Abstract:
An ultra low power super-regenerative receiver is provided. The ultra low power super-regenerative receiver includes a bit synchronizer configured to use a value sampled from a signal output from a super-regenerative oscillator to estimate a pulse-level position having a maximum amplitude value in a single period of a received symbol, a frame synchronizer configured to combine a plurality of pulse-level positions determined based on the estimated pulse-level position, and detect a predetermined bit sequence using the plurality of pulse-level positions combined, the frame synchronizer being configured to perform frame synchronization, and a data detector configured to detect data using the plurality of pulse-level positions determined after the frame synchronization is completed.
Abstract:
A method of detecting a received signal, includes determining correlation between a received signal in a predetermined signal interval and training symbols, and determining a median absolute deviation (MAD) of the received signal in a predetermined reference interval. The method further includes detecting a presence of the received signal based on the correlation and the MAD.
Abstract:
An apparatus for non-invasively estimating bio-information may include a bio-signal acquirer configured to acquire a bio-signal; and a processor configured to extract a plurality of characteristic points from the bio-signal, determine internally dividing points of the plurality of characteristic points, and extract feature values from the bio-signal based on the internally dividing points to perform bio-information estimation. The plurality of characteristic points may include a first time point and a second time point when the pulse wave signal includes a first component pulse wave that has a maximum amplitude at the first time point, and a second component pulse wave that has a maximum amplitude at the second time point.
Abstract:
A blood pressure estimating apparatus includes a sensor configured to obtain a bio-signal of an object; and a processor configured to extract a first cardiovascular feature and a second cardiovascular feature based on the bio-signal, and estimate blood pressure based on a first changing tendency of the first cardiovascular feature from a first reference level and a second changing tendency of the second cardiovascular feature from a second reference level, the first changing tendency and the second changing tendency being independent from each other.
Abstract:
A method of a transmitter transmitting a packet encoded by applying a coding scheme based on a wireless channel environment to a receiver, and a method of the receiver detecting the coding scheme applied to the encoded packet and decoding the packet, in which the transmitter applies a spreading factor corresponding to the coding scheme to a preamble of the packet, and the receiver decodes the packet by detecting the coding scheme using the preamble.
Abstract:
An apparatus for calibrating a bio-information estimation model is provided. The apparatus for calibrating a bio-information estimation model includes: a data obtainer configured to obtain at least one pulse wave signal; and a processor configured to extract a plurality of feature sets, each feature set including one or more features, from each of the at least one pulse wave signal, and configured to calibrate a bio-information estimation model based on a correlation distribution of the extracted plurality of feature sets.
Abstract:
An apparatus for non-invasively estimating blood pressure is provided. According to one embodiment, the apparatus for estimating blood pressure may include a bio-signal sensor configured to measure a bio-signal from a user and a processor configured to extract a feature from the bio-signal at an extraction time, acquire an offset based on a relative change value of the feature extracted at the extraction time, relative to a reference value of the feature obtained a time of calibration, and estimate blood pressure based on the relative change value of the extracted feature and the acquired offset.
Abstract:
An adaptive bio-signal feature combining apparatus includes: a feature extractor configured to extract first feature values and second feature values from a bio-signal of an object; a stable interval determiner configured to determine at least one stable interval in the bio-signal; a statistical variable calculator configured to calculate a statistical variable value of a first feature and a statistical variable value of a second feature for each of the at least one stable interval based on the first and second feature values extracted from the at least one stable interval; and a feature combiner configured to calculate an integrated combining coefficient that is used to combine the first feature and the second feature, based on the statistical variable value of the first feature and the statistical variable value of the second feature.
Abstract:
An apparatus for estimating bio-information includes: a sensor configured to obtain a bio-signal from an object; and a processor configured to obtain a second-order differential signal of the bio-signal, to detect at least one of an inflection point in a predetermined period of the second-order differential signal, and a zero-crossing point in the predetermined period of the second-order differential signal, to extract a feature based on the detected at least one of the inflection point and the zero-crossing point, and to estimate bio-information based on the extracted feature.
Abstract:
A method to detect a packet includes: receiving an input sequence including preambles; detecting a transition from a noise period to a signal period in the input sequence; dynamically adjusting a gain of the input sequence in response to the signal period being initiated; and distinguishing an intended packet from other packets, among packets received in the preambles.