The first experiment was based on convolution and correlation. The developed code was compiled using a GCC compiler. Convolution is usually between a signal and filter ie. system with single input and stored coefficients. Correlation is usually between two signal ie. two inputs and no stored coefficients. Correlation is used to find out similarity between signals.
For convolution y[n]=x[n] * h[n]
For correlation y[n]=x[n] o h[n]
For convolution y[n]=x[n] * h[n]
For correlation y[n]=x[n] o h[n]
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ReplyDeleteConvolution is used to find the output where as correlation is used to measure degree of similarity between two signals
ReplyDeleteConvolution can be used to find the degree of similarity in speech signal
DeleteConvolution is used to find output of system
ReplyDeleteIn real time applications input is taken using ADC.convolution is performed in DSP and output is given to dac.
DeleteThese codes can be used in implementation of higher end applications.
ReplyDeleteThe basic application of the convolution is to determine the response y[n] of a system of a known impulse response h[n] for a given input signal x[n]. to obtain y[n] you just have to calculate the convolution of the x[n] and h[n].
DeleteThey are used in most of the applications.
ReplyDeleteCorrelation is used to find similarity between two signals
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