Frequency and phase measurements using the Morlet transform

Introduction Telecommunication systems designed for Bluetooth or other standards deal with transmitted and received signals in the radio frequency (RF) range. Modulation methods and frequency-hopping techniques are employed to optimize access for multiple users. These communication architectures create RF signals whose frequency contents vary significantly in a short time window and whose phase changes have a strong effect on the correct decoding of the received signals. While many test methods, such as bit-error rate or data-jitter testing, seek to characterize the errors in the received data, the test time is rather long and it is desirable to analyze the frequency contents and phase characteristics of these RF signals even during the design stage to guarantee correct operations. Technology description Researchers at the University of Washington have invented methods to measure frequency and phase of a signal using the Morlet transform. These methods provide ease in data acquisition from the signal to be measured, a short measurement time, intelligent use of test resources between on-chip facilities and external instrument-based facilities, and the applicability to signals at ever-higher frequencies and lower amplitudes without significant modifications. These methods are applicable to the testing of circuits and systems for computer and communication. Business opportunity This invention offers an excellent alternative to the usual FFT in testing telecommunication systems where it is critical to keep timing information in signal spectra and to process non-stationary waveform data. The US wireless market revenue is expected to reach to USD 265.2 billion in 2009. Intellectual Property Position US 7,340,381: Characterization of radio frequency (RF) signals using wavelet-based parameter extraction, Issued March 2008.

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