Podcast
Questions and Answers
For a LPF, given digital specifications, select the ______ type from the given attenuation K2.
For a LPF, given digital specifications, select the ______ type from the given attenuation K2.
window
Select the number of points in the window from the ______ below using (Table 4-3).
Select the number of points in the window from the ______ below using (Table 4-3).
table
Find the frequency ______.
Find the frequency ______.
response
In case of A/D-H(z)-D/A → Step 0 → 𝝎𝒊 = Ωሖ 𝒊 ______.
In case of A/D-H(z)-D/A → Step 0 → 𝝎𝒊 = Ωሖ 𝒊 ______.
The design procedure for an FIR LPF can be found on page ______.
The design procedure for an FIR LPF can be found on page ______.
Flashcards
A/D Conversion
A/D Conversion
A process of converting a continuous-time signal into a discrete-time signal.
FIR Filter
FIR Filter
A type of digital filter with a finite impulse response (FIR). This means that the filter's output only depends on a finite number of past input samples.
K2 (Attenuation)
K2 (Attenuation)
A parameter used in FIR filter design to specify the desired stopband attenuation. It determines the steepness of the transition band.
D/A Conversion
D/A Conversion
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Window Type Selection
Window Type Selection
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Study Notes
Digital Signal Processing Lecture Notes
- Lecture is on FIR Filter Design for a 4th-Year Communication Department
- Lecturer is Dr. Ibrahim el metwally from Misr Engineering and Technology (MET)
FIR Filter Design Theorem
- A necessary and sufficient condition for linear phase in a discrete-time system with impulse response h(n) is that h(n) has finite duration N and is symmetric about its midpoint.
- h(n) = ha(n), for N1 ≤ n ≤ N2
- h(n) = 0, otherwise
Frequency Response
- Figure 4.13 shows the frequency response obtained by rectangularly windowing an ideal low-pass impulse response.
- The frequency response is represented as H(ejw) which is equal to h(n) * w(n)
Window Equations
- Rectangular: wR(n) = 1, 0 ≤ n ≤ N-1; 0, elsewhere
- Bartlett: wB(n) = 2n/(N-1), 0 ≤ n ≤ (N-1)/2; 2 - 2n/(N-1), (N-1)/2 ≤ n ≤ N-1; 0, elsewhere
- Hanning: wHan(n) = [1 - cos(2πn/(N-1))]/2, 0 ≤ n ≤ N-1; 0, elsewhere
- Hamming: wHam(n) = 0.54 - 0.46 cos(2πn/(N-1)), 0 ≤ n ≤ N-1; 0, elsewhere
- Blackman: wBlack(n) = 0.42 - 0.5 cos(2πn/(N-1)) + 0.08 cos(4πn/(N-1)), 0 ≤ n ≤ N-1; 0, elsewhere
Design Procedure
- Step 1: Select window type based on given attenuation (K2)
- Step 2: Determine the number of points (N) in the window using N ≥ k * 2π/(ω2 - ω1) (refer to Table 4-3)
- Step 3: Calculate ω and α: ω = ωc; α = (N - 1)/2
- Step 4: Calculate h(n): h(n) = [sin(ω(n - α))]/[π(n - α)] * w(n)
- Step 5: Find the frequency response
Design Table for FIR Low-Pass Filter
- Table 4.3 provides transition width and minimum stopband attenuation for different window types(Rectangular, Bartlett, Hanning, Hamming, Blackman, Kaiser)
Example Design
- Design a low-pass digital filter for an A/D-H(z)-D/A structure with a 3-dB cutoff of 30π rad/sec and 50 dB attenuation at 45π rad/sec. The sampling rate is 100 samples/sec.
- A Hamming window is chosen for its narrow transition band.
Example Calculation (Continued)
- Calculate approximate number of points (N) needed to satisfy the transition band requirement.
- The next odd integer is selected for N (e.g., 55).
- Determine ωc and α using relevant equations.
- Calculate a trial impulse response function h(n) using the chosen window type.
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