4-2: Reconstruction via realizable D-to-C

  • 4–2
 

4-3: Sampling and reconstruction of a chirp

  • 4–3
 

4-4: Spectrum of discrete-time signal and reconstruction of sinusoids

  • 4–4
 

4-5: Strobe sampling of rotating disk

  • 4–5
 

4-6: C-to-D input derived from D-to-C output

  • 4–6
 

4-7: C-to-D input derived from D-to-C output

  • 4–7
 

4-8: C-to-D input derived from D-to-C output

  • 4–8
 

4-9: Sampling and Aliasing

  • 4–9
 

4-10: Sampling and Aliasing

  • 4–10
 

4-11: Sampling and Aliasing

  • 4–11
 

4-12: Sampling and Aliasing

  • 4–12
 

4-13: Sampling and Reconstruction of Cosine Signals

  • 4–13
 

4-14: Sampling and Reconstruction of Cosine Signals

  • 4–14
 

4-15: Sampling and Reconstruction of Cosine Signals

  • 4–15
 

4-16: D/C Reconstruction for a Discrete-Time Chirp Signal

  • 4–16
 

4-17: Spectrum for AM Signal; Minimum Sampling Rate

  • 4–17
 

4-18: D/C Reconstruction for a Discrete-Time Chirp Signal

  • 4–18
 

4-19: Complex Roots of Unity for Complex Exponential Signal

  • 4–19
 

4-20: C/D and D/C in Cascade

  • 4–20
 

4-21: Aliased Discrete-Time Sinusoid Plot in MATLAB; Sampling Theorem

  • 4–21
 

4-22: Spectrum of AM Signal (sin)(cos); Minimum Sampling Rate

  • 4–22
 

4-23: Sampled Sinusoid; Over-Sampled or Under-Sampled

  • 4–23
 

4-24: Strobe Demo

  • 4–24
 

4-25: Continuous-Time Sinusoid From Discrete-Time x[n]; D/C Reconstruction

  • 4–25
 

4-26: Aliased Discrete-Time Sinusoid Plot in MATLAB; Sampling Theorem

  • 4–26
 

4-27: C/D and D/C in Cascade; Input Spectrum Given

  • 4–27
 

4-28: Spectrum --> Sinusoids; Period & Minimum Sampling Rate

  • 4–28
 

4-29: D/C Reconstruction for a Discrete-Time Chirp Signal

  • 4–29
 

4-30: Spectrum --> Sinusoids; Sampling; Sketch Spectrum for x[n]

  • 4–30
 

4-31: C/D and D/C in Cascade; Reconstruction of x[n]

  • 4–31
 

4-32: Strobe Demo

  • 4–32
 

4-33: C/D and D/C in Cascade; Sketch Spectrum of x[n]

  • 4–33
 

4-34: Continuous-Time Sinusoid From Discrete-Time x[n]; D/C Reconstruction

  • 4–34
 

4-35: Strobe Demo

  • 4–35
 

4-36: D/C Reconstruction for a Given Reconstruction Pulse

  • 4–36
 

4-37: Sinusoids and Sampling

  • 4–37
 

4-38: Sampling Theorem

  • 4–38
 

4-39: Discrete-time sinusoid from samples

  • 4–39
 

4-40: Sampling a Sinusoid

  • 4–40
 

4-41: Sampling and Aliasing a Sinusoid

  • 4–41
 

4-42: Sampling Rate from Spectrum of AM Sinusoid

  • 4–42
 

4-43: Continuous-Time Sinusoid From Discrete-Time x[n]

