Abstract: A method of increasing the sample rate of a digital signal by creating intermediate sample points between adjacent neighbouring sample points comprising the step of populating each of the intermediate sample points depending on a weighted influence of a predetermined number of the neighbouring sample points, the weighted influence being calculated by representing the digital signal or filter at the predetermined number of sample points at least in part by its cosine components, which are each represented by absolute values of a cosine function in the time domain substantially limited to half a waveform cycle at its mid-point; combining the aforementioned cosine components at each of the neighbouring sample points to obtain waveforms at each of the neighboring sample points; determining values for each of the waveforms at the intermediate sample points and combining the determined values at the intermediate sample point to derive the weighted influence.

Abstract: Method of processing a digital image comprising increasing the sample resolution of the digital image from a predetermined resolution including neighboring sample points to an increased resolution including intermediate sample points between adjacent of the neighboring sample points, and populating each of the intermediate sample points depending on the influence of a predetermined number of the neighboring sample points, wherein the influence of the predetermined number of neighboring points are weighted substantially proportional to the proximity of the neighboring sample points relative to the respective intermediate sample points. Also a computer or device-readable medium and a computer system.

Abstract: A method of processing a digital signal includes providing a digital filter including neighbouring sample points and performing a sample rate increase on the digital filter to provide intermediate sample points between adjacent neighbouring sample points, said intermediate points being populated dependent on a weighted influence determined in the time domain of a predetermined number of the neighbouring sample points. The digital filter is applied to the signal where: i) one of the neighbouring sample points of the filter is applied to a corresponding sample point of the signal; ii) offset and neighbouring sample points of the signal are defined either side of the corresponding sample point, said offset points being offset in the time domain relative to the respective neighbouring sample points of the filter; and iii) the neighbouring sample points of the filter are applied to respective of the offset and neighbouring sample points of the signal.

Abstract: Method of processing a digital image comprising increasing the sample resolution of the digital image from a predetermined resolution including neighbouring sample points to an increased resolution including intermediate sample points between adjacent of the neighbouring sample points, and populating each of the intermediate sample points depending on the influence of a predetermined number of the neighbouring sample points, wherein the influence of the predetermined number of neighbouring points are weighted substantially proportional to the proximity of the neighbouring sample points relative to the respective intermediate sample points. Also a computer or device-readable medium and a computer system.

Abstract: A method of increasing the sample rate of a digital signal by creating intermediate sample points between adjacent neighbouring sample points comprising the step of populating each of the intermediate sample points depending on a weighted influence of a predetermined number of the neighbouring sample points, the weighted influence being calculated by representing the digital signal or filter at the predetermined number of sample points at least in part by its cosine components, which are each represented by absolute values of a cosine function in the time domain substantially limited to half a waveform cycle at its mid-point; combining the aforementioned cosine components at each of the neighbouring sample points to obtain waveforms at each of the neighboring sample points; determining values for each of the waveforms at the intermediate sample points and combining the determined values at the intermediate sample point to derive the weighted influence.