Подробно реши третье задание из прикрепленного файла. Ответ на английском, подробное описание.
Thought
Analyzing the filter behavior and impulse response
The user wants to solve Problem 3 in detail. The frequency response needs to be modified to F(ω)=H(ω−3π/8), utilizing the frequency shift property. This shifts the time-domain solution by adjusting the impulse response formula. I'll confirm the mapping from H(z) to H(ω) to ensure accuracy in the solution.
Explaining the impulse response and frequency shift
The impulse response starts from the original H(z), identifying values like h[0]=1, h[1]=2, etc. Then, we apply the frequency shift to get f[n]=e^{j(3π/8)n} h[n]. I'll express this using complex exponentials (cos and sin) and potentially convert to the z-domain for F(z). I'll focus on applying the frequency shift property carefully.
Computing the impulse response with detailed calculations
I'll recheck the sign and direction for accuracy, expressing the new impulse response with a complex form due to the modulation factor. I’ll break down each value for clarity:
For n=1: exponent gives a value of 2 e^{j3π/8} ≈ 0.7654 + j1.8478. For n=3: f[3] ≈ -7.3912 − j3.0616. Complex coefficients are expected, though real-valued alternatives could be explored.
Providing a step-by-step explanation of the impulse response
We don’t need approximations for the trig functions, so I’ll leave them symbolic (cos(...), sin(...)) for simplicity. We’ll express the impulse response as {1, 2 e^{j3π/8}, 4 e^{j3π/4}, 8 e^{j9π/8}} for n=0..3. I’ll explain why this follows the modulation pattern. The citation to the PDF will be included.
Thought for 44s
Answer
We’re solving Problem 3 from your PDF: fileciteturn0file0L14-L20
A filter has the transfer function H(z)=1+2z−1+4z−2+8z−3.
Determine the impulse response of the filter with the modified frequency response F(ω)=H(ω−3π/8).
1. Original filter: transfer function → impulse response
For a causal LTI discrete–time system, the transfer function in z-domain is
H(z)=n=−∞∑∞h[n]z−n
Comparing this with the given
H(z)=1+2z−1+4z−2+8z−3
we can read off the impulse response coefficients directly:
The coefficient of z0 is 1 → h[0]=1
The coefficient of z−1 is 2 → h[1]=2
The coefficient of z−2 is 4 → h[2]=4
The coefficient of z−3 is 8 → h[3]=8
No other powers appear → h[n]=0 for n<0 and n>3
So the original impulse response is
h[n]=⎩⎨⎧1,2,4,8,0,n=0n=1n=2n=3otherwise
2. Frequency response and DTFT reminder
The frequency response of the filter is
H(ejω)=n=−∞∑∞h[n]e−jωn
This is just the DTFT (discrete-time Fourier transform) of h[n].
Now we’re told that the new filter has a frequency response
F(ω)=H(ω−3π/8)
In standard notation, that means
F(ejω)=H(ej(ω−3π/8))
So it is the original frequency response shifted along the ω-axis by +3π/8.
3. Time–frequency shift property
We use the frequency-shift property of the DTFT:
If h[n]FH(ejω),
then the sequence h[n]ejω0n has DTFT H(ej(ω−ω0)).
In symbols:
h[n]DTFTH(ejω)h[n]ejω0nDTFTH(ej(ω−ω0))
Compare this to our definition:
F(ejω)=H(ej(ω−3π/8))
So here, ω0=3π/8. That means the new impulse response f[n] is related to the old one h[n] as:
f[n]=h[n]ej(3π/8)n
This is the key step: shifting the frequency response by +3π/8 corresponds to multiplying the time-domain impulse response by ej(3π/8)n.
4. Explicit form of the new impulse response
We already know h[n] is non-zero only for n=0,1,2,3. So compute f[n] on these indices: