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6.003: Signals and Systems Modulation December 6, 2011 1 Communications Systems Signals are not always well matched to the media through which we wish to transmit them. signal applications audio telephone, radio, phonograph, CD, cell phone, MP3 video television, cinema, HDTV, DVD internet coax, twisted pair, cable TV, DSL, optical fiber, E/M Modulation can improve match based on frequency. 2 Amplitude Modulation Amplitude modulation can be used to match audio frequencies to radio frequencies. It allows parallel transmission of multiple channels. x 1 (t) x 2 (t) x 3 (t) z 1 (t) z 2 (t) z(t) y(t) z 3 (t) cos w 1 t cos w 2 t cos w c t cos w 3 t LPF 3 Superheterodyne Receiver Edwin Howard Armstrong invented the superheterodyne receiver, which made broadcast AM practical. Edwin Howard Armstrong also invented and patented the “regenerative” (positive feedback) circuit for amplifying radio signals (while he was a junior at Columbia University). He also in vented wide-band FM. 4 Amplitude, Phase, and Frequency Modulation There are many ways to embed a “message” in a carrier. Amplitude Modulation (AM) + carrier: y1(t) = x(t) + C cos(ωct) Phase Modulation (PM): y2(t) = cos(ωct + kx(t)) tFrequency Modulation (FM): y3(t) = cos ωct + k −∞ x(τ )dτ PM: signal modulates instantaneous phase of the carrier. y2(t) = cos(ωct + kx(t)) FM: signal modulates instantaneous frequency of carrier. t y3(t) = cos ωct + k x(τ)dτ ' −∞v " φ(t) d ωi(t) = ωc + φ(t) = ωc + kx(t)dt 5 Frequency Modulation sin(ωmt)) Advantages of FM: • constant power Compare AM to FM for x(t) = cos(ωmt). AM: y1(t) = x(t) + C cos(ωct) = (cos(ωmt) + 1.1) cos(ωct) t FM: y3(t) = cos ωct + k −∞ x(τ )dτ = cos(ωct + t k ωm t • no need to transmit carrier (unless DC important) • bandwidth? 6 ∫ Frequency Modulation Early investigators thought that narrowband FM could have arbitrar ily narrow bandwidth, allowing more channels than AM. t y3(t) = cos ωct + k x(τ)dτ −∞' v " φ(t) d ωi(t) = ωc + φ(t) = ωc + kx(t)dt Small k → small bandwidth. Right? 7 ( ∫ ) Frequency Modulation Early investigators thought that narrowband FM could have arbitrar ily narrow bandwidth, allowing more channels than AM. Wrong! 0 t y3(t) = cos ωct + k x(τ)dτ −∞0 0 t t = cos(ωct) × cos k x(τ)dτ − sin(ωct) × sin k x(τ )dτ −∞ −∞ If k → 0 then0 t cos k x(τ)dτ → 1 −∞0 t t sin k x(τ )dτ → k x(τ)dτ −∞ −∞0 t y3(t) ≈ cos(ωct) − sin(ωct) × k x(τ)dτ −∞ Bandwidth of narrowband FM is the same as that of AM! (integration does not change the highest frequency in the signal) 8 ∫ ∫ ∫ ∫ ∫ ∫ ∫ 1 0 −1 1 sin(ωmt) t 1 0 −1 cos(1 sin(ωmt)) t Phase/Frequency Modulation Find the Fourier transform of a PM/FM signal. y(t) = cos(ωct + mx(t)) = cos(ωct + m sin(ωmt)) = cos(ωct) cos(m sin(ωmt))) − sin(ωct) sin(m sin(ωmt))) x(t) is periodic in T = 2π , therefore cos(m sin(ωmt)) is periodic in T .