The chapter introduces nonparametric detection theory, which is a method used to make decisions based on observed signals. Nonparametric detectors are effective because they can maintain consistent performance even with varying input noise levels. They are easier to implement compared to parametric detectors and do not require advanced mathematical knowledge. This approach is useful for solving problems where decisions need to be made between two options based on observed signals.