, and immediately assume a slope, and depending on the given time characteristics.
Example: Positive or negative good, good, the signal will follow a straight, and curved path, Right or left, here it is on the right.
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Therefore, the ramp function r(t) is a critical function, that exists only on the positive side, and is zero on the negative side.
And can be expressed in the form of an equation as shown below.
Unit Parabolic Signal.
The amplitude increases, with the square of time.
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Periodic Signals.
Sinusoidal Signals.
A continuous time sine wave signal can be displayed.
x(t) = A . cos (ωt + θ).
where,
A is the amplitude (real).
ω is the radian frequency in radians per second.
θ is the phase angle in radians.
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Functional Signals.
Sinc Function.
Signum Function.
Continuous-Time Complex Exponential.
Sinc Function.
Since, time oscillates sinusoidally, and the ideal 1/t decreases with time, sinc(t) exhibits, decreasing oscillations.
At t = 0 the sinc function takes the indefinite form 0/0.
These signal plays a very important role, in Fourier analysis, communication systems, and signal processing.
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Signum Function.
Another function, that is closely related, to the unit step function is the named function.
The sign represented, by the symbol function is defined as follows:
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Continuous-Time Complex Exponential.
Real exponential signals: c and a are real.
Where C and a are, in general, complex numbers.
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If a Is positive, x(t), grows exponentially, as t increases, and this form is used, to describe many different physical processes.
Including communication in atomic explosions, and complex chemistry Reaction.
If either a is negative, then x(t) is a decay exponent.
This signal is also used, to describe many phenomena.
Including the radio decay process, and the response systems of RC circuits, and damped machines.
General Complex Exponential Signals.
Therefore, when r = 0, the real and imaginary parts, of the complex exponential are sinusoids.
r > 0, they correspond to the sinusoidal signal, multiplied by the growth exponent, and for,
r < 0, they correspond to the sinusoidal signal, multiplied by the decay exponent.
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Geometric signals.
Rectangular signal, and Triangular signal.
The rectangular pulse rect(t), and triangular pulse tri(t) are defined, as Both are properly symmetrical, and have unit area, and unit height.
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Applications of Signals in Electrical Circuits.
Communication Systems.
Signals are serving as data, in communication systems.
In Telephone, and wireless communication is based, on the signal Transmission.
Audio Systems.
Analog signals are present, during the audio system, and represent changes in audio parameters.
The signal is still used, in audio dispensation, and storage today.
Signal Processing.
Filtering, and processing are the most important, for some applications, like audio and video processing.
Adjustment, and Judgment techniques are used, to control the signals.
Radar and Sonar Systems.
Radar and sonar systems, use signals to sense, and locate objects.
When the output object is interrupted, or intermittent, by any other object, after that the return signal is analyzed, to obtain information.
Medical Imaging.
To detect the human body, so many new medical imaging technologies, (such as MRI and CT scans) use the signals.
Signals are in the form of electromagnetic waves. So, they are manipulated, to produce diagnostic images.
Comparison between Analog and Digital Signal.
Features.
Analog Signal.
Digital Signal.
Representation.
It has Continuous waveforms, and infinite number of values.
This is discrete, and finite values.
Representation medium.
Voltage, current and sound waves.
In Binary digits.
Waveform.
Smooth, and continuous curve.
Less Sensitive, to noise and interface.
Accuracy.
Sensitive, to noise and interface.
Less Sensitive, to noise and interface.
Processing.
Complex processing.
Easy processing, and flexible.
Bandwidth.
Bandwidth consumption is variable.
Bandwidth consumption is fixed.
Device Compatibility.
This are compatible, with traditional devices, such as analog cameras, analog audio systems etc..
This are compatible, with modern devices, such as computers, smartphones etc..
Power consumption.
Use more power.
Use less Power.
Example.
Temperature, flow measurement etc..
Motor start, trip etc..
Conclusion.
In the circuit, signals follow the script, that controls the operation of electronic devices.
