Kabushiki Kaisha Toshiba

Toshiba Infrastructure Systems & Solutions Corporation

Tenta Sasaya

Takashi Watanabe

Toshiyuki Ono

Takashi Ida

Wataru Watanabe

Takayuki Itoh

This signal processing device includes one or more processors. The processors receive, as an input, an input signal that is a third signal obtained by superposing a second signal on a first signal or a fourth signal obtained by converting the third signal, and estimate a feature of the first signal on the basis of the input signal. The processors execute inference on the basis of the feature and outputs an inference result.

Device, method, and computer program product for executing inference using input signal

According to an embodiment, a first signal processing apparatus includes one or more hardware processors configured to function as a signal processing unit, a first signal adjustment unit, and an update unit. The signal processing unit is configured to perform first signal processing on an input signal in which a second signal is superimposed on a first signal using at least one parameter and to output a first restoration signal obtained by restoring the first signal. The first signal adjustment unit is configured to multiply at least one of the first signal and the first restoration signal by a weighting coefficient and to output a corrected first signal and a corrected first restoration signal. The update unit is configured to update the at least one parameter using an error between the corrected first signal and the corrected first restoration signal.

Signal processing apparatus, signal processing system, signal processing method, and computer program product

According to one embodiment, an anomaly detection apparatus includes a processing circuit configured to calculate a reconstruction error of an input signal being a time-series signal, calculate cycle information indicating cyclic property of the reconstruction error, and determine presence/absence of an anomaly signal in the input signal on the basis of the cycle information or the cycle information and the reconstruction error.

Anomaly detection apparatus, method, and program

A signal processing apparatus includes one or more processors. The one or more processors perform first-type signal processing on an input signal using a neural network, and output a first-type output signal. The one or more processors convert the first-type output signal into a second-type output signal for calculating a first-type loss related to accuracy of second-type signal processing performed by another signal processing device The one or more processors calculate the first-type loss based on the second-type output signal and a correct signal. The one or more processors optimize parameters of the neural network based on the first-type loss.

Signal processing device, signal processing method, and computer program product

According to an embodiment, a processing apparatus includes a hardware processor. The hardware processor is configured to: cut out, from an input signal, a plurality of partial signals that are predetermined parts in the input signal; execute processing on the plurality of partial signals using neural networks having the same layer structure with each other to generate a plurality of intermediate signals including a plurality of signals corresponding to a plurality of channels; execute predetermined statistical processing on signals for each of the plurality of channels for each of the plurality of intermediate signals corresponding to the plurality of partial signals, to calculate statistics for each channel and generate a concatenated signal by concatenating the statistics of the plurality of respective intermediate signals for each channel; generate a synthetic signal by performing predetermined processing on the concatenated signal; and output an output signal in accordance with the synthetic signal.

Growing community of inventors

Ota, Japan

Tenta Sasaya