ωm 9 2 0 −2 2 sin(ωmt) t 1 0 −1 cos(2 sin(ωmt)) t Phase/Frequency Modulation Find the Fourier transform of a PM/FM signal. y(t) = cos(ωct + mx(t)) = cos(ωct + m sin(ωmt)) = cos(ωct) cos(m sin(ωmt))) − sin(ωct) sin(m sin(ωmt))) x(t) is periodic in T = 2π , therefore cos(m sin(ωmt)) is periodic in T .ωm 10 3 0 −3 3 sin(ωmt) t 1 0 −1 cos(3 sin(ωmt)) t Phase/Frequency Modulation Find the Fourier transform of a PM/FM signal. y(t) = cos(ωct + mx(t)) = cos(ωct + m sin(ωmt)) = cos(ωct) cos(m sin(ωmt))) − sin(ωct) sin(m sin(ωmt))) x(t) is periodic in T = 2π , therefore cos(m sin(ωmt)) is periodic in T .ωm 11 4 0 −4 4 sin(ωmt) t 1 0 −1 cos(4 sin(ωmt)) t Phase/Frequency Modulation Find the Fourier transform of a PM/FM signal. y(t) = cos(ωct + mx(t)) = cos(ωct + m sin(ωmt)) = cos(ωct) cos(m sin(ωmt))) − sin(ωct) sin(m sin(ωmt))) x(t) is periodic in T = 2π , therefore cos(m sin(ωmt)) is periodic in T .ωm 12 5 0 −5 5 sin(ωmt) t 1 0 −1 cos(5 sin(ωmt)) t Phase/Frequency Modulation Find the Fourier transform of a PM/FM signal. y(t) = cos(ωct + mx(t)) = cos(ωct + m sin(ωmt)) = cos(ωct) cos(m sin(ωmt))) − sin(ωct) sin(m sin(ωmt))) x(t) is periodic in T = 2π , therefore cos(m sin(ωmt)) is periodic in T .ωm 13 6 0 −6 6 sin(ωmt) t 1 0 −1 cos(6 sin(ωmt)) t Phase/Frequency Modulation Find the Fourier transform of a PM/FM signal. y(t) = cos(ωct + mx(t)) = cos(ωct + m sin(ωmt)) = cos(ωct) cos(m sin(ωmt))) − sin(ωct) sin(m sin(ωmt))) x(t) is periodic in T = 2π , therefore cos(m sin(ωmt)) is periodic in T .ωm 14 7 0 −7 7 sin(ωmt) t 1 0 −1 cos(7 sin(ωmt)) t Phase/Frequency Modulation Find the Fourier transform of a PM/FM signal. y(t) = cos(ωct + mx(t)) = cos(ωct + m sin(ωmt)) = cos(ωct) cos(m sin(ωmt))) − sin(ωct) sin(m sin(ωmt))) x(t) is periodic in T = 2π , therefore cos(m sin(ωmt)) is periodic in T .ωm 15 8 0 −8 8 sin(ωmt) t 1 0 −1 cos(8 sin(ωmt)) t Phase/Frequency Modulation Find the Fourier transform of a PM/FM signal. y(t) = cos(ωct + mx(t)) = cos(ωct + m sin(ωmt)) = cos(ωct) cos(m sin(ωmt))) − sin(ωct) sin(m sin(ωmt))) x(t) is periodic in T = 2π , therefore cos(m sin(ωmt)) is periodic in T .ωm 16 9 0 −9 9 sin(ωmt) t 1 0 −1 cos(9 sin(ωmt)) t Phase/Frequency Modulation Find the Fourier transform of a PM/FM signal. y(t) = cos(ωct + mx(t)) = cos(ωct + m sin(ωmt)) = cos(ωct) cos(m sin(ωmt))) − sin(ωct) sin(m sin(ωmt))) x(t) is periodic in T = 2π , therefore cos(m sin(ωmt)) is periodic in T .