Abstract: A method, an apparatus, a computer readable storage medium configured with instructions for carrying out a method, and logic encoded in one or more computer-readable tangible medium to carry out actions. The method is to decode audio data that includes N.n channels to M.m decoded audio channels, including unpacking metadata and unpacking and decoding frequency domain exponent and mantissa data; determining transform coefficients from the unpacked and decoded frequency domain exponent and mantissa data; inverse transforming the frequency domain data; and in the case M<N, downmixing according to downmixing data, the downmixing carried out efficiently.

Abstract: The application relates to a method for determining at least one updated filter coefficient of an adaptive filter (22) adapted by an LMS algorithm. According to the method, filter coefficients of a first whitening filter (25?) are determined, in particular filter coefficients of an LPC whitening filter. The first whitening filter (25?) generates a filtered signal. A normalization value is determined based on one or more computed values obtained in the course of determining the filter coefficients of the first whitening filter (25?). The normalization value is associated with the energy of the filtered signal. At least one updated filter coefficient of the adaptive filter (22) is determined in dependency on the filtered signal and the normalization value. Preferably, updated filter coefficients for all filter coefficients of the adaptive filter (22) are determined.

Abstract: A method, an apparatus, a computer readable storage medium configured with instructions for carrying out a method, and logic encoded in one or more computer-readable tangible medium to carry out actions. The method is to decode audio data that includes N.n channels to M.m decoded audio channels, including unpacking metadata and unpacking and decoding frequency domain exponent and mantissa data; determining transform coefficients from the unpacked and decoded frequency domain exponent and mantissa data; inverse transforming the frequency domain data; and in the case M<N, downmixing according to downmixing data, the downmixing carried out efficiently.

Abstract: A method, an apparatus, a computer readable storage medium configured with instructions for carrying out a method, and logic encoded in one or more computer-readable tangible medium to carry out actions. The method is to decode audio data that includes N.n channels to M.m decoded audio channels, including unpacking metadata and unpacking and decoding frequency domain exponent and mantissa data; determining transform coefficients from the unpacked and decoded frequency domain exponent and mantissa data; inverse transforming the frequency domain data; and in the case M<N, downmixing according to downmixing data, the downmixing carried out efficiently.

Abstract: A method, an apparatus, a computer readable storage medium configured with instructions for carrying out a method, and logic encoded in one or more computer-readable tangible medium to carry out actions. The method is to decode audio data that includes N.n channels to M.m decoded audio channels, including unpacking metadata and unpacking and decoding frequency domain exponent and mantissa data; determining transform coefficients from the unpacked and decoded frequency domain exponent and mantissa data; inverse transforming the frequency domain data; and in the case M<N, downmixing according to downmixing data, the downmixing carried out efficiently.

Abstract: The application relates to a method for determining at least one updated filter coefficient of an adaptive filter (22) adapted by an LMS algorithm. According to the method, filter coefficients of a first whitening filter (25?) are determined, in particular filter coefficients of an LPC whitening filter. The first whitening filter (25?) generates a filtered signal. A normalization value is determined based on one or more computed values obtained in the course of determining the filter coefficients of the first whitening filter (25?). The normalization value is associated with the energy of the filtered signal. At least one updated filter coefficient of the adaptive filter (22) is determined in dependency on the filtered signal and the normalization value. Preferably, updated filter coefficients for all filter coefficients of the adaptive filter (22) are determined.

Abstract: A method derives at least three audio signals, each associated with a direction, from two input audio signals. In response to the two input signals, a passive matrix generates a plurality of passive matrix audio signals, including two pairs of passive matrix audio signals, a first pair of passive amtrix audio signals represent directions lying on a first axis and a second pair of passive matrix audio signals represent direction lying on a second axis, the first and second aces being substantially at ninety degrees to ach other. The pairs of passive matrix audio signals are processed to derive a plurality of matrix coefficients therefrom, The processing includes deriving a pair of intermediate signals and urging each pair of intermediate signals toward equality in response to a respective error signal. At least three output signals are produced by matrix multiplying the two input signals by the matrix coefficients.

Abstract: A method derives at least three audio signals, each associated with a direction, from two input audio signals. In response to the two input signals, a passive matrix generates a plurality of passive matrix audio signals, including two pairs of passive matrix audio signals, a first pair of passive amtrix audio signals represent directions lying on a first axis and a second pair of passive matrix audio signals represent direction lying on a second axis, the first and second aces being substantially at ninety degrees to ach other. The pairs of passive matrix audio signals are processed to derive a plurality of matrix coefficients therefrom, The processing includes deriving a pair of intermediate signals and urging each pair of intermediate signals toward equality in response to a respective error signal. At least three output signals are produced by matrix multiplying the two input signals by the matrix coefficients.

Abstract: Basketball standard and adjustable support strut therefor, wherein backboard can be raised and lowered, as needed, to achieve the correct or chosen height of the backboard above a playing surface. The strut structure incorporated in or added to the basketball standard structure is self-adjusting and self-locking upon the user simply moving vertically the basketball backboard. The strut includes a pair of telescoping tubular members provided with an appropriately contoured side-aperture and a pin mechanism riding in such aperture such that the strut can be lengthened a maximum amount, thus lowering the backboard; subsequently, the backboard is raised a selected distance such that the pin mechanism engages a chosen detent recess. Camming surfaces are provided with the pin mechanism so as to facilitate appropriate pin movement. The strut construction can also be employed in other constructions as may be desired.

Abstract: A new distinctive cultivar of plum (Prunus domestica) named `Castleton` (formerly tested as NY 66.609.4) which is exceptional in combining (1) high quality, attractive dark purple fruit capable of achieving in mid-August sufficient color for commercial fresh markets, (2), a tree habit that has fewer lateral and secondary lateral branches than other competing commercial cultivars and which facilitates ease of harvesting, and (3) fruit quality and pit conformation traits coupled with consistent, high yield potential which favor it for commercial processing uses.

Abstract: A new distinct cultivar of sweet cherry (Prunus avium) which is exceptional in combining 1) ability to bear consistently large crops, 2) having wide pollenizer utility, and 3) having a uniquely spreading moderately drooping tree form. The cultivar is named `Hartland` and was tested as NY 3308.

Abstract: A new and distinct variety of sweet cherry tree which produces large and firm fruit having rich, strong cherry flavor, crisp flesh and which contain large stones of round to round-conic shape. The fruit has exceptionally high levels of soluble solids at ripeness. A seeding of `NY1725`, the tree is particularly characterized as being self-unfertile, late coming into production, but which bears dark, sweet fruit that is resistant to water stress induced cracking. This vigorous tree is of upright branching habit, forms a tall pyramidal figure, and shows resistance to bacterial canker.

Abstract: A new distinctive cultivar of sour cherry (Prunus cersus) which is exceptional in combining 1) high quality, totally red fruit, 2) a tree habit that has fewer lateral and secondary lateral branches than many other cultivars and which facilitates ease of hand harvesting, and 3) having a unique late season anthesis of its flowers so that they evade spring frost damage. The cultivar is named `Surefire` and was tested as NY 12716.

Abstract: A new distinctive cultivar of sweet cherry (Prunus avium) named `Somerset` (formerly tested as NY 6476) which is exceptional in combining 1) firm, highly attractive fruit that resist rain induced fruit cracking, 2) a tree habit that branches more profusely than many other cultivars and which facilitates precocious cropping, and 3) having a unique affinity of genetic compatibility with some hybrid cherry rootstock cultivars that cause genetic incompatibility and early decline in many other scion cultivars.