1 00:00:00,024 --> 00:00:03,330 Welcome back to Linear Circuits. 2 00:00:03,330 --> 00:00:08,320 This lesson is going to be a lab demo on a guitar string. 3 00:00:08,320 --> 00:00:18,000 So, we're following up on the topic of frequency spectrum with this experiment. 4 00:00:18,000 --> 00:00:21,350 So, in the previous class, we introduced the frequency spectrum 5 00:00:21,350 --> 00:00:23,920 as a way of plotting the frequency content of signals. 6 00:00:25,930 --> 00:00:30,400 This lesson objective is to demonstrate the use of a spectrum analyzer. 7 00:00:30,400 --> 00:00:32,730 Well, this is a common measurement instrument 8 00:00:32,730 --> 00:00:34,970 for computing and displaying the frequency spectrum. 9 00:00:34,970 --> 00:00:36,970 And the guitar string is really a nice 10 00:00:36,970 --> 00:00:39,850 experiment, because it produces a lot of harmonics. 11 00:00:39,850 --> 00:00:42,020 And you're able to see the different harmonic 12 00:00:42,020 --> 00:00:44,750 and the frequency content of, of a particular signal. 13 00:00:46,610 --> 00:00:49,160 So, our lab demo is guitar string frequency spectrum. 14 00:00:51,240 --> 00:00:54,000 This platform is a guitar string. 15 00:00:55,500 --> 00:00:59,900 We have a pick up standard commercial guitar 16 00:00:59,900 --> 00:01:02,710 pick up, which is very similar to the 17 00:01:02,710 --> 00:01:04,735 homemade guitar pick up that we saw before 18 00:01:04,735 --> 00:01:08,759 when we looked at inductance and applications of inductance. 19 00:01:08,759 --> 00:01:13,480 The homemade one was just a coil of wire around a permanent magnet. 20 00:01:13,480 --> 00:01:15,790 So this one uses the same principle, 21 00:01:15,790 --> 00:01:18,250 but it's has a better resolution to it. 22 00:01:18,250 --> 00:01:22,295 And the guitar, our string is a steel guitar string. 23 00:01:22,295 --> 00:01:27,460 So, as you pluck the guitar string, it vibrates inside the magnetic field 24 00:01:27,460 --> 00:01:32,730 induced by this in, this guitar pickup, and it causes a current. 25 00:01:32,730 --> 00:01:35,930 So the current flows in through these lines right here. 26 00:01:35,930 --> 00:01:39,820 And then we're using this, this 27 00:01:42,039 --> 00:01:44,270 dead acquisition board to just record 28 00:01:44,270 --> 00:01:47,560 those signals, and we'll display the signals. 29 00:01:47,560 --> 00:01:50,875 So again, as I pluck this string 30 00:01:50,875 --> 00:01:50,900 [SOUND], 31 00:01:50,900 --> 00:01:59,040 I'm inducing electrical current. Now, I want to look at this string, this 32 00:01:59,040 --> 00:02:06,250 electrical current on a on a oscilloscope. So if I look back at my oscilloscope here. 33 00:02:06,250 --> 00:02:09,320 I've got this set to record from this channel. 34 00:02:09,320 --> 00:02:14,752 Now, let me go ahead and hit the guitar string and we'll see what it looks like. 35 00:02:14,752 --> 00:02:14,752 [SOUND] 36 00:02:14,752 --> 00:02:20,540 And you can see a signal 37 00:02:20,540 --> 00:02:25,106 that looks fairly 38 00:02:25,106 --> 00:02:31,850 periodic, and it decays over time. Let's go ahead and zoom in on this. 39 00:02:35,880 --> 00:02:38,880 We definitely see something that looks periodic, and that's what gives you the 40 00:02:38,880 --> 00:02:43,180 tone that you hear from the guitar string, but it's not a pure tone. 41 00:02:43,180 --> 00:02:48,400 And this, this particular screen shot has a lot of jaggedness 42 00:02:48,400 --> 00:02:52,250 in there, and that's because the resolution under which I recorded it. 43 00:02:52,250 --> 00:02:52,250 [INAUDIBLE] 44 00:02:52,250 --> 00:02:53,600 I changed the resolution, 45 00:02:56,360 --> 00:02:57,575 and we'll record this again. 46 00:02:57,575 --> 00:03:01,960 And we'll see it in a little bit better resolution 47 00:03:06,814 --> 00:03:10,075 There we go. Alright. 