An analog signal can be reconstructed from its sample values when the samples were taken often enough.
Exactly how often is "often enough" depends on how accurately you want to reconstruct the original. The crucial question is "what is the highest frequency of interest in the original signal?". The usual rule of thumb is to sample at a minimum of twice that frequency.
Beware. If you want to sample a piano playing a concert pitch A (440 Hz), your sample rate will depend on why you want to do it. If you just want to know that the piano played A rather than, say, middle C, a sample rate of 1KHz would do. However, if you want to be able to identify the instrument as a piano, a 1 KHz sample rate won't do at all. When the orchestra tunes up, and the Oboe gives an A, it doesn't sound anything like a piano. The fundamental note is 440 Hz just like the piano, but every musical instrument produces multiples of the fundamental, called harmonics. It is the number of harmonics and their relative amplititudes which gives the instrument its distinctive sound. These are the "highest frequency of interest".
In signal processing, the step of acquiring values of an analog signal at constant or variable rate is called sampling. This process involves measuring the amplitude of the analog signal at discrete intervals, which converts the continuous signal into a discrete signal. The sampling rate determines how frequently the signal is sampled, impacting the fidelity and quality of the reconstructed signal. Proper sampling techniques are essential to avoid issues like aliasing.
1. Digital Signal is non-continuous signal where as analog is continuous signal 2. Digital signal contain only two value that is 0 or 1,or high or low where as analog contain all the values in it's time interval 3.Chance of attenuation in analog is more then digital signal
THE TERM CONTINUOUS SIGNAL AND DISCRETE SIGNAL CLASSIFY THE SIGNALS ALONG THE TIME (i.e. horizontal axis) where as THE TERM ANALOG AND DIGITAL SIGNAL CLASSIFY THE SIGNAL ALONG THE AMPLITUDE (i.e vertical axis) we often confuse our-self with continuous time and analog signals. An analog signal is a signal which can take any amplitude in continuous range that is signal amplitude can take infinite values on the other hand a digital signal is one whose amplitude can take only finite numbers of values
Analog signals are continuous while digital signals are discrete
An analog signal is a continuous signal that represents varying information through changes in amplitude, frequency, or phase. Unlike digital signals, which use discrete values (usually binary), analog signals can take on an infinite number of values within a given range. Common examples include sound waves, temperature variations, and electrical signals in audio equipment. Analog signals are often used in applications where a smooth and continuous representation of data is essential.
In signal processing, the step of acquiring values of an analog signal at constant or variable rate is called sampling. This process involves measuring the amplitude of the analog signal at discrete intervals, which converts the continuous signal into a discrete signal. The sampling rate determines how frequently the signal is sampled, impacting the fidelity and quality of the reconstructed signal. Proper sampling techniques are essential to avoid issues like aliasing.
If the values are only 0 and 1 then the signal is digital.
An analog signal is a continuous signal that contains time-varying quantities. Unlike a digital signal, which has a discrete value at each sampling point, an analog signal has constant fluctuations. netonplus.com
1. Digital Signal is non-continuous signal where as analog is continuous signal 2. Digital signal contain only two value that is 0 or 1,or high or low where as analog contain all the values in it's time interval 3.Chance of attenuation in analog is more then digital signal
A digitizer graph can be used to convert analog signals into digital signals by sampling the analog signal at regular intervals and assigning numerical values to the sampled points. These numerical values represent the amplitude of the signal at each sampled point, allowing the analog signal to be represented in a digital format that can be processed and stored by a computer or other digital device.
THE TERM CONTINUOUS SIGNAL AND DISCRETE SIGNAL CLASSIFY THE SIGNALS ALONG THE TIME (i.e. horizontal axis) where as THE TERM ANALOG AND DIGITAL SIGNAL CLASSIFY THE SIGNAL ALONG THE AMPLITUDE (i.e vertical axis) we often confuse our-self with continuous time and analog signals. An analog signal is a signal which can take any amplitude in continuous range that is signal amplitude can take infinite values on the other hand a digital signal is one whose amplitude can take only finite numbers of values
we often confuse our-self with continuous time and analog signals. An analog signal is a signal which can take any amplitude in continuous range that is signal amplitude can take infinite values on the other hand a digital signal is one whose amplitude can take only finite numbers of values THE TERM CONTINUOUS SIGNAL AND DISCRETE SIGNAL CLASSIFY THE SIGNALS ALONG THE TIME (i.e. horizontal axis) where as THE TERM ANALOG AND DIGITAL SIGNAL CLASSIFY THE SIGNAL ALONG THE AMPLITUDE (i.e vertical axis)
THE TERM CONTINUOUS SIGNAL AND DISCRETE SIGNAL CLASSIFY THE SIGNALS ALONG THE TIME (i.e. horizontal axis) where as THE TERM ANALOG AND DIGITAL SIGNAL CLASSIFY THE SIGNAL ALONG THE AMPLITUDE (i.e vertical axis) we often confuse our-self with continuous time and analog signals. An analog signal is a signal which can take any amplitude in continuous range that is signal amplitude can take infinite values on the other hand a digital signal is one whose amplitude can take only finite numbers of values
Analog signals are continuous while digital signals are discrete
Analog signals, such as sound or light, are converted into digital form through a process called analog-to-digital conversion. This process involves quantizing the continuous analog signal into discrete, digital values represented by binary numbers. Once in digital form, the signal can be processed, stored, and transmitted more efficiently and accurately.
An analog signal is a continuous signal that represents varying information through changes in amplitude, frequency, or phase. Unlike digital signals, which use discrete values (usually binary), analog signals can take on an infinite number of values within a given range. Common examples include sound waves, temperature variations, and electrical signals in audio equipment. Analog signals are often used in applications where a smooth and continuous representation of data is essential.
Error resulting from trying to represent a continuous analog signal with discrete, stepped digital data. The problem arises when the analog value being sampled falls between two digital "steps." When this happens, the analog value must be represented by the nearest digital value, resulting in a very slight error. In other words, the difference between the continuous analog waveform, and the stair-stepped digital representation is quantization error.