  • 4–43
 

4-44: Strobe Demo

  • 4–44
 

4-45: Sampling a Digital Chirp Signal

  • 4–45
 

4-46: Non-Ideal Reconstruction of Sampled Signals

  • 4–46
 

4-47: TV and Rotating Wagon Wheel

  • 4–47
 

4-48: Sampling of Signals given the Spectrum

  • 4–48
 

4-49: Sampling and Reconstruction of a Chirp Signal

  • 4–49
 

4-50: Sampling of Signals given the Spectrum

  • 4–50
 

4-51: Sampling and Reconstruction of a Chirp Signal

  • 4–51
 

4-52: Sampling an AM signal

  • 4–52
 

4-53: Sampling and reconstruction of a chirp

  • 4–53
 

4-54: Sampling and aliasing of sinusoids

  • 4–54
 

4-55: Sampling and aliasing of sinusoids

  • 4–55
 

4-56: Sampling Cosine Signals

  • 4–56
 

4-57: Sampling Cosine Signals

  • 4–57
 

4-58: Sampling Cosine Signals

  • 4–58
 

4-59: Sampling a Bandlimited Periodic Signal

  • 4–59
 

4-60: Strobe Sampling of a Rotating Disk

  • 4–60
 

4-61: Sampling a Cosine Signal using MATLAB

  • 4–61
 

4-62: Sampling a Cosine Signal using MATLAB

  • 4–62
 

4-63: Non-Ideal Reconstruction of Sampled Signals

  • 4–63
 

4-64: Sampling and Reconstruction of a Chirp Signal

  • 4–64
 

4-65: Sampling of Cosine Signals

  • 4–65
 

4-66: Sampling and Reconstruction of a Chirp Signal

  • 4–66
 

4-67: Sampling of Cosine Signals

  • 4–67
 

4-68: Sampling and Reconstruction of a Chirp Signal

  • 4–68
 

4-69: Sampling of Cosine Signals

  • 4–69
 

4-70: Sampling a Bandlimited Periodic Signal

  • 4–70
 

4-71: Sampling a Bandlimited Periodic Signal

  • 4–71
 

4-72: Sampling a Bandlimited Periodic Signal

  • 4–72
 

4-73: Non-Ideal Reconstruction of Sampled Signals

  • 4–73
 

4-74: Strobe Sampling of a Rotating Disk

  • 4–74
 

4-75: Sampling and Reconstruction of a Chirp Signal

  • 4–75
 

4-76: Sampling a Bandlimited Periodic Signal

  • 4–76
 

4-77: Sampling a Periodic C-T Signal to Obtain a Periodic D-T Signal

  • 4–77
 

4-78: Sampling of Cosine Signals

  • 4–78
 

4-79: Sampling of Cosine Signals

  • 4–79
 

4-80: Sampling of Cosine Signals

  • 4–80
 

4-81: Sampling of AM signal from its spectrum

  • 4–81
 

4-82: Sampling & aliasing given continuous-time spectrum

  • 4–82
 

4-83: Reconstruction from discrete-time spectrum

  • 4–83
 

4-84: Reconstruction via realizable D-to-C

  • 4–84
 

4-85: Strobe sampling of rotating disk

  • 4–85
 

4-86: Instantaneous frequency of chirp after sampling & reconstruction

  • 4–86
 

4-87: Determine sampling rate from input and sampled sinusoids

  • 4–87
 

4-88: Sampling & reconstruction of periodic signal

  • 4–88
 

4-89: Period of discrete-time signal when sampling

  • 4–89
 

4-90: File sizes for music representations

  • 4–90
 

4-91: Sampling and reconstruction of sum of sinusoids

  • 4–91
 

4-92: Sampling and reconstruction of sum of sinusoids

  • 4–92
 

4-93: Sampling and reconstruction of sum of sinusoids

  • 4–93
 

4-94: Strobe Demo

  • 4–94
 

4-95: Continuous-Time Sinusoid From Discrete-Time x[n]; Sampling Theorem

  • 4–95
 

4-96: Sampled Sinusoid; Over-Sampled or Under-Sampled

  • 4–96
 

4-97: C/D and D/C in Cascade

  • 4–97
 

4-98: Continuous-Time Sinusoid From Discrete-Time x[n]; Sampling Theorem

  • 4–98
 

4-99: Complex Roots of Unity for Complex Exponential Signal

  • 4–99
 

4-100: Sampled Sinusoid; Over-Sampled or Under-Sampled

  • 4–100
 

4-101: Aliased Discrete-Time Sinusoid Plot in MATLAB; Sampling Theorem

  • 4–101
 

4-102: Strobe Demo

  • 4–102
 

4-103: Spectrum of Discrete-Time Sinusoid Defined by MATLAB Code

  • 4–103
 

4-104: D/C Reconstruction for a Given Reconstruction Pulse

  • 4–104
 

4-105: Spectrum --> Sinusoids; Sampling; Sketch Spectrum for x[n]

  • 4–105
 

4-106: Strobe Demo: Wagon Wheel

  • 4–106
 
 

