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Lecture notes on continuous-time and discrete-time sinusoids, covering topics such as their definition, period, frequency, dc component, rms value, sum of multiple sinusoids, and elementary signal operations like translation. It also discusses the difference between continuous-time and discrete-time sinusoids.
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DEF: A sinusoidal signal has the standard form x(t) = A cos(ωot + φ). Where: A ≥ 0=amplitude; ωo ≥ 0=frequency; |φ| ≤ π=phase (shift). Freq: fo = ωo/(2π)=circular or cyclic frequency in Hertz=cycles per second. Note: Sinusoid x(t) = A cos(2πfot + φ) has cyclic frequency fo Hertz. Period: T = (^) f^1 o = (^2) ωπo → x(t) = x(t + T ) for all t using cos(x) = cos(x + 2kπ). DC: DC (constant) signals: ωo = fo = 0; T = ∞ (low-frequency limit).
RMS(x)=
1 T
(^2) cos (^2) (ωot + φ)dt =
1 T
0
A^2 2 (1 + cos(2ωot^ + 2φ))dt^ =^ √A 2 using cos^2 (x) = 12 (1 + cos(2x)) and M (cos(t)) = 0 (by inspection). DC: ωo = 0 → x(t) = A cos φ → RM S(x) = A| cos φ| ≥ 0 (note A ≥ 0).
Note: Can convert other forms to this standard form. Some examples:
x(t): Continuous-time sinusoids are periodic with period T = (^) f^1 o = (^2) ωπo. x[n]: Discrete-time sinusoids are NOT periodic UNLESS fo is rational. ωo = 2π KT ⇔ x[n] has period T , provided KT is reduced to lowest terms. Why? A cos(ωon + φ) = A cos(ωo(n + T ) + φ) ⇔ ωoT = 2πk ⇔ fo = ω 2 πo = (^) Tk. EX: ωo = 2π → T = 1; ωo = (2.02)π → T = 100; ω 0 = 2 →nonperiodic. Freq.: A cos(ωon + φ) = A cos([ωo + 2kπ]n + φ) → ωo itself is periodic. As ωo increases from 0 to π, oscillation rate increases. As ωo increases from π to 2π, oscillation rate decreases. Huh? Frequency range π ≤ ωo ≤ 2 π ⇔ −π ≤ ωo ≤ 0 since ωo periodic. WLOG: Restrict discrete-time frequencies to range −π ≤ ωo ≤ π. Note: ωo = 0 → cos(ωon) = 1; ωo = ±π → cos(ωon) = (−1)n. SUM OF MULTIPLE SINUSOIDS If: x(t) has period Tx and freq. fx; y(t) has period Ty and freq. fy ; And: Tx/Ty is a rational number (otherwise x(t) + y(t) not periodic); Then: x(t) + y(t) has period Tx+y =Least Common Multiple of Tx and Ty ; Then: x(t) + y(t) has freq. fx+y =Greatest Common Divisor of fx and fy. Note: Always works for sinusoids; rarely fails for general periodic signals. How? (1) Reduce T Txy = MN to lowest terms. (2) Tx+y = N Tx = M Ty. Why? T Txy = MN → x(t + Tx+y ) + y(t + Tx+y ) = x(t + N Tx) + y(t + M Ty ). EX: x(t) = cos(0. 3 πt) + cos( 23 πt) → fo = 203 , 13 → fx+y = 601 → Tx+y = 60.
Value: y(t) = x(t) + c shifts plot of x(t) up by c if c > 0 (down if c < 0). Value: y(t) = cx(t) scales vertical axis of plot by factor c.
Time: y(t) = x(t − d) shifts plot of x(t) right by d if d > 0 (left if d < 0). Time: y(t) = x(dt) scales horizontal axis of plot by factor d. Time: y(t) = x(−t) reverses: flips plot about t = 0 axis. Note: For discrete time signals x[n], d must be an integer!
EX #1: y(t) = x(t − 2) delays x(t) by 2: y(2) = x(0), y(3) = x(1). EX #2: y(t) = x(2t) shrinks x(t) by 2: y(1) = x(2), y(2) = x(4). Means: If x(t) = cos(ωot), this doubles frequency & halves period. EX #3: y(t) = x(−t): If x(t) audio, then y(t) is x(t) backwards! Play Beatles records backwards to find hidden messages? Doppler. COMBINING SIGNAL OPERATIONS