Koninklijke Philips Corporation N.v.

U.S. Philips Corporation

Augustus Josephus Elizabeth Maria Janssen

Ronaldus Maria Aarts

Peter Dirksen

Theodorus Jacobus Johannes Denteneer

Derk Reefman

Robert J Sluijter

Paulus Henricus Antonius Dillen, I

Fransiscus Marinus Jozephus De Bont

Casparus Anthonius Henricus Juffermans

William Jacques Jean Rey

Peter Maria Van De Ven

Johannes Simeon Hendrikus Van Leeuwaarden

The present invention relates to a method for granting medium access to a node in a wireless network, the network comprising at least two nodes, and the method comprising the step of determining, for one of the at least two nodes, a medium access rate to be used, a medium access rate determining how often a node transmits data throughout the network, wherein the rate is determined as being different from one node to another and dependent on the number of neighbors of a node. The invention also relates to a wireless radio network comprising at least two nodes, wherein a medium access rate to be used by a node is determined as being different from one node to another and dependent on the number of neighbors of a node, a medium access rate determining how often a node transmits data throughout the network.

Method for granting medium access in a wireless network and network therefor

For determining aberrations of an optical imaging system (PL), a test object () comprising at least one delta test feature () is imaged either on an aerial scanning detector () or in a resist layer (), which layer is scanned by a scanning device, for example a SEM. A new analytical method is used to retrieve from the data stream generated by the aerial detector or the scanning device different Zernike coefficients (Zn).

Method of and system for determining the aberration of an imaging system test object and detector for use with the method

An audio signal processing device includes a signal supply for supplying coded audio signal over more than one input channel and, per input channel, over separate frequency sub-bands domain sub-channels. Further filters are used to decode and synthesize the audio signals over the total frequency domain. Sub-band combination circuits are used for supplying respective input channels to the same sub-band combination circuit the signals from the same sub-band frequency domain audio signals.

Multichannel audio signal processing device

An analyzer determines frequency and amplitudes of an audio signal represented by sinusoids for transmission transmitted to a receiver decoder which includes a synthesizer to reconstruct the audio signal. A pitch detector determines the pitch for transmission to the receiver along with the structure of the spectrum of the speech signal. The structure of the spectrum is often transmitted in the form of LPC parameters. To correct for frequency changes of the periodic component of an audio signal, a frequency change determiner determines a change of the frequency of the periodical component over the analysis period. This change of frequency is transmitted to the decoder for increasing the accuracy of the reconstruction of the audio signal. Further, the frequency change is only used to obtain a more accurate value of the pitch. The frequency change is determined by using a time warper which performs a time transformation such that a time transformed audio signal is obtained with a minimum frequency change.

Transmission system for transmitting an audio signal

In determining an intrinsic spectrum from a measured spectrum using the Maximum Entropy Algorithm, it is hardly or even not at all practical to determine the eigenvalues of an N&times;N matrix of large dimensions (N of the order of from 10 to 10 ). According to the invention such a large matrix is subdivided into a large number of much smaller partial matrices that are located on the diagonal or trace of the large matrix. The set of eigenvalues to be determined then consists of all eigenvalues of the partial matrices which can be determined much faster. Because of the Toeplitz-like character of the partial matrices, their eigenvalues can be determined very fast by Fourier transformation of a single row of such a matrix. Using the set of eigenvalues thus obtained, the intrinsic spectrum is determined by means of a minimizing algorithm. The convergence rate of the minimizing algorithm can be highly enhanced by adding a random noise value to the variables of the minimizing process and by decreasing that noise value to zero in a number of iteration steps.

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Eindhoven, Netherlands

Augustus Josephus Elizabeth Maria Janssen