In this topic, you will learn about, Signal and System Introduction.
Analog image processing is applied on analog signals and it processes only two-dimensional signals. Analog signal is time-varying signals so the images formed under analog image processing get varied. It is generally continuous and not broken into tiny components.
The main characteristics of analog signals are frequency, amplitude, and phase. Analog signals recorded sound waves better than digital sound.
Frequency in the analog signal
In a given amount of time, the number of waves that passed through a fixed position is called frequency in the analog system.
Amplitude in the analog signal
It describes the height of a signal that is on the horizontal axis and the amplitude is always equal to the point given on waveform.
Phase in the analog signal
At the same frequency, when a wave occurs behind another wave or we can say the position of a point in time (instant) on a waveform cycle.
The best example of an analog signal is our voice. Whatever we speak generates sound waves and this sound travel through sound waves.
Human voice shows all the characteristics of analog signals as continuously and smoothly time-varying frequency or amplitude.
Digital signals are very easy to analyze and it has time-varying quantities and a discrete point at every sampling point. The digital signals are generated by digital modulation.
Digital signal is less accurate in comparison to analog signal but the best part in it is, it can be easily stored and accessed comfortably.
It is used everywhere today whether it be in computers, digital pens, digital phones, etc.