48 00:03:10,075 --> 00:03:12,210 So, rerunning this with a better resolution. 49 00:03:12,210 --> 00:03:15,390 Let me go ahead and zoom in on it a little bit more. 50 00:03:15,390 --> 00:03:16,530 And we can see, this is what a 51 00:03:16,530 --> 00:03:20,535 guitar string vibration looks like when I pluck it. 52 00:03:20,535 --> 00:03:26,920 If I look at this, I see definitely a a fundamental frequency. 53 00:03:26,920 --> 00:03:31,844 From here to here is the fundamental period, that's the basic tone that 54 00:03:31,844 --> 00:03:34,325 you've got. That's the basic note in other words. 55 00:03:34,325 --> 00:03:37,600 But I also see some things happening in the middle. 56 00:03:37,600 --> 00:03:40,800 In fact, I see a dip right here, about half way. 57 00:03:40,800 --> 00:03:44,850 So a dip, I see a dip here, a dip about half way and a dip here. 58 00:03:44,850 --> 00:03:48,400 And that dip halfway corresponds to a second harmonic. 59 00:03:48,400 --> 00:03:50,390 So, it's another frequency in there. 60 00:03:50,390 --> 00:03:54,710 And then if I look at this, I see a peak right here. 61 00:03:54,710 --> 00:03:57,028 That's about a third of the way, that's really 62 00:03:57,028 --> 00:03:58,440 a third harmonic. 63 00:03:58,440 --> 00:04:00,790 And then we actually see a fourth harmonic here as well. 64 00:04:00,790 --> 00:04:03,190 So I see multiple harmonics in this signal. 65 00:04:04,870 --> 00:04:08,110 Now, to analyze this a little better, it's easier to look at a 66 00:04:08,110 --> 00:04:08,110 [UNKNOWN] 67 00:04:08,110 --> 00:04:09,790 dynamic spectrum analyzer. 68 00:04:13,110 --> 00:04:17,370 Going back to the platform here. 69 00:04:17,370 --> 00:04:20,800 A dynamic system, a dynamic spectrum analyzer 70 00:04:20,800 --> 00:04:24,150 is accomplished by taking your recorded signal, 71 00:04:25,730 --> 00:04:29,450 feeding it into a data, data acquisition board and then you record that signal. 72 00:04:32,400 --> 00:04:36,775 Now I'm going to put the, that instrument up here. 73 00:04:36,775 --> 00:04:46,775 And let's go ahead and run this. 74 00:04:53,970 --> 00:04:59,510 The dynamic spectrum analyzer takes the recorded signal and performs a 75 00:04:59,510 --> 00:05:03,850 fast voyage transfer on it in order to get the frequency spectrum. 76 00:05:03,850 --> 00:05:10,010 And what you see plotted here is the magnitude in decibels versus frequency. 77 00:05:10,010 --> 00:05:12,370 And the frequency is on a linear scale. 78 00:05:12,370 --> 00:05:15,855 But once we put something into decibels, it is actually a log scale. 79 00:05:15,855 --> 00:05:19,680 Because to compute the decibels, 80 00:05:19,680 --> 00:05:25,450 magnitude in decibels, we take 20 times the log of the magnitude. 81 00:05:26,970 --> 00:05:29,300 Now, what we see here is that there's a, a little bit 82 00:05:29,300 --> 00:05:32,920 of a peak right there and I have not yet played a note. 83 00:05:32,920 --> 00:05:37,205 So, it's curious to see where that peak occurs. 84 00:05:37,205 --> 00:05:39,660 May I turn my cursor on and go ahead 85 00:05:39,660 --> 00:05:41,750 and slide it across to see where the peak occurs. 86 00:05:44,810 --> 00:05:46,660 It occurs right there. 87 00:05:46,660 --> 00:05:50,163 And if I look at that frequency, that is at 60 hertz. 88 00:05:50,163 --> 00:05:53,430 Now, it's very, very common to get noise at 60 hertz. 89 00:05:53,430 --> 00:05:56,590 This is electromagnetic noise. 90 00:05:56,590 --> 00:05:59,862 And it's induced by power lines in the room. 91 00:05:59,862 --> 00:06:04,570 it could be induced by vibrations from equipment, 92 00:06:04,570 --> 00:06:07,280 which is powered by 60 hertz power lines. 93 00:06:07,280 --> 00:06:10,020 So, in this country the line current 94 00:06:10,020 --> 00:06:11,090 is at 60 hertz. 95 00:06:11,090 --> 00:06:12,251 So, we see 60 hertz signals in noise and signals. 