What Happens to the Received Bits?

In summary, the maximum data rate that can be transmitted over a noiseless channel is determined by the channel bandwidth and the number of levels that can be changed in the carrier signal. This rate can be increased by increasing either the bandwidth or the number of levels. However, if the bandwidth is smaller than the signal bandwidth, the transmitted signal will be distorted. To maintain the spectral content, the receiving end must be aware of the format of the data and the sample rate at which it was transmitted.
  • #1
fisico30
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Hello Forum,

the "maximum" data rate that can be used over a physical "noiseless" channel is given by

bits/s= 2*B* log2 M

where B is the channel bandwidth (set of frequencies that are passed with little attenuation), and M is the number of levels we can change the chosen parameter of the carrier signal that we modulate. We can increase the max bit rate by either increasing B or M.

If B is maintained fixed, we can increase the max data rate to infinity (in theory only of course). Let's say there is no noise and we have a baseband signal m(t) to be transmitted whose bandwidth is larger than the channel bandwidth: W>B...

Even if we can push the max data rate to whatever limit we want, what happens to the transmitted signal? Will it be smeared out regardless of the max data rate we have?

Of course we digitize the signal m(t) by sampling it at f>2W, and quantize the samples to get a stream of 1s and 0s. Example: W=30 Hz, B=5 Hz and the duration of m(t) is 20 seconds, and we quantize the sample so each one has 10 bits...
We get a total of 60*20*10=1200 bits...Now we need to transmit them through the channel whose bandwidth is simply 5 Hz and M=1000...What happens to the received bits?

thanks!
fisico30
 
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  • #2
The receiving end has to be aware of the format of the data it is receiving if you want to digitize it and then decode it with as little loss of information as possible.

So the receiving end would know that it was receiving 10 bit "packets" of data, so that every 10 bits represents a quantized level.

So for the 1200 bits it received it divides that up into 120 packets of 10 bits each.

Then if you want to maintain the spectral content, it has to know the sample rate at which the packets were sampled, in this case 60Hz. So if you wanted to convert the signal back to analog the packets would be D/A at a 60Hz rate.
 

1. What is capacity in the context of communication channels?

Capacity refers to the maximum amount of information that can be transmitted through a communication channel per unit of time. It is measured in bits per second (bps) and is influenced by the bandwidth and noise of the channel.

2. How is capacity related to the bandwidth of a channel?

In general, the higher the bandwidth of a channel, the higher its capacity. This is because a wider bandwidth allows for more frequencies to be transmitted, resulting in a larger amount of information being transmitted per unit of time.

3. What is the Nyquist Theorem and how does it relate to capacity?

The Nyquist Theorem, also known as the Nyquist-Shannon Sampling Theorem, states that the maximum rate at which a signal can be sampled and still be accurately reconstructed is equal to twice the bandwidth of the signal. This means that the bandwidth of a channel limits its capacity according to the Nyquist Theorem.

4. Can the capacity of a channel be increased beyond its bandwidth using modulation techniques?

Yes, modulation techniques can be used to increase the capacity of a channel beyond its bandwidth. This is achieved by encoding multiple signals onto different frequencies within the channel's bandwidth, effectively increasing the amount of information that can be transmitted per unit of time.

5. What factors can affect the actual capacity of a communication channel?

The actual capacity of a channel may be affected by various factors, such as noise, interference, and the type of modulation used. Additionally, the quality of the transmission equipment, the distance between the transmitter and receiver, and the presence of other signals in the same channel can also impact the channel's capacity.

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