ωm 17 10 0 −10 10 sin(ωmt) t 1 0 −1 cos(10 sin(ωmt)) t Phase/Frequency Modulation Find the Fourier transform of a PM/FM signal. y(t) = cos(ωct + mx(t)) = cos(ωct + m sin(ωmt)) = cos(ωct) cos(m sin(ωmt))) − sin(ωct) sin(m sin(ωmt))) x(t) is periodic in T = 2π , therefore cos(m sin(ωmt)) is periodic in T .ωm 18 20 0 −20 20 sin(ωmt) t 1 0 −1 cos(20 sin(ωmt)) t Phase/Frequency Modulation Find the Fourier transform of a PM/FM signal. y(t) = cos(ωct + mx(t)) = cos(ωct + m sin(ωmt)) = cos(ωct) cos(m sin(ωmt))) − sin(ωct) sin(m sin(ωmt))) x(t) is periodic in T = 2π , therefore cos(m sin(ωmt)) is periodic in T .ωm 19 50 0 −50 50 sin(ωmt) t 1 0 −1 cos(50 sin(ωmt)) t Phase/Frequency Modulation Find the Fourier transform of a PM/FM signal. y(t) = cos(ωct + mx(t)) = cos(ωct + m sin(ωmt)) = cos(ωct) cos(m sin(ωmt))) − sin(ωct) sin(m sin(ωmt))) x(t) is periodic in T = 2π , therefore cos(m sin(ωmt)) is periodic in T .ωm 20 m 0 −m m sin(ωmt) t 1 0 −1 cos(m sin(ωmt)) t increasing m Phase/Frequency Modulation Find the Fourier transform of a PM/FM signal. y(t) = cos(ωct + mx(t)) = cos(ωct + m sin(ωmt)) = cos(ωct) cos(m sin(ωmt))) − sin(ωct) sin(m sin(ωmt))) x(t) is periodic in T = 2π , therefore cos(m sin(ωmt)) is periodic in T .ωm 21 Phase/Frequency Modulation Find the Fourier transform of a PM/FM signal. y(t) = cos(ωct + mx(t)) = cos(ωct + m sin(ωmt)) = cos(ωct) cos(m sin(ωmt))) − sin(ωct) sin(m sin(ωmt))) x(t) is periodic in T = 2π ωm , therefore cos(m sin(ωmt)) is periodic in T . 1 0 −1 cos(m sin(ωmt)) t |ak| k 0 10 20 30 40 50 60 m = 0 22 Phase/FrequencyModulation Find the Fourier transform of a PM/FM signal. y(t) = cos(ωct + mx(t)) = cos(ωct + m sin(ωmt)) = cos(ωct) cos(m sin(ωmt))) − sin(ωct) sin(m sin(ωmt))) x(t) is periodic in T = 2π ωm , therefore cos(m sin(ωmt)) is periodic in T . 1 0 −1 cos(m sin(ωmt)) t |ak| k 0 10 20 30 40 50 60 m = 1 23 Phase/Frequency Modulation Find the Fourier transform of a PM/FM signal. y(t) = cos(ωct + mx(t)) = cos(ωct + m sin(ωmt)) = cos(ωct) cos(m sin(ωmt))) − sin(ωct) sin(m sin(ωmt))) x(t) is periodic in T = 2π ωm , therefore cos(m sin(ωmt)) is periodic in T . 1 0 −1 cos(m sin(ωmt)) t |ak| k 0 10 20 30 40 50 60 m = 2 24 Phase/Frequency Modulation Find the Fourier transform of a PM/FM signal. y(t) = cos(ωct + mx(t)) = cos(ωct + m sin(ωmt)) = cos(ωct) cos(m sin(ωmt))) − sin(ωct) sin(m sin(ωmt))) x(t) is periodic in T = 2π ωm , therefore cos(m sin(ωmt)) is periodic in T . 