Abstract:
A portable memory device dimensioned and configured as any of a removable flash memory card, a USB flash drive, and a jump drive and a method of wireless communication, wherein the portable memory device comprises a single housing component; a data storage component within the single housing component; and a wireless receiver operatively connected to the data storage component and within the single housing component, wherein the wireless receiver is adapted to receive wireless signals comprising radio signals, satellite signals, TV signals, and Bluetooth™ specification signals, and wherein the wireless receiver is adapted to wirelessly communicate with a LAN. The portable memory device may further comprise an interface component adapted to connect to a host computing device. Preferably, the TV signals comprise mobile TV signals.
Abstract:
A radio frequency wide band amplifier having a noise that does not exceed a threshold value, and a linearity better than a threshold value. The radio frequency wide band amplifier architecture includes a first stage amplifier and a second stage amplifier. The second stage amplifier includes an input source resistor (Rin) that receives an input voltage signal, a feedback resistor (Rfb) directly connected to the input source resistor, a p-type metal-oxide-semiconductor (PMOS) transistor directly connected to the input source resistor. The PMOS transistor receives an output from the input source resistor. A n-type metal-oxide-semiconductor (NMOS) transistor directly connected to the input source resistor. The NMOS transistor receives an output from the input source resistor. A lumped output resistor (Rout) that receives an output from the feedback resistor, the PMOS transistor, and the NMOS transistor. A terminal of the lumped output impedance is connected to ground.
Abstract:
A continuous time-sigma delta (CT-SD) data converter comprising a loop filter includes a first integrator having a first loop filter coefficient and a second integrator operatively coupled to the first integrator, the second integrator having a second loop filter coefficient, a modulator coupled to the loop filter, a reset switch coupled to the second integrator, a first peak detector operatively coupled in series with the second integrator to indicate an instability condition of a signal level exceeding a first threshold at an output of the second integrator, a second peak detector adapted to detect an input signal level to the CT-SD data converter, and a digital engine coupled to the first peak detector.
Abstract:
A noise shaping and voltage gain filtering third order electrical circuit and method comprises at least one pair of input resistors; a Frequency Dependent Negative Resistance (FDNR) filter positioned in between the at least one pair of input resistors; a feedback resistor; and an amplifier operatively connected to the feedback resistor and the at least one pair of input resistors, wherein as an electrical signal is introduced to the electrical circuit, the FDNR filter is adapted to filter signal blockers out of the electrical signal prior to the electrical signal reaching the amplifier for signal amplification, wherein the FDNR filter does not contribute noise to a signal-to-noise ratio (SNR) of the electrical signal, and wherein a transfer function of the FDNR filter is substantially elliptical in shape.
Abstract:
A face detection method and apparatus using a level-set method. The method includes: laying a first initial shape model over a face image; evolving shape curves of the first initial shape model using the level-set method; detecting first through M-th neighboring boundary points that neighbor first through M-th initial boundary points of the first initial shape model, and that neighbor the evolved shape curves, M being a positive integer larger than 1; laying a modified shape model rendered using the detected first through M-th neighboring boundary points over the face image; detecting a rotation angle of the modified shape model; determining whether the detected rotation angle of the modified shape model is within a predetermined angle range; and selecting one of a second initial shape model, which is rotated to the left, or a third initial shape model, which is rotated to the right, according to the detected rotation angle, and laying the selected initial shape model over the face image, and returning to the detecting of the first through M-th neighboring boundary points, when the detected rotation angle of the modified shape model is outside the predetermined angle range.
Abstract:
An image acquisition method includes determining the starting position, the ending position of a region of interest, and the value of overlap of the region of interest in the two adjacent sub-images, calculating the number of the sub-images required to be captured, the component of field of view at the direction of tube movement and the positions of the tube and the detector corresponding to each sub-image based on the starting position and the ending position of a region of interest and the value of the overlap. The method also includes moving the tube and the detector to each position and capturing the region of interest to obtain sub-images at the positions, and pasting the several sub-images together to form an image of the said region of interest.
Abstract:
A face detection method and apparatus using a level-set method. The method includes: laying a first initial shape model over a face image; evolving shape curves of the first initial shape model using the level-set method; detecting first through M-th neighboring boundary points that neighbor first through M-th initial boundary points of the first initial shape model, and that neighbor the evolved shape curves, M being a positive integer larger than 1; laying a modified shape model rendered using the detected first through M-th neighboring boundary points over the face image; detecting a rotation angle of the modified shape model; determining whether the detected rotation angle of the modified shape model is within a predetermined angle range; and selecting one of a second initial shape model, which is rotated to the left, or a third initial shape model, which is rotated to the right, according to the detected rotation angle, and laying the selected initial shape model over the face image, and returning to the detecting of the first through M-th neighboring boundary points, when the detected rotation angle of the modified shape model is outside the predetermined angle range.
Abstract:
A global localization apparatus, medium, and method, with the global localization method including selecting one from a plurality of samples and shifting the selected sample according to a movement of a robot, generating a new sample within a predetermined range of the shifted sample, determining either the shifted sample or the new sample as a next sample at a next time step according to a predetermined condition for the shifted sample and the next sample, repeating for all the samples, and estimating a next position of the robot according to positions of the next samples when the number of next samples is equal to or larger than the maximum number of samples.
Abstract:
A global localization apparatus, medium, and method, with the global localization method including selecting one from a plurality of samples and shifting the selected sample according to a movement of a robot, generating a new sample within a predetermined range of the shifted sample, determining either the shifted sample or the new sample as a next sample at a next time step according to a predetermined condition for the shifted sample and the next sample, repeating for all the samples, and estimating a next position of the robot according to positions of the next samples when the number of next samples is equal to or larger than the maximum number of samples.