Synaptics Incorporated

Methods and systems for close detection are provided. An input device has an opened state and a closed state. The input device includes a first portion comprising a touch sensor having a sensing area. The touch sensor includes a plurality of transmitter electrodes and a plurality of receiver electrodes. The input device also has a second portion comprising a plurality of features. A sensor circuit is configured to drive the plurality of transmitter electrodes with sensing signals and receive resulting signals from the plurality of receiver electrodes. A processing system is configured to generate an acquired image from at least a portion of the sensing area; compare the acquired image to a reference image, wherein the reference image includes data corresponding to the plurality of features; and determine whether the input device is in the closed state based on the comparison of the acquired image to the reference image.

This disclosure provides methods, devices, and systems for audio signal processing. The present implementations more specifically relate to low-latency speech enhancement. In some aspects, a speech enhancement system may receive a number (B) of frames of a signal, where each of the B frames include a number (N) of time-domain samples. The speech enhancement system may transform the B*N time-domain samples into B*N first frequency-domain samples based on an N-point fast Fourier transform (FFT), and may further transform the B*N first frequency-domain samples into B*N second frequency-domain samples based on a B-point FFT. The speech enhancement system may determine a probability of speech in the signal based at least in part on the B*N second frequency-domain samples. In some implementations, the speech enhancement system may decimate the B*N second frequency-domain samples by a factor (D), and the probability of speech is determined based on the B*N/D decimated second frequency-domain samples.

This disclosure provides methods, devices, and systems for active noise control (ANC). The present implementations more specifically relate to filter adaptation techniques for recursively training an infinite impulse response (IIR) filter to convert a reference audio signal to an anti-noise signal. In some aspects, an ANC system may record, via a feedforward microphone, a reference audio signal representing external noise, and may further record, via a feedback microphone, an error signal representing residual noise resulting from passive attenuation of the external noise via a primary path between the microphones. The ANC system may further estimate an IIR filter that converts the reference audio signal to the error signal based on a secondary path. In some implementations, the ANC system may recursively update the IIR filter coefficients based, at least in part, on the coefficients associated with previous frames of the reference audio signal and the error signal.

A method for performing a scanning process using adaptive scanning, comprising: driving, by a processing system of an input device, one or more of a first set of electrodes to generate first sensing signals that are detectable by a second set of electrodes; obtaining first resulting signals associated with the first sensing signals via the second set of electrodes; determining, based on the first resulting signals, a first subset of the second set of electrodes that detected an input object on a display device; driving one or more of the first subset of the second set of electrodes that detected the input object to generate second sensing signals that are detectable by the first set of electrodes; and obtaining second resulting signals associated with the second sensing signals via the first set of electrodes.

A method and a system for operating an artificial intelligence (AI) assistant. In some implementations, a method may include receiving a user input, the user input including a user question; generating a first vector representing the user question; matching the first vector to a second vector representing a question stored in a database of questions and answers at the computing device, the database of questions and answers including a plurality of questions extracted from a knowledge base associated with the computing device and respective answers associated with the plurality of questions; and selectively escalating the user question for processing by a machine learning model.

A system and method for transmitting signals using an input device is provided. The input device comprises a display and a touch sensor. The touch sensor has a plurality of sensor electrodes and a sensor circuit. The plurality of sensor electrodes are configured to transmit a periodic signal corresponding to a first waveform and a second waveform. The sensor circuit has a first charge pump configured to generate the first waveform to drive a first set of sensor electrodes of the plurality of sensor electrodes, and a second charge pump to configured generate the second waveform to drive a second set of sensor electrodes, different from the first set of sensor electrodes.

A sensing device and method for driving segmented electrodes is provided. The sensing device includes a sensing area having a first sensing region and a second sensing region. The sensing device also includes a plurality of receiver electrodes comprising a first set of receiver electrodes disposed in the first sensing region and a second set of receiver electrodes disposed in the second sensing region and a plurality of segmented transmitter electrodes. Each segmented transmitter electrode comprises a first transmitter electrode and a second transmitter electrode. The first transmitter electrode is isolated from the second transmitter electrode such that the first transmitter electrode is separately controllable from the second transmitter electrode. The first transmitter electrode is disposed in the first sensing region and the second transmitter electrode is disposed in the second sensing region. The device is configured to drive the plurality of segmented transmitter electrodes with sensing signals; receive resulting signals from the plurality of receiver electrodes; and detect presence of an input object proximate to the sensing area.

This disclosure provides methods, devices, and systems for video coding. The present implementations more specifically relate to autoencoders that support infer-frame coding in the latent domain. A video encoder may convert a frame of video from the pixel domain to the latent domain based on a machine learning model. For example, the machine learning model may be trained to transform the video frame into a tensor of latent attributes. In some aspects, the video encoder may combine the resulting tensor with a tensor of latent attributes associated with a previously-encoded video frame and transform the resulting tensor into a vector that includes latent attributes from both the current video frame and the previous video frame based on an inter-coding transform. More specifically, the inter-coding transform may reduce a dimensionality of the combined tensor so that the resulting vector is smaller or more compressible than the original tensor of latent attributes.

A memory device having a plurality of groups of words is provided. Each group of the plurality of groups of words are stored in a contiguous section of a memory and each group of the plurality of groups of words includes a plurality of words. The plurality of words each have a plurality of elements with a same set of index values for a first dimension of a tensor and a same set of index vales for a second dimension of a tensor. The plurality of words have a different index value for a third dimension of the tensor.

A method for performing a reconstructed temperature stable profile sensing scheme is provided. The method comprises: based on driving a first subset of a plurality of electrodes, obtaining first resulting signals from a second subset of the plurality of electrodes; based on driving both the first subset and the second subset of the plurality of electrodes, obtaining second resulting signals from the second subset of the plurality of electrodes; determining a reconstructed temperature stable profile based on a mutual capacitance sensing profile associated with the first resulting signals, an absolute capacitance sensing (ABS) profile associated with the second resulting signals, and a reconstructed temperature stable parameter; and performing object detection based on the reconstructed temperature stable profile.