1 0 −1 cos(m sin(ωmt)) t |ak| k 0 10 20 30 40 50 60 m = 5 25 Phase/Frequency Modulation Find the Fourier transform of a PM/FM signal. y(t) = cos(ωct + mx(t)) = cos(ωct + m sin(ωmt)) = cos(ωct) cos(m sin(ωmt))) − sin(ωct) sin(m sin(ωmt))) x(t) is periodic in T = 2π ωm , therefore cos(m sin(ωmt)) is periodic in T . 1 0 −1 cos(m sin(ωmt)) t |ak| k 0 10 20 30 40 50 60 m = 10 26 Phase/Frequency Modulation Find the Fourier transform of a PM/FM signal. y(t) = cos(ωct + mx(t)) = cos(ωct + m sin(ωmt)) = cos(ωct) cos(m sin(ωmt))) − sin(ωct) sin(m sin(ωmt))) x(t) is periodic in T = 2π ωm , therefore cos(m sin(ωmt)) is periodic in T . 1 0 −1 cos(m sin(ωmt)) t |ak| k 0 10 20 30 40 50 60 m = 20 27 Phase/Frequency Modulation Find the Fourier transform of a PM/FM signal. y(t) = cos(ωct + mx(t)) = cos(ωct + m sin(ωmt)) = cos(ωct) cos(m sin(ωmt))) − sin(ωct) sin(m sin(ωmt))) x(t) is periodic in T = 2π ωm , therefore cos(m sin(ωmt)) is periodic in T . 1 0 −1 cos(m sin(ωmt)) t |ak| k 0 10 20 30 40 50 60 m = 30 28 Phase/Frequency Modulation Find the Fourier transform of a PM/FM signal. y(t) = cos(ωct + mx(t)) = cos(ωct + m sin(ωmt)) = cos(ωct) cos(m sin(ωmt))) − sin(ωct) sin(m sin(ωmt))) x(t) is periodic in T = 2π ωm , therefore cos(m sin(ωmt)) is periodic in T . 1 0 −1 cos(m sin(ωmt)) t |ak| k 0 10 20 30 40 50 60 m = 40 29 Phase/Frequency Modulation Find the Fourier transform of a PM/FM signal. y(t) = cos(ωct + mx(t)) = cos(ωct + m sin(ωmt)) = cos(ωct) cos(m sin(ωmt))) − sin(ωct) sin(m sin(ωmt))) x(t) is periodic in T = 2π ωm , therefore cos(m sin(ωmt)) is periodic in T . 1 0 −1 cos(m sin(ωmt)) t |ak| k 0 10 20 30 40 50 60 m = 50 30 |Ya(jω)| ω ωcωc 100ωm m = 50 Phase/Frequency Modulation Fourier transform of first part. x(t) = sin(ωmt) y(t) = cos(ωct + mx(t)) = cos(ωct + m sin(ωmt)) = cos(ωct) cos(m sin(ωmt))) − sin(ωct) sin(m sin(ωmt)))' v " ya(t) 31 m 0 −m m sin(ωmt) t 1 0 −1 sin(m sin(ωmt)) t increasing m increasing m Phase/Frequency Modulation Find the Fourier transform of a PM/FM signal. y(t) = cos(ωct + mx(t)) = cos(ωct + m sin(ωmt)) = cos(ωct) cos(m sin(ωmt))) − sin(ωct) sin(m sin(ωmt))) x(t) is periodic in T = 2π , therefore sin(m sin(ωmt)) is periodic in T .ωm 32 Phase/Frequency Modulation Find the Fourier transform of a PM/FM signal. y(t) = cos(ωct + mx(t)) = cos(ωct + m sin(ωmt)) = cos(ωct) cos(m sin(ωmt))) − sin(ωct) sin(m sin(ωmt))) x(t) is periodic in T = 2π ωm , therefore sin(m sin(ωmt)) is periodic in T . 1 0 −1 sin(m sin(ωmt)) t |bk| k 0 10 20 30 40 50 60 m = 0 33 Phase/Frequency Modulation Find the Fourier transform of a PM/FM signal. y(t) = cos(ωct + mx(t)) = cos(ωct + m sin(ωmt)) = cos(ωct) cos(m sin(ωmt))) − sin(ωct) sin(m sin(ωmt))) x(t) is periodic in T = 2π ωm , therefore sin(m sin(ωmt)) is periodic in T . 