Summary: (Blank Abstract)
The signal
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A message signal
Stereophonic radio transmits two signals simultaneously
that correspond to what comes out of the left and right
speakers of the receiving radio. While FM stereo is
commonplace, AM stereo is not, but is much simpler to
understand and analyze. An amazing aspect of AM stereo
is that both signals are transmitted within the same
bandwidth as used to transmit just one. Assume the left
and right signals are bandlimited to
| Diagram for part (b) |
|---|
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A clever system designer claims that the following
transmitter has, despite its complexity, advantages over
the usual amplitude modulation system. The message
signal
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The transfer function
In a so-called multi-tone system, several bits are
gathered together and transmitted simultaneously on
different carrier frequencies during a T-second
interval. For example, B bits would be transmitted
according to
In addition to additive white noise, metropolitan cellular radio channels also contain multipath: the attenuated signal and a delayed, further attenuated signal are received superimposed. Multipath occurs because the buildings reflect the signal and the reflected path length between transmitter and receiver is longer than the direct path.
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In digital cellular telephone systems, the base station (transmitter) needs to relay different voice signals to several telephones at the same time. Rather than send signals at different frequencies, a clever Rice engineer suggests using a different signal set for each data stream. For example, for two simultaneous data streams, she suggests BPSK signal sets that have the depicted basic signals.
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Thus, bits are represented in data stream 1 by
A signal
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Suppose we transmit speech signals over comparable digital and analog channels. We want to compare the resulting quality of the received signals. Assume the transmitters use the same power, and the channels introduce the same attenuation and additive white noise. Assume the speech signal has a 4 kHz bandwidth and, in the digital case, is sampled at an 8 kHz rate with eight-bit A/D conversion. Assume simple binary source coding and a modulated BPSK transmission scheme.
Consider the following 5-letter source.
| Letter | Probability |
|---|---|
| a | .5 |
| b | 0.25 |
| c | 0.125 |
| d | 0.0625 |
| e | 0.0625 |
Consider the following 5-letter source.
| Letter | Probability |
|---|---|
| a | 0.4 |
| b | 0.2 |
| c | 0.15 |
| d | 0.15 |
| e | 0.1 |
When we sample a signal, such as speech, we quantize the
signal's amplitude to a set of integers. For a b-bit
converter, signal amplitudes are represented by
y.mat. Its sampled values lie in the
interval (-1, 1). To simulate a 3-bit converter, we use
Matlab's round function to create quantized amplitudes
corresponding to the integers [0 1 2 3 4 5 6 7].
y_quant = round(3.5*y + 3.5);
Find the relative frequency of occurrence of quantized
amplitude values. The following Matlab program computes
the number of times each quantized value occurs.
for n=0:7
count(n+1) = sum(y_quant == n);
end
Find the entropy of this source.
In a digital cellular system, a signal bandlimited to 5~kHz is sampled with a two-bit A/D converter at its Nyquist frequency. The sample values are found to have the shown relative frequencies.
| Sample Value | Probability |
|---|---|
| 0 | 0.15 |
| 1 | 0.35 |
| 2 | 0.3 |
| 3 | 0.2 |
We send the bit stream consisting of Huffman-coded samples using one of the two depicted signal sets.
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The Universal Product Code (UPC), often known as a bar code, labels virtually every sold good. An example of a portion of the code is shown.
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Here a sequence of black and white bars, each having
width
A code maps pairs of information bits into codewords of length 5 as follows.
| Data | Codeword |
|---|---|
| 00 | 00000 |
| 01 | 01101 |
| 10 | 10111 |
| 11 | 11010 |
An Aggie engineer wants not only to have codewords for
his data, but also to hide the information from Rice
engineers (no fear of the UT engineers). He decides to
represent 3-bit data with 6-bit codewords in which none
of the data bits appear explicitly.
It is important to realize that when more transmission
errors than can be corrected, error correction
algorithms believe that a smaller number of errors have
occurred and correct accordingly. For example, consider
a (7,4) Hamming Code having the generator matrix
We have found that digital transmission errors occur with a probability that remains constant no matter how "important" the bit may be. For example, in transmitting digitized signals, errors occur as frequently for the most significant bit and they do for the least significant bit. Yet, the former errors have a much larger impact on the overall signal-to-noise ratio than the latter. Rather than applying error correction to each sample value, why not concentrate the error correction on the most important bits? Assume that we sample an 8 kHz signal with an 8-bit A/D converter. We use single-bit error correction on the most significant four bits and none on the least significant four. Bits are transmitted using a modulated BPSK signal set over an additive white noise channel.
Errors occur in reading audio compact disks. Very few errors are due to noise in the compact disk player; most occur because of dust and scratches on the disk surface. Because scratches span several bits, a single-bit error is rare; several consecutive bits in error are much more common. Assume that scratch and dust-induced errors are four or fewer consecutive bits long. The audio CD standard requires 16-bit, 44.1 kHz analog-to-digital conversion of each channel of the stereo analog signal.
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RU Communication Systems has been asked to design a communication system that meets the following requirements.
| b | H |
|---|---|
| 3 | 2.19 |
| 4 | 3.25 |
| 5 | 4.28 |
| 6 | 5.35 |
Can these specifcations be met? Justify your answer.
As HDTV (high-definition television) was being developed, the FCC restricted this digital system to use in the same bandwidth (6 MHz) as its analog (AM) counterpart. HDTV video is sampled on a 1035 x 1840 raster at 30 images per second for each of the three colors. The least-acceptable picture received by television sets located at an analog station's broadcast perimeter has a signal-to-noise ratio of about 10 dB.
Assume a population of