Data networks question - shannon capacity formula

In summary, a television picture is composed of 300,000 pixels, each with ten distinguishable brightness levels. To determine the bandwidth of the video signal, the formula C=Blog_2(1+SNR) is used. This includes calculating the bits per pixel, which is then multiplied by the number of pixels (300,000) and the frame rate (30) to get a total bandwidth of 30mbps. This is necessary for proper reproduction of the picture with a required channel signal-to-noise ratio of 30 dB. The frame rate represents the bits per second for each pixel, and multiplying it by the bits per pixel and the number of pixels gives the overall bandwidth.
  • #1
bos1234
27
0

Homework Statement


A television picture is composed of approximately 300,000 individual picture elements
(pixels), each of which can attain ten different and distinguishable brightness levels (such as
black and shades of gray) for proper contrast. If for any picture element, the probability of
occurrence of the ten brightness levels are equal, and the frame rate is 30. Determine the
bandwidth of the video signal. Assume that a channel signal-to-noise ratio (SNR) of 30 dB is
required for proper reproduction of any picture.


Homework Equations


soln. says to use C=Blog_2(1+SNR)

how many bits/pixel?
log_210 bits/pixel=3.32 bits/pixel

C=300,000 x 30 x 3.32 = 30mbps

then proceeds to find B.

Why are they calculating bits/pixel? and where did the 30 come from? frame rate?
 
Physics news on Phys.org
  • #2
I think it's easiest to understand this by doing unit analysis of a single pixel and then multiplying the answer by the number of pixels (300k) because it's sort of like 300k parallel channels.

So we want bits per second. We have pixels per second (framerate). If we could get bits per pixel, we could multiply the two and have:
[pixels]/[second] *[bits]/[pixel] = [bits]/[second]

so you find bits/pixel, multiply it, and scale by how many parallel channels you have (300k)
 
  • #3
thanks buddy. Got it now!
i didnt know frame rate was bits/second!
 

Related to Data networks question - shannon capacity formula

1. What is the Shannon capacity formula?

The Shannon capacity formula is a mathematical equation that calculates the maximum data transmission rate of a communication channel. It was developed by Claude Shannon in 1948 and is based on the channel's bandwidth and signal-to-noise ratio.

2. How is the Shannon capacity formula used in data networks?

The Shannon capacity formula is used in data networks to determine the maximum data rate that can be reliably transmitted over a given channel. It helps network engineers and designers to optimize their network for efficient data transmission and avoid data loss or errors.

3. Can the Shannon capacity formula be applied to all types of data networks?

Yes, the Shannon capacity formula is a universal formula and can be applied to all types of data networks, including wired and wireless networks. However, its accuracy may be affected by factors such as interference, signal attenuation, and network congestion.

4. What are the limitations of the Shannon capacity formula?

The Shannon capacity formula assumes ideal conditions and does not take into account real-world factors such as network traffic, protocol overhead, and error correction codes. It also does not consider the effects of delay or latency on data transmission.

5. How can the Shannon capacity formula be used to improve network performance?

By using the Shannon capacity formula, network engineers can calculate the maximum data rate of their network and make adjustments to improve its performance. This may include increasing the bandwidth, reducing noise or interference, and optimizing the network's protocols and configurations.

Similar threads

Replies
9
Views
2K
  • Engineering and Comp Sci Homework Help
Replies
1
Views
2K
  • Introductory Physics Homework Help
Replies
3
Views
2K
  • Introductory Physics Homework Help
Replies
2
Views
4K
  • Electrical Engineering
Replies
1
Views
3K
  • Mechanics
Replies
1
Views
12K
Replies
16
Views
3K
Replies
8
Views
3K
  • MATLAB, Maple, Mathematica, LaTeX
Replies
1
Views
2K
Back
Top