0
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".
What else can I help you with?
In signal processing the step of acquiring values of an analog signal at constant or variable rate is called?
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.
Differentiate between an analog and a digital electromagnetic signal?
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
Difference between discrete and 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
Whats the difference between analog and digital signal?
Analog signals are continuous while digital signals are discrete
What is the difference between digital and analog signals?
Digital/Analog An analog or analog signal is any time continuous signal where some time varying feature of the signal is a representation of some other time varying quantity. It differs from a digital signal in that small fluctuations in the signal are meaningful. Analog is usually thought of in an electrical context, however mechanical, pneumatic, hydraulic, and other systems may also convey analog signals. An analog signal uses some property of the medium to convey the signal's information. For example, an aneroid barometer uses rotary position as the signal to convey pressure information. Electrically, the property most commonly used is voltage followed closely by frequency, current, and charge. Any information may be conveyed by an analog signal, often such a signal is a measured response to changes in physical phenomena, such as sound, light, temperature, position, or pressure, and is achieved using a transducer. For example, in sound recording, fluctuations in air pressure (that is to say, sound) strike the diaphragm of a microphone which causes corresponding fluctuations in a voltage or the current in an electric circuit. The voltage or the current is said to be an "analog" of the sound. Since an analog signal has a theoretically infinite resolution, it will always have a higher resolution than any digital system where the resolution is in discrete steps. In practice, as analog systems become more complex, effects such as nonlinearity and noise ultimately degrade analog resolution such that digital systems surpass it. In analog systems, it is difficult to detect when such degradation occurs, but in digital systems, degradation can not only be detected but corrected as well. Disadvantage The primary disadvantage of analog signaling is that any system has noise - i.e., random variation. As the signal is copied and re-copied, or transmitted over long distances, these random variations become dominant. Electrically, these losses can be diminished by shielding, good connections, and several cable types such as coaxial or twisted pair. The effects of noise make signal loss and distortion impossible to recover, since amplifying the signal to recover attenuated parts of the signal amplifies the noise as well. Even if the resolution of an analog signal is higher than a comparable digital signal, in many cases, the difference is overshadowed by the noise in the signal Digital The term digital signal is used to refer to more than one concept. It can refer to discrete-time signals that are digitized, or to the waveform signals in a digital system. Digital signals are digital representations of discrete-time signals, which are often derived from analog signals. An analog signal is a datum that changes over time-say, the temperature at a given location; the depth of a certain point in a pond; or the amplitude of the voltage at some node in a circuit that can be represented as a mathematical function, with time as the free variable (abscissa) and the signal itself as the dependent variable (ordinate). A discrete-time signal is a sampled version of an analog signal: the value of the datum is noted at fixed intervals (for example, every microsecond) rather than continuously. If individual time values of the discrete-time signal, instead of being measured precisely (which would require an infinite number of digits), are approximated to a certain precision-which, therefore, only requires a specific number of digits-then the resultant data stream is termed a digital signal. The process of approximating the precise value within a fixed number of digits, or bits, is called quantization. In conceptual summary, a digital signal is a quantized discrete-time signal; a discrete-time signal is a sampled analog signal. In the Digital Revolution, the usage of digital signals has increased significantly. Many modern media devices, especially the ones that connect with computers use digital signals to represent signals that were traditionally represented as continuous-time signals; cell phones, music and video players, personal video recorders, and digital cameras are examples. In most applications, digital signals are represented as binary numbers, so their precision of quantization is measured in bits. Suppose, for example, that we wish to measure a signal to two significant decimal digits. Since seven bits, or binary digits, can record 128 discrete values (viz., from 0 to 127), those seven bits are more than sufficient to express a range of one hundred values. Summary: Digital communication systems offer much more efficiency, better performance, and much greater the flexibility. Analog in a watch is where you have to read the numbers. Digital shows the numbers for you. a digital signal is what a computer system is based around; mainly zeros and ones / or noughts and ones as illustrated. a zero equates to zero volts approx . a one ( logic ) is 5 volts +_ a tolerance value. but there is limited range of signal in between these 2 points. a measured value of 2.5 volts would not be equal to either a logic 1 or nought . .... when a circuit / usually a transistor device switches on or off the voltage at its terminal usually changes from zero to 5 volts or logic 1 . the digital circuit only recognizes values at or around these 2 points and interprets them as a logic 1 or 0. .. in the case of the analog signal, the value could change between a negative value to positive or from zero to a positive value, within the supply constraints and still be recognized.
In signal processing the step of acquiring values of an analog signal at constant or variable rate is called?
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.
Signal has 0-1 values. is this will be analog or digital signal?
If the values are only 0 and 1 then the signal is digital.
What is an analog signal?
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
Differentiate between an analog and a digital electromagnetic signal?
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
How can a digitizer graph be used to convert analog signals into digital signals?
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.
What is difference between discrete and digital?
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
What is digital and analog?
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)
Difference between discrete and 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
Whats the difference between analog and digital signal?
Analog signals are continuous while digital signals are discrete
How did analog become digital?
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.
What is quantization error?
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.
What is the difference between analog and digital in very simple English?
Analog signals represent values with a continuously variable level. The signal has an infinite number of possible levels. Because the signal is infinitely variable, it can be affected by outside interference as well as by the circuits that carry and process the signal. These are the sources of noise and distortion. A system that handles analog information must be able to operate at the highest frequency that the signal will use. For audio, that is typically 20KHz and for video, in the region of 10MHz. A digital signal represents values in discrete steps and is often shown as a numeric value. The signal has a limited number of steps and there is no way to represent any intermediate values. The limitation in the number of steps is in itself a source of distortion but the nature of digital signals is that they are resistant to distortion and noise so the signal will not be degraded further. As the number of possible values increases, so the distortion caused by digitizing the signal will reduce. A digital system typically has to operate at far higher frequencies than its analog counterpart. Using audio signals as an example, a typical digital signal will capture a 16 bit value 44000 times each second. The frequency response of circuits handling the data will need to be in the region of 700KHz rather than the 20KHz for an analog signal.
