Explain why the frequency response of discrete-time filters is
always
periodic.
Explain why the frequency response of discrete-time filters is always periodic.
- Frequency Response (Amplitude Response only). Hz). with frequency, 22. for a discrete time system shown below. *(-1) - x[-2] - ... -0 and yf-1) - Y[-2] ... - x[r] - int) Find “Math Model" for the system. nt) Find "Transfer Function" for the system. Draw the pole-zero plot for the system (use unit circle on Re-Im axis) Sketch the amplitude response of the system → indicate values at important points (92 = 0, 1/4, 21/4, 37/4, T) include detailed...
Consider a discrete-time LTI system with impulse response
Sketch the magnitude of the frequency response
of the system. Provide enough details in your sketch to convey the
pattern.
sin((2n/3)n hln h[n] =
Consider a discrete-time system with frequency response given by HO OSN< -<N<0 Determine the unit pulse response of this system, showing all your workings.
Question 5 (a) The impulse response of a discrete-time filter is given as, hin) 0.56n-1] +n-2)0.56 n -3]. i. Derive the filter's frequency response; 11. Roughly sketch the filter's magnitude response for 0 ii. Is it a low-pass or high-pass filter? Ω 2m; (b) A continuous-time signal se(t) is converted into a discrete-time signal as shown below. s(t) is a unit impulse train. s(t) x,) Conversion into x(1) __→ⓧ一ㄅㄧ-discrete-time sequence ー→ xu [n] The frequency spectrum of ap (t) is...
answer question(c) only
(7.5%) When causal filters are used in real-time signal processing, the output signal always lags the input signal. If the signal is recorded for later off-line filtering, then one simple appronch to eliminate this lag problem is: (i) filter the signal and record its response;) filter the recorded response backwards using the same filter; and (iii) store the resulting response backwards. Let the filter be a causal single pole filter 4. 0
The frequency response Hf(w) of a discrete-time LTI system is as shown. Hf(w) is real-valued so the phase is 0. Find the output y(n) when the input x(n) is x(n) = 1+cos(0.3πn). Put y(n) in simplest real form (your answer should not contain j)
Consider the discrete-time periodic signal n- 2 (a) Determine the Discrete-Time Fourier Series (DTFS) coefficients ak of X[n]. (b) Suppose that x[n] is the input to a discrete-time LTI system with impulse response hnuln - ]. Determine the Fourier series coefficients of the output yn. Hint: Recall that ejIn s an eigenfunction of an LTI system and that the response of the system to it is H(Q)ejfhn, where H(Q)-? h[n]e-jin
[10 points) Compute the frequency response H(12) for each of the following discrete-time systems: (a) y[k] = f[k] – 0.4f[k +5] (b) yſk] = f[k + 2] +0.2yſk – 4)
Linear-phase filters are desirable in many applications because they have a sharper frequency response. they do not cause phase-distortion of an input signal. they have better stop-band performance by eliminating side-lobes. they have the smallest number of filter coefficients compared to non-linear filters.
Electron configurations are not always 'predictable' from the periodic table Briefly explain why Cr and Cu have experimental electron configurations that differ from what is expected from the periodic table. Then explain why so many f block elements have ‘unusual’ experimental electron configurations.