If we have a binary symmetric channel with an error probability Pe , then for error freecommunication over this channel, message from a source with entropy H(m) must be encoded by binary codes with a word length of at least H(m)/Cs where
Cs = 1-[ Pe log(1/ Pe)+(1- Pe) log( ) ]
The parameter Cs is called the channel capacity.
Source: ewhatnhow.com/what-is-channel-capacity/
The transmission capacity is based on a formula describing the power between a transmitter and a receiver. The ratio of these two numbers and the formula describes the capacity of the channel.
due to more data there will be more channels and having more information will take more time on a channel this why there will be more channel capacity
The transmission capacity is based on a formula describing the power between a transmitter and a receiver. The ratio of these two numbers and the formula describes the capacity of the channel.
Bandwith
Calculate the capacity of a telephone channel of 3000hz and signal to noise ratio of 3162?
Channel capacity - It is the rate at which the data can be transmitted over a given path, or channel, under the given conditions. Key factors affecting the channel capacity are- Data rate- speed of data transmission measured in bits per second. Bandwidth – Maximum. Bandwidth, noise, and error rate.
b log(1+S/N)
Using shannon capacity concept calculate the capacity of a telephone channel of 3000hz and signal to noise ratio of 3162? Answer this question…
16 bit
20kbps
the volume of water in a river channel
C = B * log2(1 + SNR) C= channel capacity B= Bandwidth , telephone lines have a usable range of around 3400Hz = =