Digital signal processing and processors the subject in which we first time got to know how the signals are generated and implemented in real world application.We first time got introduced to technology which is the foundation of today's digital world.
In this experiment we performed convolution and correlation which are basic part of any digital processors which processes an analog signals.We performed this experiment using C programming.
Convolution:In linear convolution the output signal has length one less of addition of input signals.In circular convolution the output was equal to size of maximum of input signals.
Correlation:This method is used to find the similarities between input signals and the center value of signal gives the energy of the signals.
In this experiment we performed convolution and correlation which are basic part of any digital processors which processes an analog signals.We performed this experiment using C programming.
Convolution:In linear convolution the output signal has length one less of addition of input signals.In circular convolution the output was equal to size of maximum of input signals.
Correlation:This method is used to find the similarities between input signals and the center value of signal gives the energy of the signals.
Linear Convolution can be performed using Circular convolution algorithm.
ReplyDeleteIt can be performed
DeleteCorrelation is used to find degree of similarity of two signals
ReplyDeleteYes
DeleteCorrelation has application in many fields where matching of signal is required
ReplyDeleteLike in speech recognition
DeleteConvolution is to find filter output provided impulse response is given.
ReplyDeleteOutput of filter is linear convolution
DeleteConvolution is important application that we understood
ReplyDeleteThanks
DeleteCorrelation is used to find similarity between signals
ReplyDeleteYeah in speech recognition
DeleteCorrelation is used to find the degree of similarity between two signals
ReplyDeleteYeah in speech recognition
ReplyDeleteThank you
ReplyDelete