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For rebuild speed efficiency, you should make fillets in a minimum number of features. For example, if you have 100 edges to fillet, it is better for performance to do it with a single fillet feature that has 100 edges selected rather than 100 fillet features that have one edge selected. This is the one case where creating the feature and rebuilding the feature are both faster by choosing a particular technique (usually if it is faster to create, it rebuilds more slowly).
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For more on validating code, see 4.
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From Eq. (19.31) we nd that = 9.25 gives the correct solution: in that case, the power in the different subchannels are P1 = 8.25 P2 = 6.75 P3 = 0 (19.33) (19.34) (19.35)
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equation can be modi ed to Ps = 0.5 erfc ( /8 N0 ), where is the minimum distance of a point in the constellation from a decision line. Use MATLAB or an alternative computation tool to plot the probability of symbol error versus signal to noise ratio in dB. What are the signal to noise ratios (in dB) for the probabilities of symbol error of 10 2 and 10 3 Let us refer to these two SNRs as SNR-2 and SNR-3. Simulate transmission of the QPSK signal corrupted by additive Gaussian noise for 10,000 transmitted bits. Generate random binary bits and use each two bits to select a symbol in the constellation of part (a), add complex additive white Gaussian noise to the symbol so that the signal to noise ratio in dB is SNR-2, and use the decision lines to detect the symbols. Find the number of erroneous symbol decisions and divide it by the total number of symbols to calculate the symbol error rate. Compare the error rate with the expected error rate of 10 2 . Repeat part (d) for SNR-3 and error rate of 10 3 . Assume that a channel produces a xed phase error . Give an equation for calculation of the probability of error for a QPSK modem operating over this channel. Use the minimum distance from a decision line, , and Eq. 0.5 erfc ( /8 N0 ) for the calculation. Assume that the received SNR is 10 dB, and sketch the probability of error versus the phase error 0 < < /4. Repeat parts (c), (d), and (e) for a channel with a phase error of = /8.
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What are Shell Scripts Shell Script Basics Creating Your Own Scripts
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2. Connect the audio cable to the camcorder s audio out connectors (Figure 9.25). There will be two of these, one for the left channel and one for the right.
the DNS server yet, or another anomaly could be precluding a response. Troubleshooting is covered in detail in following sections. The PING utility returns data about a host name passed from an A type RR on the DNS server. A PTR RR is also created when the client registers with the DNS server and corresponds to a reverse lookup for that client.
Creating a database
32.5 ACP MEASUREMENT RESULTS FOR NADC AND GSM Figure 32.1 shows the ACP of a p/4DQPSK signal after running through a power ampli er with various amounts of backoff from saturation. The measurement application is set up to measure the adjacent channel on either side of the main channel with no guard bands. The results for the signal coming from the test source are that the ACP is 228 dBc. The speci cations require the ACP level to be 226 dBc or better. For the power ampli er under test in this example, it fails for signals greater than 3 dB backed off from saturation. The traces in the gure show that the amount of energy in the neighboring channels is steadily increasing as the input signal is increased. Figure 32.2 shows the ACP of a GMSK signal for the test signal from the signal generator as well as after going through the power ampli er at its saturation power level. The results are the same in both circumstances: the ACP is 216 dBc. Because the amplitude envelope for GMSK is constant, the amplitude distortions caused by compression in the power ampli er do not affect the signal. This makes the power ampli er design much more straightforward. The ampli er designer can focus on making the ampli er highly ef cient without worrying about linearity considerations. As GSM is phased out to accommodate new signal formats that can achieve higher data rates, ampli er designers struggle to maintain the highest
Software Repositories
Suppressing complex features is a great way to improve performance. Experienced users often create a configuration of a part that they use as a simplified config, where patterns, fillets, and extruded text features are suppressed. This becomes more important as you start working with assemblies. For reasons I discuss in the assemblies chapters, it can be a great advantage to make a configuration for each part called simplified. You can make a second configuration in template files so that new parts and assemblies automatically have this built in to them. n
When you are learning a new programming language, the first program written is traditionally a hello world application that does nothing more than compile the program and prove that it runs by printing hello world . The following after trigger simply prints after trigger when the trigger is executed:
One of the primary responsibilities of Unix system administrators in the decades since Unix systems first came into being has been managing file systems creating them, backing them up, mounting them, sharing them, and looking for ways to clean up space so that they would not fill up to capacity and become unusable. Users still don t do a good job of removing files they no longer need and our applications are increasingly data hungry. Even so, many system administrators are finding that the job of managing file systems has taken a dramatic turn for the better. Instead of, or maybe only in addition to, looking for core files and other likely candidates for removal so that space can be freed up, they are using tools that allow them to add disk space on the fly. Instead of, or maybe in addition to, backing up files to tape every night, they are preventing loss by storing files with some level of redundancy. In short, they are using volume management. Volume managers free system administrators from the confines of spindles and partitions and allow them to manage their disk space in response to demand. A file system far larger than any single disk on a server can be created from a series of small disks. File systems can be grown as needed and without shutting a server down or interrupting ongoing activity. Reliability and performance can be improved by using the right RAID level for the job. Hot spares can be ready and waiting for the next data crunch. This chapter introduces the concepts and terminology used in volume management, provides just enough information on the key volume management tools for Solaris Veritas Volume Manager and Sun s Solaris Volume Manager to make you want to jump in to the fray, and offers some insights and suggestions for making the best use of this technology.
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