Question

What is the expected number of errors if 1000 bits are transmitted through a binary symmetric channel with $p=0.001$ ?

   What is the expected number of errors if 1000 bits are transmitted through a binary symmetric channel with $p=0.001$ ?
Applied Algebra: Codes, Ciphers and Discrete Algorithms
Applied Algebra: Codes, Ciphers and Discrete Algorithms
Darel W. Hardy, Fred… 2nd Edition
Chapter 5, Problem 7 ↓

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We need to find the expected number of errors when 1000 bits are transmitted through a binary symmetric channel (BSC). A BSC is a type of communication channel where each bit transmitted has a fixed probability \( p \) of being altered (flipped from 0 to 1 or from  Show more…

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What is the expected number of errors if 1000 bits are transmitted through a binary symmetric channel with $p=0.001$ ?
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Key Concepts

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Binary Symmetric Channel
A binary symmetric channel is a model used in digital communications where each transmitted bit has a fixed probability of being flipped (i.e., received in error) independently of other bits. It captures the idea of symmetric error behavior in both bit states, making it a fundamental concept for analyzing error performance in communication systems.
Expected Value
The expected value is a statistical measure that represents the mean or average outcome of a random variable over many trials. In the context of error analysis, it is computed by summing the products of each possible error count with its probability, providing a predicted average number of errors over repeated transmissions.
Binomial Distribution
The binomial distribution arises from a series of independent Bernoulli trials, where each trial has two possible outcomes (success or failure) with constant probability. When modeling the number of bit errors in a transmission, each bit error represents a success (or failure, depending on the perspective), and the overall error count follows this distribution with its expected value given by the product of the number of trials and the error probability.

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- Let X denote the number of bits received in error in a digital communication channel, and assume that X is a binomial random variable with p = 0.001. If 1000 bits are transmitted, determine the following:

a-communication-channel-transmits-a-sequence-of-bits-os-and-1s-suppose-that-for-each-bit-transmitted-there-is-a-10-probability-of-observing-a-transmission-error-a-that-becomes-0-or-a-0-that-02097

A communication channel transmits a sequence of "bits" (0s and 1s). Suppose that for each bit transmitted, there is a 10% probability of observing a transmission error (a 1 that becomes 0 or a 0 that becomes 1). Additionally, the errors are assumed to occur independently. Consider a 1,000-bit transmission. What is the approximate probability that at most 125 errors will occur?

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