Cirrus Logic had four patents in artificial intelligence during Q2 2024. The patents filed by Cirrus Logic Inc in Q2 2024 include a method for equalizing signals from input devices using order-statistic filtering, a system for determining user head orientation using smart devices with microphones, and circuitry for processing responses from electrochemical cells to stimuli by minimizing variance in sampled data. GlobalData’s report on Cirrus Logic gives a 360-degree view of the company including its patenting strategy. Buy the report here.

Cirrus Logic had no grants in artificial intelligence as a theme in Q2 2024.

Recent Patents

Application: Methods and systems for equalisation (Patent ID: US20240204741A1)

The patent filed by Cirrus Logic Inc. describes a method for equalizing a signal derived from an input device by applying an order-statistic filter in the frequency domain to generate a statistically filtered signal, which is then used to equalize the received signal. The equalization process involves setting an equalization target based on the statistically filtered signal and removing or suppressing components of the signal accordingly. The method also includes smoothing the statistically filtered signal using filters like moving average or Savitsky-Golay filter to enhance the equalization process.

Additionally, the patent outlines the use of different types of order-statistic filters such as median, percentile, minimum, trimmed mean, and trimmed minimum filters. The method can be applied to the entire signal or a subset of frequency bins, with the subset potentially spanning a frequency range of an artifact in the signal. The patent also covers the implementation of the method using a trained neural network and its application in various electronic devices like smartphones, tablets, laptops, gaming consoles, and more. Furthermore, the patent includes a system for equalizing signals and a computer-readable storage medium with instructions for performing the method.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.