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The characteristic impedance of paired copper wire is?
The characteristic impedance of paired copper wire is typically around 100-120 ohms. This value is important in determining signal integrity and impedance matching in communication systems.
What is dwt stands for?
DWT stands for discrete wavelet transform. It is a mathematical tool used for signal and image processing that breaks down a signal into different frequency components by using wavelets. It is commonly used for data compression and noise reduction.
Why can earthquakes signal possible volcanic eruption?
The movement of magma can cause movement in the surrounding rock, resulting in earthquakes.
How is the binding of a ligand to cell receptors may alter cell functions?
Some cell receptor is held with it some proteins that transform the signal when a particular ligand is bind. When a ligand binds to a receptor it results in conformation changes in the receptor. The receptor interact with the other protein attached to it and mediate signal transduction by producing some secondary messengers that's how the signal is amplified and create a respond.... (eg., G -Protein coupled receptor)
What are the characteristic of encoder?
It uses the previous few values of samples to predict the value of the next sample It encodes the difference between each actual signal and the predicted signal It reduces the number of bits to be sent
What are disadvantages of z transform?
1.z transform can not aaply in continious signal. 2.z transform can not analyse analog filter
What is a Z-transform?
A Z-transform is a mathematical transform which converts a discrete time-domain signal into a complex frequency-domain representation.
Which is not a characteristic of an analog signal?
impedance. An analogue signal, does not have a data, or sample, rate.
What are limitations of z transform?
1.z transform can not aaply in continious signal. 2.z transform can not analyse analog filter by - prakash kr
What mathematical process can you use to transform signal waveform of frequency domain into time domain. or the other way around?
This is called the Laplace transform and inverse Laplace transform.
What is relation between laplace transform and fourier transform?
The Laplace transform is related to the Fourier transform, but whereas the Fourier transform expresses a function or signal as a series of modes ofvibration (frequencies), the Laplace transform resolves a function into its moments. Like the Fourier transform, the Laplace transform is used for solving differential and integral equations.
Advantage of Z-transform in DSP?
obtaining the frequency respones of discret signal.
Why a signal that is band limited is not time-limited while a signal that is time-limited is not band limited Improve Answer Discuss the question Can a signal be time-limited and band-limited at th?
A band-limited signal is one in which the Fourier transform is zero above a certain frequency. In other words it's a signal that ahas a finite frequency content. The simplest case is a pure sinusoidal signal, whose Fourier transform consists of a delta function centred on the frequency of the signal. A band-limited signal can be reconstructed exactly if it is sampled at at more than twice the maximum frequency present in the signal. A time-limited signal is a signal that is zero above a finite. An example of this would be a short pulse. The reason a signal cannot be both band-limited or time-limited is due to their relationship via the Fourier transform. One can show it is impossible for the Fourier transform of a signal with compact support ie either time or band-limited, to also have compact support. A time-limited signal must have a continuous frequency spectrum existing over all possible frequencies and a band-limited signal can only arise from signal existing for all time. Note this indicates in reality it is impossible to have a truly band-limited signal as it would take infinite time to transmit, but it is nonetheless a useful concept and we can produce nearly band-limited signal to a high degree of accuracy.
What is the need for fourier transform in analog signal processing?
The fourier transform is used in analog signal processing in order to convert from time domain to frequency domain and back. By doing this, it is easier to implement filters, shifters, compression, etc.
How can a composite signal be decomposed?
Spectral analysis of a repetitive waveform into a harmonic series can be done by Fourier analyis. This idea is generalised in the Fourier transform which converts any function of time expressed as a into a transform function of frequency. The time function is generally real while the transform function, also known as a the spectrum, is generally complex. A function and its Fourier transform are known as a Fourier transform pair, and the original function is the inverse transform of the spectrum.
What will happen to the input signal when the transmission line is terminated by its characteristic impedence?
When the input signal to a transmission line is terminated by its characteristic impedance then the signal gets absorbed in the terminating impedance itself and is not reflected back along the line. Thus, no standing waves are produced in the transmission line.
How can you transform your acoustic guitar into an electric guitar?
You can transform your acoustic guitar into an electric guitar by installing a pickup, which is a device that captures the sound vibrations of the strings and converts them into an electric signal. This signal can then be amplified through an amplifier, allowing you to play your acoustic guitar with an electric sound.