Whether, analog signals, or digital signals, periodic or aperiodic signals, deterministic and random signals.
We can say that, the signals are information systems, for communication, control and processing.
As technology advances, understanding and controlling signals becomes important.
From simple, sine to digital model, signals still, form the basis of innovation in electrical engineering.
Role of signals in communication.
Signals are act, as messengers in communication.
They smooth the progress of data transfer, in telephone and wireless communications.
Audio signals used.
In audio systems, analog signals represent, changes in sound parameters, while digital signals are used in daily.
The Human Voice in the Universe or the Space or the outside planet Earth.
No, a human voice does not move in the universe or the Space or the outside planet Earth.
The Sound does not travel in the universe or the Space or the outside planet Earth.
The Sound waves travel, through vibrations in a medium, like air or water or solid, and cannot travel through empty space.
In the universe or the Space or the outside planet Earth, there are no atoms or molecules to carry sound waves, so there is no sound.
The Sound waves lose, energy over time.
As they travel through a medium, causing them to get quieter, and quieter until they disappear.
The Sound waves are reflected, by mediums.
Like walls, pillars, and rocks, which is known as an echo.
Can you hear sound in space.
No, you cannot hear any sounds, in near-empty regions of the space.
The Sound travels, through the vibration of atoms, and molecules in a medium, (such as air or water or solid).
In the universe or the Space or the outside planet Earth, where there is no air, sound has no way to travel.
Is it possible, to send messages, through brain waves of the human?.
Technical telepathy is the best method.
The electrical nature of the brain allows, not only for sending of signals, but also for the receiving of electrical pulses.
These can be delivered, in a non-invasive way, using a technique called transcranial magnetic stimulation (TMS).
What is the highest brain wave in Humans?.
Gamma brain waves are the fastest brain waves, produced inside human brain.
Although, they can be hard to measure accurately, they tend to measure above 35 Hz, and can oscillate as fast as 100 Hz.
Human brain tends to produce gamma waves.
How to measure brain activity in humans.
The Human Brain, is difficult to study, not only, because of its inherent complexity;
The billions of neurons, the hundreds or thousands of types of neurons, the trillions of connections.
The Human Brain, also works at a number of different scales, both in the physical sense and in the time domain.
To understand, the human brain’s electrical activity at these scales, no single technology is enough.
As a result, neuroscientists have a suite of tools, at their disposal.
Some of these, such as fMRI and EEG, can be used in humans, because they are non-invasive; they work through, by looking into the skull, But, these tools suffer, from a lack of detail.
To get a more microscopic picture, of neuron activity, researchers turn to human models.
This allows the behaviour of individual neurons, or small groups of neurons, to be analysed in much greater detail.
The main Questions, for which this mission exists.
1. The Human Mouth, and The Human Ears are having, fixed distances, and standard range.
2. The Sound speed is, only 343 meter per second.
3. The Diameter of the Planet Earth, is 12756 killometer, that is 1 crore, 27 lakh, 56 thousand, Meter.
4. How, these Voices or Sounds or Noises are listening, at the same time, that is simultaneously, in every corner.
5. How, these Voices or Sounds or Noises are listening, by each & every People, inside all the countries of whole world.
6. How, these Voices or Sounds or Noises are listening, by Peoples, in the universe or Space or outside planet Earth, where no air.
7. Why, these Voices or Sounds or Noises are unknown, generating source.
8. Nobody knows, from where generating, these Voices or Sounds or Noises.
9. First Conclusion is, there is no role of, Human Mouth, and Human Ears.
10. Only one body part, Human Brain is not having, fixed distances, or standard range.
11. The Human Brain is, no clear boundary, for what, it is capable of.
12. The Human Brain will hold, up to 1 quadrillion pieces of information, That is, 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 pieces of information. Till now, no body has confirmed about human brain's storage capacity.
13. Second Conclusion is, there is definitely role of the Human Brain, it is the last option.
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