Write a matlab function y = channel(x, p) that takes a vector of transmitted bits x and p as input and returns the vector of received bits y. (b) looking at the received bit y , the receiver estimates the transmitted bit in the form of xˆ. a maximum likelihood (ml) estimator uses the following decision rule to find xˆ: xˆ = ( y if p ≥ (1 − p) y¯ if p < (1 − p) where y¯ is the complementary bit to y , i. e. y¯ = 0 if y = 1, and y¯ = 1 if y = 0. show that the above decision rule is the same as the one that finds b which maximizes p[y = y|x = b] over all values of b. note both b and y can be 0 or 1. p[y = y|x = b] is called the likelihood of y given x. (c) write a matlab function xhat = mlreceiver(y, p) that takes a vector of received bits y and p as input and returns the vector of estimated bits xhat.

The technology acceptance model (tam) is a two-factor model that describes user acceptance of new or replacement technology solutions (davis, 1989). this evaluation model has withstood the test of time and is widely used. the model is based upon perceptions and beliefs of individuals and measures two types of factors: (a) perceived ease of use and (b) perceived usefulness. prepare an analysis (briefing paper) (5 to 7 strong paragraphs) in which you explain how cybersecurity researchers could use the tam model to explore the factors which affect employee acceptance of biometrics used for access to facilities and/or computing systems. what research questions might they ask? what measurements would be needed? post your briefing paper as a reply to this topic. remember to cite your sources (3 minimum) and include a reference list at the end of your posting.