Signal Processing
Let me briefly share my understanding on the cascaded integrator comb (CIC) filter, thanks to the nice article. For understanding the cascaded integrator comb (CIC) filter, firstly let us understand the moving average filter, which is accumulation latest samples of an input sequence
.
Continue reading “Example of Cascaded Integrator Comb filter in Matlab”
In typical digital signal processing applications, there arises need to increase the sampling frequency of a signal sequence, where the higher sampling frequency is an integer multiple of the original sampling frequency i.e for a signal sequence with a sampling frequency
, change the sampling frequency to
, where
is an integer.
In problem 9.14 of DSP-Proakis, the objective is to analyze the effect of zero-order interpolation and first-order interpolation to double the number of samples in the sinusoidal
while keeping the sampling frequency unchanged.
My take:
The first part of the problem (a) is to generate the sequence having half the frequency of
. For zero-order interpolation, the interpolated samples can be generated by holding the current sample till the new sampling instant (Ref: Section 9.3.1 -Sample and Hold [1]). The impulse response of such a system is a rectangular function.
Continue reading “Zero-order hold and first-order hold based interpolation”
