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The circuit shown in Fig. 5.2 is a simple representation, using the new subcircuit, of a dual-output yback converter with a separate transformer winding for voltage regulation. The yback subcircuit essentially replaces the PWM switch model discussed in Chap. 4. The results of the gain-phase measurement of the yback converter are shown in Figs. 5.3 and 5.4 for a 30-mA load and a 1-A load on each output, respectively. The circuit has a bandwidth of 7 kHz with a phase margin of 75 and a 1-A load. At a 30-mA load, the performance is quite different because of the discontinuous operation. The 34 kHz would likely be a problem for most applications. Either the converter would require a preload or the 1-A load bandwidth would have to be reduced. This would sacri ce performance. Note that L1 and C4 are used to break the loop for the open-loop measurement. Voltage source V4 represents the injection signal. This method allows the DC path to be closed via L1, while the AC information is removed (essentially) by the very low frequency lter created by L1 and C4. Audio Susceptibility The same SPICE model can be used to evaluate closed-loop performance parameters, such as audio susceptibility. To use the model for these

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mation to find undervalued stocks, and that even investment fund managers, on average, cannot sleuth the market to detect undervalued stocks. An important exception to these studies is the research performed by Fama and French, and similar research by others, which we discuss in 2. These studies show that investors can consistently outperform the market by buying undervalued value stocks and selling overvalued growth stocks. MPT practitioners sometimes express disdain for technical or fundamental analysis. As such, MPT devotees tell investors not to bother to search for undervalued stocks but instead to pick a risk level that they can live with and diversify holdings among a portfolio of stocks. (See Principle 9.)

sets a bit in the frame to indicate that it has been successfully received, leaves the token set as busy, and transmits the frame on to the next station on the ring Because the token is still shown as busy, no other station can transmit Ultimately, the frame returns to the originator, at which time it is recognized as having been received correctly The station, therefore, removes the frame from the ring, frees the token, and passes it on to the next station (it is not allowed to send again just because it is in possession of a free token) This is where the overall fairness scheme of this technique shines through The very next station to receive a free token is the station that first indicated a need for it.

It will transmit its traffic, after which it will pass the token on to the next station on the ring, followed by the next station, and so on This technique works very well for situations in which high traffic congestion on the LAN is the norm Stations will always have to wait for what is called maximum token rotation time, that is, the amount of time it takes for the token to be passed completely around the ring, but they will always get a turn Thus, for high-congestion situations, a token-passing environment may be better Traditional token ring LANs operate at two speeds 4 and 16 Mbps Like Ethernet, these speeds were fine for the limited requirements of text-based LAN traffic that was characteristic of early LAN deployments.

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However, as demand for bandwidth climbed, the need to eliminate the bottleneck in the token ring domain emerged and fast token ring was born In 1998, the IEEE 8025 committee (the oversight committee for token ring technology) announced draft standards for 100 Mbps high-speed token ring (HSTR 8025t) A number of vendors stepped up to the challenge and began to produce high-speed token ring equipment including Madge Networks and IBM Gigabit token ring is on the horizon as draft standard 8025v, and while it may become a full-fledged product, many believe that it may never reach commercial status because of competition from the far less expensive Gigabit Ethernet..