A fourth order, Type I, linear phase, FIR filter, h[n], is to be designed using the window method. The ideal impulse response of the filter is defined as:
hd[n] = sin([pi/4]*[n - N/2]) / ([n - N/2]*pi) ,
where N is the filter order and 'pi' denotes the mathematical (irrational) constant number 3.14159.... Given that a stopband attenuation of 50 dB is required,
a) Find and sketch h[n]
b) Determine the transfer function of the resulting digital filter
c) Draw the filter block diagram
d) Determine whether this filter is stable, justifying your answer.
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A fourth order, Type I, linear phase, FIR filter, h[n], is to be designed using the window method. The ideal impulse response of the filter is defined as: hd[n] = sin([pi/4]*[n - N/2]) / ([n - N/2]*pi) , where N is the filter order and 'pi' denotes the ma
The impulse response of an ideal band pass filter is given by the equation: n 0 h(n)=-sin(nw.) wl sin(nw!) nヂ0 Using the above equation, write a Matlab program that implements an approximation for the band pass filter with cut-off frequencies ω1-0.2π rad/sample and c02-0.3t rad/sample. Set the order of the filter to 100 or 101. Use a Bartlett window here. Plot the frequency and phase responses of this digital filter. The impulse response of an ideal band pass filter is...
Do it using Matlab. 1. The impulse response of an ideal band pass filter is given by the equation: n=0 h(n)w2 sin(n w2) w1 sin (n w1) T nwW2 Using the above equation, write a Matlab program that implements an approximation for the band pass filter with cut-off frequencies (1-0.2π rad/sample and ω2-0.3π rad/sample. Set the order of the filter to 100 or 101. Use a Bartlett window here. Plot the frequency and phase responses of this digital filter. Hint...
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answer in red box 1. Using the most appropriate window from Table 8.1 find a mathematical expression for the im pulse response h[n] of a low-pass type-II linear-phase FIR filter meeting the following specifica tions: . 2 4 kHz, f 6 kHz, 6, 0.1, δ,S 0.01, and a sampling frequency of F-20 kHz. h[n]- icos(2In/17)].sin(0.5JI(n 8.5))/JI(n - 8.5) for n-0,1,...,17; 0 otherwise 6. Use the bilinear transformation to design a digital Butterworth filter that meets the specifications in Problem 1....