1 0 −1 sin(m sin(ωmt)) t |bk| k 0 10 20 30 40 50 60 m = 1 34 Phase/Frequency Modulation Find the Fourier transform of a PM/FM signal. y(t) = cos(ωct + mx(t)) = cos(ωct + m sin(ωmt)) = cos(ωct) cos(m sin(ωmt))) − sin(ωct) sin(m sin(ωmt))) x(t) is periodic in T = 2π ωm , therefore sin(m sin(ωmt)) is periodic in T . 1 0 −1 sin(m sin(ωmt)) t |bk| k 0 10 20 30 40 50 60 m = 2 35 Phase/Frequency Modulation Find the Fourier transform of a PM/FM signal. y(t) = cos(ωct + mx(t)) = cos(ωct + m sin(ωmt)) = cos(ωct) cos(m sin(ωmt))) − sin(ωct) sin(m sin(ωmt))) x(t) is periodic in T = 2π ωm , therefore sin(m sin(ωmt)) is periodic in T . 1 0 −1 sin(m sin(ωmt)) t |bk| k 0 10 20 30 40 50 60 m = 5 36 Phase/Frequency Modulation Find the Fourier transform of a PM/FM signal. y(t) = cos(ωct + mx(t)) = cos(ωct + m sin(ωmt)) = cos(ωct) cos(m sin(ωmt))) − sin(ωct) sin(m sin(ωmt))) x(t) is periodic in T = 2π ωm , therefore sin(m sin(ωmt)) is periodic in T . 1 0 −1 sin(m sin(ωmt)) t |bk| k 0 10 20 30 40 50 60 m = 10 37 Phase/Frequency Modulation Find the Fourier transform of a PM/FM signal. y(t) = cos(ωct + mx(t)) = cos(ωct + m sin(ωmt)) = cos(ωct) cos(m sin(ωmt))) − sin(ωct) sin(m sin(ωmt))) x(t) is periodic in T = 2π ωm , therefore sin(m sin(ωmt)) is periodic in T . 1 0 −1 sin(m sin(ωmt)) t |bk| k 0 10 20 30 40 50 60 m = 20 38 Phase/Frequency Modulation Find the Fourier transform of a PM/FM signal. y(t) = cos(ωct + mx(t)) = cos(ωct + m sin(ωmt)) = cos(ωct) cos(m sin(ωmt))) − sin(ωct) sin(m sin(ωmt))) x(t) is periodic in T = 2π ωm , therefore sin(m sin(ωmt)) is periodic in T . 1 0 −1 sin(m sin(ωmt)) t |bk| k 0 10 20 30 40 50 60 m = 30 39 Phase/Frequency Modulation Find the Fourier transform of a PM/FM signal. y(t) = cos(ωct + mx(t)) = cos(ωct + m sin(ωmt)) = cos(ωct) cos(m sin(ωmt))) − sin(ωct) sin(m sin(ωmt))) x(t) is periodic in T = 2π ωm , therefore sin(m sin(ωmt)) is periodic in T . 1 0 −1 sin(m sin(ωmt)) t |bk| k 0 10 20 30 40 50 60 m = 40 40 Phase/Frequency Modulation Find the Fourier transform of a PM/FM signal. y(t) = cos(ωct + mx(t)) = cos(ωct + m sin(ωmt)) = cos(ωct) cos(m sin(ωmt))) − sin(ωct) sin(m sin(ωmt))) x(t) is periodic in T = 2π ωm , therefore sin(m sin(ωmt)) is periodic in T . 1 0 −1 sin(m sin(ωmt)) t |bk| k 0 10 20 30 40 50 60 m = 50 41 ' v " ya(t) |Yb(jω)| ω ωcωc 100ωm m = 50 Phase/Frequency Modulation Fourier transform of second part. x(t) = sin(ωmt) y(t) = cos(ωct + mx(t)) = cos(ωct + m sin(ωmt)) = cos(ωct) cos(m sin(ωmt))) − sin(ωct) sin(m sin(ωmt)))' v " yb(t) 42 |Y (jω)| ω ωcωc 100ωm m = 50 Phase/Frequency Modulation Fourier transform. x(t) = sin(ωmt) y(t) = cos(ωct + mx(t)) = cos(ωct + m sin(ωmt)) = cos(ωct) cos(m sin(ωmt))) − sin(ωct) sin(m sin(ωmt)))' v " ' v " ya(t) yb(t) 43 Frequency Modulation Wideband FM is useful because it is robust to noise. AM: y1(t) = (cos(ωmt) + 1.1) cos(ωct) t FM: y3(t) = cos(ωct + m sin(ωmt)) t FM generates a redundant signal that is resilient to additive noise. 