4-108: Sampling of Signals Given the Spectrum

  • 4–108
 

4-109: Strobe Demo

  • 4–109
 

4-110: Non-Ideal Reconstruction of Sampled Signals

  • 4–110
 

4-111: Sampling of Signals Given the Spectrum

  • 4–111
 

4-112: Sampling & Reconstruction of Sinusoids

  • 4–112
 

4-113: Aliased Discrete-Time Sinusoid Plot in MATLAB; Sampling Theorem

  • 4–113
 

4-114: Strobe Demo

  • 4–114
 

4-115: D/C Reconstruction for a Discrete-Time Chirp Signal

  • 4–115
 

4-116: Sampled Sinusoid; Over-Sampled or Under-Sampled

  • 4–116
 

4-117: Strobe Demo

  • 4–117
 

4-118: Continuous-Time Sinusoid From Discrete-Time x[n]; Sampling Theorem

  • 4–118
 

4-119: Strobe Demo

  • 4–119
 

4-120: Continuous-Time Sinusoid From Discrete-Time x[n]; Sampling Theorem

  • 4–120
 

4-121: Discrete-Time Signal x[n] Derived from Sampling an Input Spectrum

  • 4–121
 

4-122: C/D and D/C in Cascade; Determine Inputs from Output

  • 4–122
 

4-123: Strobe Demo

  • 4–123
 

4-124: Spectrum --> Sinusoids; Sketch Spectrum for Sampled Signal

  • 4–124
 

4-125: C/D and D/C in Cascade; Choosing Sampling Frequency

  • 4–125
 

4-126: Continuous-Time Sinusoid From Discrete-Time x[n]; D/C Reconstruction

  • 4–126
 

4-127: Strobe Demo

  • 4–127
 

4-128: Aliased Discrete-Time Sinusoid Plot in MATLAB; Sampling Theorem

  • 4–128
 

4-129: Strobe Demo

  • 4–129
 

4-130: Strobe Demo

  • 4–130
 

4-131: Line Spectrum of a Periodic Signal; Minimum Sampling Rate

  • 4–131
 

4-132: Continuous-Time Sinusoid From Discrete-Time x[n]; Sampling Theorem

  • 4–132
 

4-133: Sampled Sinusoid; Over-Sampled or Under-Sampled

  • 4–133
 

4-134: C/D and D/C in Cascade

  • 4–134
 

4-135: Strobe Demo

  • 4–135
 

4-136: Continuous-Time Sinusoid From Discrete-Time x[n]; Sampling Theorem

  • 4–136
 

4-137: Complex Roots of Unity for Complex Exponential Signal

  • 4–137
 

4-138: Strobe Demo

  • 4–138
 

4-139: Aliased Discrete-Time Sinusoid Plot in MATLAB

  • 4–139
 

4-140: C/D and D/C in Cascade; Input Spectrum Given

  • 4–140
 

4-141: Strobe Demo

  • 4–141
 

4-142: Sinusoid and Chirp through D/A converter

  • 4–142
 

4-143: D/C Reconstruction for a Discrete-Time Chirp Signal

  • 4–143
 

4-144: Complex Roots of Unity for Complex Exponential Signal

  • 4–144
 

4-145: C/D and D/C in Cascade

  • 4–145
 

4-146: Aliased Discrete-Time Sinusoid Plot in MATLAB; Sampling Theorem

  • 4–146
 

4-147: Strobe Demo

  • 4–147
 

4-148: Strobe Demo: Wagon Wheel

  • 4–148
 

4-149: Discrete-time sinusoid from samples

  • 4–149
 

4-150: Sampling and Reconstruction from Input Spectrum

  • 4–150
 

4-151: D/C Reconstruction for Different Reconstruction Pulses

  • 4–151
 

4-152: Spectrum --> Sinusoids; Minimum Sampling Rate

  • 4–152
 

4-153: Spectrum of Discrete-Time Sinusoid Defined by MATLAB Code

  • 4–153
 

4-154: C/D and D/C in Cascade; Input Signal is a Chirp

  • 4–154
 

4-155: Strobe Demo; Wagon Wheel

  • 4–155
 
 
 

4-158: Plot Spectrum of Summed Sinusoids Using MATLAB

  • 4–158
 

4-159: Non-Ideal Reconstruction of Sampled Signals

  • 4–159
 

4-160: Sampling of Signals Given the Spectrum

  • 4–160
 

4-161: Sampling of Signals Given the Spectrum

  • 4–161