Skip to Main Content
An algorithm, based on Monte Carlo techniques, is presented for the design and analysis of a crystal controlled oscillator. A digital computer simulates the oscillator as its circuit components change in accordance with their probability distributions. Selection of the final oscillator design is based on the probability of circuit failure as calculated by the computer. This method should yield improved frequency stability and reduced cost compared with results obtained from conventional design methods.