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Data Speed Modems work at various speeds, usually measured in kilobits per second (kbps) or megabits per second (Mbps) Sometimes you ll hear about speed units called the baud and kilobaud (A kilobaud is 1000 baud) Baud and bits per second are almost the same units, but they are not identical People sometimes use the term baud when they really mean bps Modem speeds, particularly in cable, fiber-optic, and wireless networks, keep increasing as computer communications technology advances Modems are rated according to the highest data speed they can handle A typical telephone modem works at about 56 kbps Modems for more advanced connections operate much faster Slow Modems A computer works with binary digital signals, which are rapidly fluctuating direct currents For digital data to be conveyed over a telephone or radio circuit, the data must be converted to analog form In a telephone modem or radio-transceiver modem, this is done by changing the digit 1 into an audio tone, and the digit 0 into another tone with a different pitch The result is an extremely fast back-and-forth alternation between the two tones In modulation, digital data from the computer is changed into analog data for transmission over the telephone line or radio medium The modulator is therefore a digital-to-analog converter (D/A converter or DAC) Demodulation changes the analog signals from the telephone line or radio medium back to digital signals that a computer can understand The demodulator is thus an analogto-digital converter (A/D converter or ADC) The highest practical speed for this type of modem is approximately 56,000 bits per second (bps), or 56 kilobits per second (kbps) Amateur radio operators use a variety of digital modes at considerably slower speeds than 56 kbps for Internet-like communications The principal advantage of amateur radio lies in the fact that it can work when all else fails Such communications are not fast, but no infrastructure is.

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Both single page and multi-page Tiff image files are acceptable.
Both single page and multi-page Tiff image files are acceptable.

In the case that F is a constant matrix, it can be shown by direct di erentiation that (t) = ( , t) = eFt , and eF( t) (361)

needed This makes it possible for amateur radio operators to provide emergency communications into and out of areas stricken by natural disasters that destroy the conventional communications infrastructure

The matrix exponential, its properties, and its computation are discussed in Section B12 Given this special case of ( , t) we have that eqn (360) becomes

(362)

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Internal versus External Modems An internal modem is a printed-circuit board, also called a card Virtually all computers, both desktop and notebook, are sold with internal modems that can interface with the telephone line at speeds of up to 56 kbps An external modem is a self-contained unit It has a cord that runs to either the computer s serial data port (also called the communications port) or one of the USB ports, and another cord that runs to the telephone line, cable system, or satellite dish If you want to use a DSL, cable, or satellite Internet connection, you will usually have to buy or rent an external modem from the service provider

Assuming that G is time-invariant, the output is determined by multiplying eqn (362) on the left by the measurement matrix H

(363)

The Internet is a worldwide system, or network, of computers It got started in the late 1960s, originally conceived as a network that could survive nuclear war Back then it was called ARPAnet, named after the Advanced Research Project Agency (ARPA) of the United States federal government

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De ning m(t) = HeFt G, which is the impulse response of the linear system, we see that eqn (363) is the linear combination of the response due to initial conditions and the response due to the input The response to the input u(t) is determined as the convolution of the impulse response m(t) with u(t) The Laplace transform of the impulse response is the transfer 1 function M(s) = H (sI F) G derived in eqn (351) An approximate method to compute (t + , t) for small when F(t) is slowly time-varying is discussed in Section 7252

It is often the case that a system of interest is naturally described by continuous-time di erential equations, but that the system implementation is more convenient in discrete-time In these circumstances, it is of interest to determine a discrete-time model that is equivalent to the continuous-time model at the discrete-time instants tk = kT for some xed value T > 0 and k = 0, 1, 2, Equivalence meaning that the discrete and continuous-time models predict the same system state at the speci ed discrete-time instants If F is a constant matrix, then from eqn (362) xk+1 xk+1 = = eF

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