Mixed Domain Oscilloscopes Tektronix. Key performance specifications. Wave Inspector controls provide unprecedented efficiency in viewing, navigating, and analyzing waveform data. Zip through your long record by turning the outer pan. In this tutorial we will learn how to use internal ADC Module of a PIC Microcontroller using MPLAB XC8 compiler. For demonstration we will use PIC 16F877A. This article describes how LZW data compression works, gives a little bit of background on where it came from, and provides some working C code so you can experiment. T9gGgDRJnA/T67HaVEeneI/AAAAAAAAAg0/9kjAvrr2jj4/s1600/sample1.jpg' alt='Reading Data From Serial Port Using Matlab To Find' title='Reading Data From Serial Port Using Matlab To Find' />Oscilloscope 4 analog channels 1 GHz, 5. MHz, 3. 50 MHz, and 2. MHz bandwidth models Bandwidth is upgradeable up to 1 GHz Up to 5 GSs sample rate 2. M record length on all channels 3. Standard passive voltage probes with 3. Using the Raspberry Pi GPIO with Python. So you got your Raspberry Pi, installed an OS and using it just like your computer. Great Now what You didnt buy a. For more info see my blog post here http This is part1 of a 2 part tutorial in this video I will show you how to make a. Introduction. In the last post, I presented how the simulation data found on the home computer of Captain Zaharie Shah suggests that the recovered data were from a. The netCDF Operators, or NCO, are a suite of programs known as operators. The operators facilitate manipulation and analysis of data stored in the selfdescribing. Yokogawa is dedicated to providing topnotch service and reliable products with consistently high performance and precision. Learn more about our quality products and. Ad blocker interference detected Wikia is a freetouse site that makes money from advertising. We have a modified experience for viewers using ad blockers. Atmega32 is a very popular high performance 8 bit Atmel AVR Microcontroller We start programming from blinking LED with a delay Atmel Studio programming. F capacitive loading and 1 GHz or 5. MHz analog bandwidth 2. Spectrum Analyzer Optional Frequency range of 9 k. Hz 3 GHz or 9 KHz 6 GHz Ultra wide capture bandwidth 1 GHz Time synchronized capture of spectrum analyzer with analog and digital acquisitions Frequency vs. ArbitraryFunction Generator Optional 1. MHz waveform generation 1. MSs arbitrary generator sample rate 4. Logic Analyzer Optional 1. M record length on all channels 6. Protocol Analyzer Optional Serial bus support for I2. C, SPI, RS 2. 324. UART, USB 2. 0, Ethernet, CAN, CAN FD, LIN, Flex. Ray, MIL STD 1. ARINC 4. Audio standards 6. Digital Voltmeter Frequency Counter Free with product registration 4 digit AC RMS, DC, and ACDC RMS voltage measurements 5 digit frequency measurements Typical applications. Embedded design. Discover and solve issues quickly by performing system level debug on mixed signal embedded systems including todays most common serial bus and wireless technologies. Power design. Make reliable and repeatable voltage, current, and power measurements using automated power quality, switching loss, harmonics, ripple, modulation, and safe operating area measurements with the widest selection of power probes in an affordable solution. EMI troubleshooting. Quickly track down the source of EMI in an embedded system by determining which time domain signals may be causing unwanted EMI. See in real time the effects time domain signals have on system EMI emissions. Wireless troubleshooting. Whether using Bluetooth, 8. Wi. Fi, Zig. Bee, or some other wireless technology, the MDO4. C enables viewing an entire system analog, digital, and RF, time synchronized to understand its true behavior. Capture an ultra wide band in a single capture to view interactions among multiple wireless technologies, or to view an entire broadband frequency range from a modern standard like 8. Education. Managing multiple instruments on a bench can be troublesome. The MDO4. 00. 0C eliminates the need to manage multiple instruments by integrating six instrument types into a single instrument. The integration of a spectrum analyzer enables teaching of advanced wireless technology course work while minimizing the investment required. Full upgradeability enables adding functionality over time as needs change or budgets allow. Manufacturing Test and Troubleshooting. Size and space constraints can play havoc on a manufacturing floor. The unique 6 in 1 MDO4. C minimizes rack or bench space by integrating multiple instruments into one small package. Integration reduces cost associated with utilizing multiple different instrument types in manufacturing test or troubleshooting stations. Oscilloscope. At the core of the MDO4. C Series is a world class oscilloscope, offering comprehensive tools that speed each stage of debug from quickly discovering anomalies and capturing them, to searching your waveform record for events of interest and analyzing their characteristics and your devices behavior. Digital phosphor technology with Fast. Acq high speed waveform capture. To debug a design problem, first you must know it exists. Every design engineer spends time looking for problems in their design, a time consuming and frustrating task without the right debug tools. Digital phosphor technology with Fast. Acq provides you with fast insight into the real operation of your device. Its fast waveform capture rate greater than 3. To further enhance the visibility of rarely