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.
The error rate directly impacts channel capacity by determining the maximum amount of information that can be reliably transmitted over a communication channel. As the error rate increases, the likelihood of data corruption rises, which reduces the effective capacity of the channel. According to Shannon's capacity theorem, if the error rate exceeds a certain threshold, the channel's capacity can drop significantly, making it challenging to achieve reliable communication. Therefore, minimizing the error rate is crucial for maximizing channel capacity and ensuring efficient data transmission.
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…
Yes, channel capacity is directly related to the signal-to-noise ratio (SNR). According to the Shannon-Hartley theorem, the maximum data rate that can be transmitted over a communication channel is proportional to the logarithm of the SNR. Higher SNR allows for more reliable transmission and thus increases the channel capacity. Conversely, lower SNR results in reduced capacity due to increased noise interference.
16 bit
20kbps