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What is the importance of convolution in system characterization?
Wiki User
∙ 12y ago
Convolution is used in DIGITAL SIGNAL PROCESSING to predict the output of the system with only a few limited number of samples of the input signal and a few limited number of samples of the impulse response of the system. i.e. if we can state that if you know the impulse response of a system then you can predict the behavior of the system for any signal provided it as an input. It also helps to show that the system is stable or not i.e. we say that a system is stable if its impulse response is absolutely summable or square summable (both are sufficient conditions but not necessary conditions).
Wiki User
∙ 12y ago
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What is the need for convolution in digital signal processing?
If we need to add two signals in time domain, we perform convolution. A better way, is to convert the two signals from time domain to frequency domain. This can be achieved by FAST FOURIER TRANFORM. Once both the signals have been converted to frequency domain, they can simply be multiplied. Since Convolution in time domain is similar to multiplying in Frequency domain. Once both the signals have been multiplied, they can be converted back to time domain by Inverse Fourier Transform method. Thus achieving accurate results.
What is the importance of signs signals and codes?
What is the importance of signs signals and codes
What is the importance of voltage?
importance of voltage is the potential difference between two points.
What is diode fabrication?
A simple process sequence for the fabrication of passivated mesa diode arrays for photovoltaic characterization of single/polycrystalline silicon substrates is described. These diodes are used to measure a variety of substrate and cell parameters
What is the application of z transform?
Type your answer here... APPLICATIONS OF Z TRANSFORM· Application of the z Transform to the Analysis of Linear Discrete Systems.· Application of the z Transform to the Simulation of Continuous Systems.· Application of the z Transform to the Analysis of Digital Filters.· Application of the z Transform to the Analysis of Discrete Signals.he z Transform to the Analysis of Digital Filters.One of the major applications of the z-transform is used as an analysis tool for discrete-timeLTI systems. In particular, we will use the z-transform for finding the frequency responseand evaluating the stability of discrete-time LTI systems.From the convolution property of z-transform, we have the relationship between the ztransformsof input and output sequences of a discrete-time LTI system asY(z) = H(z)X (z)where X (z), Y(z) and H(z) are the z-transforms of the system input, output and impulseresponse, respectively. H(z) is referred as the system function or transfer function of thesystem.
Convolution theorem in signal and system?
pls tel me in details with example
Why is the need for circular convolution?
for finding convolution of periodic signals we use circular convolution
What is convolution of two systems connected in series?
there is nothing when you connect the system in series
Can you perform a linear convolution from circular convolution?
yes we can perform linear convolution from circular convolution, but the thing is zero pading must be done upto N1+N2-1 inputs.
Diff between linear and circular convolution?
there is a big difference between circular and linear convolution , in linear convolution we convolved one signal with another signal where as in circular convolution the same convolution is done but in circular patteren ,depending upon the samples of the signal
State and prove convolution theorem for fourier transform?
Convolution TheoremsThe convolution theorem states that convolution in time domain corresponds to multiplication in frequency domain and vice versa:Proof of (a):Proof of (b):
Applications of Circular convolution?
for finding convolution of periodic signals we use circular convolution
How do you put the word convolution in a sentence?
This is how I use convolution in a sentence. :D
Difference between linear and circular convolution?
circular convolution is used for periodic and finite signals while linear convolution is used for aperiodic and infinite signals. In linear convolution we convolved one signal with another signal where as in circular convolution the same convolution is done but in circular pattern ,depending upon the samples of the signal
What is frequency counterpart of convolution?
Convolution in the time domain is equivalent to multiplication in the frequency domain.
What are the Differences between Convolution and correlation?
A convolution is an integral that expresses the amount of overlap of one function as it is shifted over another function.You can use correlation to compare the similarity of two sets of data. Correlation computes a measure of similarity of two input signals as they are shifted by one another. The correlation result reaches a maximum at the time when the two signals match bestThe difference between convolution and correlation is that convolution is a filtering operation and correlation is a measure of relatedness of two signalsYou can use convolution to compute the response of a linear system to an input signal. Convolution is also the time-domain equivalent of filtering in the frequency domain.
What are the release dates for Convolution - 2012?
Convolution - 2012 was released on: USA: 24 August 2012