occurring events, intensity grading is used to indicate how often rare transients are occurring relative to normal signal characteristics. There are four waveform palettes available in Fast. Acq acquisition mode. The Temperature palette uses color grading to indicate frequency of occurrence with hot colors like redyellow indicating frequently occurring events and colder colors like bluegreen indicating rarely occurring events. The Spectral palette uses color grading to indicate frequency of occurrence with colder colors like blue indicating frequently occurring events and hot colors like red indicating rarely occurring events. The Normal palette uses the default channel color like yellow for channel one along with gray scale to indicate frequency of occurrence where frequently occurring events are bright. The Inverted palette uses the default channel color along with gray scale to indicate frequency of occurrence where rarely occurring events are bright. These color palettes quickly highlight the events that over time occur more often or, in the case of infrequent anomalies, occur less often. Infinite or variable persistence choices determine how long waveforms stay on the display, helping you to determine how often an anomaly is occurring. Digital phosphor technology enables a greater than 3. Triggering. Discovering a device fault is only the first step. Next, you must capture the event of interest to identify root cause. To enable this, the MDO4. C contains over 1. And with up to a 2. M record length, you can capture many events of interest, even thousands of serial packets, in a single acquisition for further analysis while maintaining high resolution to zoom in on fine signal details and record reliable measurements. Over 1. 25 trigger combinations make capturing your event of interest easy. Wave Inspector waveform navigation and automated search. With long record lengths, a single acquisition can include thousands of screens of waveform data. Wave Inspector, the industrys best tool for waveform navigation and automated search, enables you to find events of interest in seconds. Wave Inspector controls provide unprecedented efficiency in viewing, navigating, and analyzing waveform data. Zip through your long record by turning the outer pan control 1. Get details from the beginning to end in seconds. See something of interest and want to see more details Just turn the inner zoom control 2. Zoom and pan. A dedicated, two tier front panel control provides intuitive control of both zooming and panning. The inner control adjusts the zoom factor or zoom scale turning it clockwise activates zoom and goes to progressively higher zoom factors, while turning it counterclockwise results in lower zoom factors and eventually turning zoom off. No longer do you need to navigate through multiple menus to adjust your zoom view. The outer control pans the zoom box across the waveform to quickly get to the portion of waveform you are interested in. The outer control also utilizes force feedback to determine how fast to pan on the waveform. The farther you turn the outer control, the faster the zoom box moves. Pan direction is changed by simply turning the control the other way. User marks. Press the Set Mark front panel button to place one or more marks on the waveform. Navigating between marks is as simple as pressing the Previous and Next buttons on the front panel. Search Marks. The Search button allows you to automatically search through your long acquisition looking for user defined events. All occurrences of the event are highlighted with search marks and are easily navigated to, using the front panel Previous and Next buttons. LZW Data Compression. Dr. Dobbs Journal. October, 1. 98. 9Note I have an updated article on LZW posted here. Please check out the new article and tell me what you think. I hope it improves on this post and makes LZW easier to understand. Thanks to Jan Hakenberg for correction of a couple of errors In Figure 4, the values for new table entries 2. Thanks to David Littlewood for pointing out the missing line of pseudocde in Figure 6. Thanks to Joe Snyder for pointing out a line where a macro should replace a hard coded constant. Any programmer working on mini or microcomputers in this day and age should have at least some exposure to the concept of data compression. In MS DOS world, programs like ARC, by System Enhancement Associates, and PKZIP, by PKware are ubiquitous. ARC has also been ported to quite a few other machines, running UNIX, CPM, and so on. CPM users have long had SQ and USQ to squeeze and expand programs. Unix users have the COMPRESS and COMPACT utilities. Yet the data compression techniques used in these programs typically only show up in two places file transfers over phone lines, and archival storage. Data compression has an undeserved reputation for being difficult to master, hard to implement, and tough to maintain. In fact, the techniques used in the previously mentioned programs are relatively simple, and can be implemented with standard utilities taking only a few lines of code. This article discusses a good all purpose data compression technique Lempel Ziv Welch, or LZW compression. The routines shown here belong in any programmers toolbox. For example, a program that has a few dozen help screens could easily chop 5. K bytes off by compressing the screens. Or 5. 