Abstract: A method, computer program, and computer system is provided for coding a video sequence. Video data comprising one or more luma samples is received. A YUV format associated with the received video data is determined. A height setting value and a width setting value corresponding to the one or more luma samples are restricted based on the determined YUV format. The YUV format may include a YUV4:4:4 format, a YUV4:2:2 format, a YUV4:2:0 format, and a YUV4:0:0 format.

Abstract: An active sequential xampling receiver for spectrum sensing is disclosed. The receiver includes a dynamically adjustable analog front end to perform sub-Nyquist energy sensing across a broad radio frequency (RF) spectrum. In an exemplary aspect, the receiver includes a dynamic modulator which modulates the broad RF spectrum to dynamically select sub-bands (e.g., RF channels) and fold their spectral content into a narrower baseband signal for energy detection. A controller adjusts the dynamic modulator to maximize utility of the spectrum detection based on past energy observations.

Abstract: The present disclosure describes a system and method for multi-layered image and video delivery using reference processing signal. A multi-layered encoder and a multi-layered decoder, both comprising at least one enhancement layer processor that uses reference processing and a base layer processor are provided. A multi-layered encoder and a multi-layered decoder that use reference processing and are capable of frame-compatible 3D video delivery are also described.

Abstract: The disclosure relates to a radio receiver module for receiving a signal having a lower side band and an upper side band, the module comprising: a noise detector configured to identify a noise frequency associated with an unwanted noise signal within the lower or upper side band; a filter configured to attenuate the noise frequency and increase gain at a mirror frequency within the signal in order to provide a filtered signal, wherein the mirror frequency is within the sideband that is unaffected by the unwanted noise signal and the mirror frequency corresponds to the noise frequency.

Abstract: A data handling system includes a compressive sensing unit that receives a source date file. A sparseness module compressive sensing unit generates a sparse source data file by inducing sparseness into the source data file. A measurement module within the compressive sensing unit generates a compressed sensed source data file from the sparse source data file and based on a sensing matrix. The compressed sensed source data file is to be transmitted to a remote data storage facility for storage. A recovery unit generates the source data file from the compressed sensed source data file retrieved from the remote data storage facility and based upon the sensing matrix.

Abstract: An image is picked up through sampling in a predetermined sampling pattern to acquire an image signal representing the image. Sampling information, which concerns the predetermined sampling pattern, is appended to the image signal, which has been acquired. The sampling information is information for discriminating checkered sampling and square sampling from each other. Different sharpness enhancement processing is performed on the image signal and in accordance with the sampling information to obtain a processed image signal. The different sharpness enhancement processing may be a processing in accordance with frequency characteristics of the image signal, which has been acquired, due to the sampling pattern.

Abstract: An image is picked up through sampling in a predetermined sampling pattern to acquire an image signal representing the image. Sampling information, which concerns the predetermined sampling pattern, is appended to the image signal, which has been acquired. The sampling information is information for discriminating checkered sampling and square sampling from each other. Different sharpness enhancement processing is performed on the image signal and in accordance with the sampling information to obtain a processed image signal. The different sharpness enhancement processing may be a processing in accordance with frequency characteristics of the image signal, which has been acquired, due to the sampling pattern.

Abstract: It is possible to control the number of generated codes while retraining deterioration of an image quality by an encoding circuit constituted so as to select any of a first image signal not decreasing information quantity and a second image signal decreasing information quantity in accordance with the accumulated value of the number of codes.

Abstract: An image is picked up through sampling in a predetermined sampling pattern to acquire an image signal representing the image. Sampling information, which concerns the predetermined sampling pattern, is appended to the image signal, which has been acquired. The sampling information is information for discriminating checkered sampling and square sampling from each other. Different sharpness enhancement processing is performed on the image signal and in accordance with the sampling information to obtain a processed image signal. The different sharpness enhancement processing may be a processing in accordance with frequency characteristics of the image signal, which has been acquired, due to the sampling pattern.

Abstract: A high frequency compensator configured to compensate high frequency component of a digital audio signal comprising a down sampler configured to perform ½ down-sampling for the digital audio signal. An up sampler is configured to perform double up-sampling for an output signal of the down-sampler. A digital low-pass filter is configured to filter an output signal of the up sampler, and to output the filtered digital audio signal.

Abstract: In digital video, 3:4 down conversion and 4:3 down conversion are transparently cascaded. The up conversion filter is: Sup(n)=&Sgr;Sinput(k).g(3n−4k) and the down conversion filter is: Sdown(n)=&Sgr;Sup(k).h(4n−3k). The pair of up and down conversion filters are designed so that &Sgr;h(4n−3k).g(3k−4m) is equal to unity if n=m and is otherwise equal to zero.