Abstract: A time control apparatus provided in a slave machine and synchronizing time information with time information of a master machine connected over a network includes: calculation units respectively calculating time difference candidates of the slave machine with respect to the master machine and network delays indicative of an average of times necessary for communication of first and second messages over the network based on transmission and reception times of the first messages which are transmitted from the master machine and received using the slave machine and transmission and reception times of the second messages which are transmitted from the slave machine and received using the master machine; a selection unit selecting one of the calculated time difference candidates as a time difference based on the calculated network delays; and an adjustment unit adjusting the time information of the slave machine based on the selected time difference.

Abstract: The present disclosure relates to a time control device, a time control method, and a program that can synchronize time information with a master device in a network with high precision.

Abstract: The present disclosure relates to a frequency difference detection device that can synchronize oscillation frequency with a master device in a network with high precision, and also relates to a frequency difference detection method and a program. A frequency difference detection device, as one aspect of the present disclosure is a frequency difference detection device that detects a difference in oscillation frequency between a master device and a slave device connected to each other via a network.

Abstract: The present disclosure relates to a time control device, a time control method, and a program that can synchronize time information with a master device in a network with high precision.

Abstract: A communication apparatus includes a data processing unit and a communication unit. The data processing unit performs a clock synchronous process between the communication apparatus and a communication correspondent apparatus. The communication unit performs communication with the communication correspondent apparatus. The data processing unit compares, when the clock synchronous process is performed, an offset window that defines a permissible delay time range of a packet applied to the synchronous process and a network delay time of the synchronous packet, selects the synchronous packet having the network delay time within the offset window, and applies phase offset information calculated from the synchronous packet, to perform phase control, and decreases a width of a current offset window when the network delay time of the synchronous packet is within the current offset window and increases the current offset window width when the network delay time is outside of the current offset window.

Abstract: A signal processing device controls a plurality of signal processing units that process an input signal inputted via a signal line with wide bandwidth, via a control line with narrow bandwidth or the signal line, and includes: a storing unit configured to store correspondence information that associates instruction information indicating an instruction of control with respect to each of the signal processing units, with control information related to all of the plurality of signal processing units, among pieces of control information necessary for each of the signal processing units to execute content of control; and a transmitting unit configured to transmit the control information associated with the instruction information by the correspondence information, to the plurality of signal processing units via the signal line, when control is instructed with respect to the plurality of signal processing units.

Abstract: An image processing apparatus detecting a noise area in image data generated by decoding encoded data encoded by a frequency transform method and a lossy compression method. The image processing apparatus includes a motion detection unit for detecting motion in an area having at least one pixel in the image data, a deviation detection unit for detecting the deviation of the image motion in the area having at least one pixel, and a noise detection unit for detecting the noise area in accordance with the deviation of the image motion.

Abstract: A signal processing device controls a plurality of signal processing units that process an input signal inputted via a signal line with wide bandwidth, via a control line with narrow bandwidth or the signal line, and includes: a storing unit configured to store correspondence information that associates instruction information indicating an instruction of control with respect to each of the signal processing units, with control information related to all of the plurality of signal processing units, among pieces of control information necessary for each of the signal processing units to execute content of control; and a transmitting unit configured to transmit the control information associated with the instruction information by the correspondence information, to the plurality of signal processing units via the signal line, when control is instructed with respect to the plurality of signal processing units.

Abstract: JPEG encoded data are entropy-decoded to quantized DCT coefficients which are sent to a prediction tap extraction circuit (41) and to a class tap extraction circuit (42). The prediction tap extraction circuit (41) and the class tap extraction circuit (42) extract what is needed from the quantized DCT coefficients to form prediction taps and class taps. A classification circuit (43) effects classification based on the class taps. A coefficient table storage unit (44) sends tap coefficients corresponding to the classes resulting from the classification to a sum of products circuit (45), which sum of products circuit (45) then effects linear predictive calculations, using the tap coefficients and the class taps, to generate decoded picture data.

Abstract: JPEG encoded data are entropy-decoded to quantized DCT coefficients which are sent to a prediction tap extraction circuit (41) and to a class tap extraction circuit (42). The prediction tap extraction circuit (41) and the class tap extraction circuit (42) extract what is needed from the quantized DCT coefficients to form prediction taps and class taps. A classification circuit (43) effects classification based on the class taps. A coefficient table storage unit (44) sends tap coefficients corresponding to the classes resulting from the classification to a sum of products circuit (45), which sum of products circuit (45) then effects linear predictive calculations, using the tap coefficients and the class taps, to generate decoded picture data.

Abstract: JPEG encoded data are entropy-decoded to quantized DCT coefficients which are sent to a prediction tap extraction circuit (41) and to a class tap extraction circuit (42). The prediction tap extraction circuit (41) and the class tap extraction circuit (42) extract what is needed from the quantized DCT coefficients to form prediction taps and class taps. A classification circuit (43) effects classification based on the class taps. A coefficient table storage unit (44) sends tap coefficients corresponding to the classes resulting from the classification to a sum of products circuit (45), which sum of products circuit (45) then effects linear predictive calculations, using the tap coefficients and the class taps, to generate decoded picture data.