00. K bytes of software could be distributed to end users on a single 3. K byte floppy disk. Highly redundant database files can be compressed down to 1. Once the tools are available, the applications for compression will show up on a regular basis. LZW Fundamentals. The original Lempel Ziv approach to data compression was first published in in 1. Terry Welchs refinements to the 1. The algorithm is surprisingly simple. In a nutshell, LZW compression replaces strings of characters with single codes. It does not do any analysis of the incoming text. Instead, it just adds every new string of characters it sees to a table of strings. Compression occurs when a single code is output instead of a string of characters. The code that the LZW algorithm outputs can be of any arbitrary length, but it must have more bits in it than a single character. The first 2. 56 codes when using eight bit characters are by default assigned to the standard character set. The remaining codes are assigned to strings as the algorithm proceeds. The sample program runs as shown with 1. This means codes 0 2. Compression. The LZW compression algorithm in its simplest form is shown in Figure 1. A quick examination of the algorithm shows that LZW is always trying to output codes for strings that are already known. And each time a new code is output, a new string is added to the string table. Routine LZWCOMPRESSCODE STRING get input character. WHILE there are still input characters DO    CHARACTER get input character    IF STRINGCHARACTER is in the string table then        STRING STRINGcharacter    ELSE        output the code for STRING        add STRINGCHARACTER to the string table        STRING CHARACTER    END of IFEND of WHILEoutput the code for STRING The Compression Algorithm. Figure 1. A sample string used to demonstrate the algorithm is shown in Figure 2. The input string is a short list of English words separated by the character. Stepping through the start of the algorithm for this string, you can see that the first pass through the loop, a check is performed to see if the string W is in the table. Since it isnt, the code for is output, and the string W is added to the table. Since we have 2. 56 characters already defined for codes 0 2. After the third letter, E, has been read in, the second string code, WE is added to the table, and the code for letter W is output. This continues until in the second word, the characters and W are read in, matching string number 2. In this case, the code 2. Descargar Adobe Photoshop Cs3 Gratis En Espa Ol Completo En on this page. The process continues until the string is exhausted and all of the codes have been output. Input String WEDWEWEEWEBWETCharacter Input. Code Output. New code value. New StringW2. 56WEW2. WEDE2. 58. EDD2. DWE2. WEE2. EWEE2. 60. 26. WEEW2. EWEB2. 57. WEBB2. BWET2. 60. WETEOFTThe Compression Process. Figure 2. The sample output for the string is shown in Figure 2 along with the resulting string table. As can be seen, the string table fills up rapidly, since a new string is added to the table each time a code is output. In this highly redundant input, 5 code substitutions were output, along with 7 characters. If we were using 9 bit codes for output, the 1. Of course, this example was carefully chosen to demonstrate code substitution. In real world examples, compression usually doesnt begin until a sizable table has been built, usually after at least one hundred or so bytes have been read in. Decompression. The companion algorithm for compression is the decompression algorithm. It needs to be able to take the stream of codes output from the compression algorithm, and use them to exactly recreate the input stream. One reason for the efficiency of the LZW algorithm is that it does not need to pass the string table to the decompression code. The table can be built exactly as it was during compression, using the input stream as data. This is possible because the compression algorithm always outputs the STRING and CHARACTER components of a code before it uses it in the output stream. This means that the compressed data is not burdened with carrying a large string translation table. Routine LZWDECOMPRESSCODE Read OLDCODEoutput OLDCODEWHILE there are still input characters DO    Read NEWCODE    STRING get translation of NEWCODE    output STRING    CHARACTER first character in STRING    add OLDCODE CHARACTER to the translation table    OLDCODE NEWCODEEND of WHILE The Decompression Algorithm. Figure 3. The algorithm is shown in Figure 3. Just like the compression algorithm, it adds a new string to the string table each time it reads in a new code. All it needs to do in addition to that is translate each incoming code into a string and send it to the output. Figure 4 shows the output of the algorithm given the input created by the compression earlier in the article. The important thing to note is that the string table ends up looking exactly like the table built up during compression. The output string is identical to the input string from the compression algorithm. Note that the first 2. Input Codes W E D 2. E 2. 60 2. 61 2. 57 B 2. TInputNEWCODEOLDCODESTRINGOutput. CHARACTERNew table entryWWW2. WEWEE2. 57 WEDEDD2. ED2. 56. DW2. 59 DE2. EE2. 60 WE2. 60. EWE2. E2. EE2. 62 WEE2. WEW2. 63 EWB2. BB2. WEB2. 60. BWE2. 65 BT2. TT2. 66 WETThe Decompression Process. Figure 4. The Catch. Unfortunately, the nice simple decompression algorithm shown in Figure 4 is just a little too simple. There is a single exception case in the LZW compression algorithm that causes some trouble to the decompression side.