96 00:06:12,251 --> 00:06:13,189 In other countries, you might have 50 hertz and 97 00:06:13,189 --> 00:06:16,610 then therefore your noise would be at 50 hertz. 98 00:06:16,610 --> 00:06:18,290 But that peak there has nothing to do 99 00:06:18,290 --> 00:06:25,560 with our experiment, so we're going to ignore that. 100 00:06:25,560 --> 00:06:27,790 That 60 hertz peak in our experiment. 101 00:06:27,790 --> 00:06:31,990 We're just going, looking at the peaks due to plucking this string. 102 00:06:31,990 --> 00:06:34,597 So, if I pluck this string again, 103 00:06:34,597 --> 00:06:34,600 [SOUND] 104 00:06:34,600 --> 00:06:39,578 what I see are all these peaks. This is the 105 00:06:39,578 --> 00:06:45,810 fundamental frequency that we saw in our time trace. 106 00:06:45,810 --> 00:06:48,440 This is the second harmonic, the third harmonic. 107 00:06:48,440 --> 00:06:50,990 And in this case, the second harmonic is almost 108 00:06:50,990 --> 00:06:53,900 as strong as the first harmonic, a little bit lower. 109 00:06:53,900 --> 00:06:56,450 And let's go ahead and measure what that frequency is. 110 00:06:56,450 --> 00:06:57,870 I turn my cursor on, 111 00:07:01,380 --> 00:07:05,042 slide this across. It's, 112 00:07:05,042 --> 00:07:10,166 that's as 113 00:07:10,166 --> 00:07:17,030 close as I can, it's around 440 and that's an A note. 114 00:07:18,080 --> 00:07:21,240 Now, what we're seeing is that we've got our A note. 115 00:07:21,240 --> 00:07:23,280 And then we've got our higher harmonics, and that's 116 00:07:23,280 --> 00:07:26,090 what gives the richness of sound in a, in music. 117 00:07:26,090 --> 00:07:26,470 In most 118 00:07:26,470 --> 00:07:28,720 musical instruments, they rely on the harmonics 119 00:07:28,720 --> 00:07:30,090 to give it the richness of the sound. 120 00:07:31,370 --> 00:07:37,470 So in this case, we've looked at the, we've looked 121 00:07:37,470 --> 00:07:44,320 at the application of the frequency spectra in order to analyze the signal. 122 00:07:44,320 --> 00:07:48,360 We will be using this experiment later when we go on to filtering. 123 00:07:48,360 --> 00:07:51,680 You might say, what if we don't want to hear that second harmonic? 124 00:07:51,680 --> 00:07:55,780 What if we wanted to get rid of the, the 60 hertz signal? 125 00:07:55,780 --> 00:07:58,830 And so, we want to use this experiment later for filtering. 126 00:07:58,830 --> 00:08:02,260 The basic concepts that we've covered though, were 127 00:08:02,260 --> 00:08:04,750 to look at the dynamic spectrum analyzer and 128 00:08:04,750 --> 00:08:08,921 to look at the frequency res, frequency spectrum that we get out of a real signal. 129 00:08:08,921 --> 00:08:09,603 Thank you. 130 00:08:09,603 --> 00:08:13,011 So in summary, the Dynamic Sys, Spectrum Analyzer 131 00:08:13,011 --> 00:08:16,845 is an instrument to measure and compute the frequency 132 00:08:16,845 --> 00:08:23,640 spectrum of measured signals. The guitar string is a great platform. 133 00:08:23,640 --> 00:08:29,950 Because it produces all kinds of frequency content and harmonics in there. 134 00:08:29,950 --> 00:08:31,960 And we can look at the fundamental frequency and 135 00:08:31,960 --> 00:08:34,190 we can look at those harmonics, and measure them. 136 00:08:35,490 --> 00:08:40,723 We will see the, this experiment later on, when we get to the topic of filtering. 137 00:08:40,723 --> 00:08:41,317 So, 138 00:08:41,317 --> 00:08:46,410 in the next lesson, we will combine the transfer function concepts with the 139 00:08:46,410 --> 00:08:49,320 frequency conc spectrum concepts in order to 140 00:08:49,320 --> 00:08:51,470 determine the frequency response of a circuit. 141 00:08:52,860 --> 00:08:55,150 I will see you online, and I hope that 142 00:08:55,150 --> 00:08:57,620 you go to the form and ask and answer questions. 143 00:08:57,620 --> 00:08:58,140 Thank you.