Abstract: JPEG encoded data are entropy-decoded to quantized DCT coefficients which are sent to a prediction tap extraction circuit (41) and to a class tap extraction circuit (42). The prediction tap extraction circuit (41) and the class tap extraction circuit (42) extract what is needed from the quantized DCT coefficients to form prediction taps and class taps. A classification circuit (43) effects classification based on the class taps. A coefficient table storage unit (44) sends tap coefficients corresponding to the classes resulting from the classification to a sum of products circuit (45), which sum of products circuit (45) then effects linear predictive calculations, using the tap coefficients and the class taps, to generate decoded picture data.

Abstract: JPEG encoded data are entropy-decoded to quantized DCT coefficients which are sent to a prediction tap extraction circuit (41) and to a class tap extraction circuit (42). The prediction tap extraction circuit (41) and the class tap extraction circuit (42) extract what is needed from the quantized DCT coefficients to form prediction taps and class taps. A classification circuit (43) effects classification based on the class taps. A coefficient table storage unit (44) sends tap coefficients corresponding to the classes resulting from the classification to a sum of products circuit (45), which sum of products circuit (45) then effects linear predictive calculations, using the tap coefficients and the class taps, to generate decoded picture data.

Abstract: JPEG encoded data are entropy-decoded to quantized DCT coefficients which are sent to a prediction tap extraction circuit (41) and to a class tap extraction circuit (42). The prediction tap extraction circuit (41) and the class tap extraction circuit (42) extract what is needed from the quantized DCT coefficients to form prediction taps and class taps. A classification circuit (43) effects classification based on the class taps. A coefficient table storage unit (44) sends tap coefficients corresponding to the classes resulting from the classification to a sum of products circuit (45), which sum of products circuit (45) then effects linear predictive calculations, using the tap coefficients and the class taps, to generate decoded picture data.

Abstract: JPEG encoded data are entropy-decoded to quantized DCT coefficients which are sent to a prediction tap extraction circuit (41) and to a class tap extraction circuit (42). The prediction tap extraction circuit (41) and the class tap extraction circuit (42) extract what is needed from the quantized DCT coefficients to form prediction taps and class taps. A classification circuit (43) effects classification based on the class taps. A coefficient table storage unit (44) sends tap coefficients corresponding to the classes resulting from the classification to a sum of products circuit (45), which sum of products circuit (45) then effects linear predictive calculations, using the tap coefficients and the class taps, to generate decoded picture data.

Abstract: JPEG encoded data are entropy-decoded to quantized DCT coefficients which are sent to a prediction tap extraction circuit (41) and to a class tap extraction circuit (42). The prediction tap extraction circuit (41) and the class tap extraction circuit (42) extract what is needed from the quantized DCT coefficients to form prediction taps and class taps. A classification circuit (43) effects classification based on the class taps. A coefficient table storage unit (44) sends tap coefficients corresponding to the classes resulting from the classification to a sum of products circuit (45), which sum of products circuit (45) then effects linear predictive calculations, using the tap coefficients and the class taps, to generate decoded picture data.

Abstract: JPEG encoded data are entropy-decoded to quantized DCT coefficients which are sent to a prediction tap extraction circuit (41) and to a class tap extraction circuit (42). The prediction tap extraction circuit (41) and the class tap extraction circuit (42) extract what is needed from the quantized DCT coefficients to form prediction taps and class taps. A classification circuit (43) effects classification based on the class taps. A coefficient table storage unit (44) sends tap coefficients corresponding to the classes resulting from the classification to a sum of products circuit (45), which sum of products circuit (45) then effects linear predictive calculations, using the tap coefficients and the class taps, to generate decoded picture data.

Abstract: An image processing apparatus detects a noise area in image data generated by decoding encoded data encoded by a frequency transform method and a lossy compression method. The image processing apparatus includes a motion detection unit for detecting motion in an area having at least one pixel in the image data, a deviation detection unit for detecting the deviation of the image motion in the area having at least one pixel, and a noise detection unit for detecting the noise area in accordance with the deviation of the image motion.

Abstract: An image processing apparatus detects a noise area in image data generated by decoding encoded data encoded by a frequency transform method and a lossy compression method. The image processing apparatus includes a motion detection unit for detecting motion in an area having at least one pixel in the image data, a deviation detection unit for detecting the deviation of the image motion in the area having at least one pixel, and a noise detection unit for detecting the noise area in accordance with the deviation of the image motion.

Abstract: An input picture signal having noise added through a transmission path or the like is supplied. Noise is removed from the input picture by a class categorizing adaptive process in which predictive coefficients are pre-learnt and decided for each class. A class corresponding to a noise component contained in the input picture is decided. Predictive coefficients of the class and the values of pixels of frames containing a considered pixel of the input picture signal are linearly combined. Thus, predictive pixel values are generated, which are free of noise. When motion of a considered pixel is detected and pixels that are used to decide a class and pixels that are used for a predictive calculation are compensated corresponding to the motion, noise accurately corresponding to a noise component can be removed from the input picture signal.