44 Summary Modulation is useful for matching signals to media. Examples: commercial radio (AM and FM) Close with unconventional application of modulation – in microscopy. 45 6.003 Microscopy Dennis M. Freeman Stanley S. Hong Jekwan Ryu Michael S. Mermelstein Berthold K. P. Horn 46 Courtesy of Stanley Hong, Jekwan Ryu,Michael Mermelstein, and Berthold K. P. Horn. Used with permission. 6.003 Model of a Microscope microscope Microscope = low-pass filter 47 Courtesy of Stanley Hong, Jekwan Ryu, Michael Mermelstein, and Berthold K. P. Horn. Used with permission. Phase-Modulated Microscopy microscope 48 Courtesy of Stanley Hong, Jekwan Ryu, Michael Mermelstein, and Berthold K. P. Horn. Used with permission. 49 Courtesy of Stanley Hong, Jekwan Ryu, Michael Mermelstein, and Berthold K. P. Horn. Used with permission. 50 Courtesy of Stanley Hong, Jekwan Ryu, Michael Mermelstein, and Berthold K. P. Horn. Used with permission. 51 Courtesy of Stanley Hong, Jekwan Ryu, Michael Mermelstein, and Berthold K. P. Horn. Used with permission. 52 Courtesy of Stanley Hong, Jekwan Ryu, Michael Mermelstein, and Berthold K. P. Horn. Used with permission. 53 Courtesy of Stanley Hong, Jekwan Ryu, Michael Mermelstein, and Berthold K. P. Horn. Used with permission. many frequencies + many orientations = many images low resolution high resolution wx wy wx wy wx wy 54 Courtesy of Stanley Hong, Jekwan Ryu, Michael Mermelstein, and Berthold K. P. Horn. Used with permission. 55 Courtesy of Stanley Hong, Jekwan Ryu, Michael Mermelstein, and Berthold K. P. Horn. Used with permission. 56 Courtesy of Stanley Hong, Jekwan Ryu, Michael Mermelstein, and Berthold K. P. Horn. Used with permission. 57 Courtesy of Stanley Hong, Jekwan Ryu, Michael Mermelstein, and Berthold K. P. Horn. Used with permission. 58 Courtesy of Stanley Hong, Jekwan Ryu, Michael Mermelstein, and Berthold K. P. Horn. Used with permission. 59 Courtesy of Stanley Hong, Jekwan Ryu, Michael Mermelstein, and Berthold K. P. Horn. Used with permission. 60 Courtesy of Stanley Hong, Jekwan Ryu, Michael Mermelstein, and Berthold K. P. Horn. Used with permission. MIT OpenCourseWare http://ocw.mit.edu 6.003 Signals and Systems Fall 2011 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms.
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