149 results about "Equaliser" patented technology

A method of and apparatus for optical signal dispersion compensation uses tunable optical (ODC) and electronic (EDC) dispersion compensation. The ODC provides significant first-order dispersion compensation, but leaves significant high-order dispersion and transmissivity ripple effects. The EDC is used to provide compensation for the high-order dispersion and transmissivity ripple from the ODC.

An improved method and arrangement for altering musical dynamics of a sound S included in a sound signal is disclosed. The altering of the musical dynamics is performed by filtering and amplification of the sound signal. The filtering is performed by the use of a parametric equalizer, the parametric equalizer having a first gain G₁ and a resonance frequency f, being related to a pitch frequency f_p of said sound S. The amplification is performed by an amplifier amplifying the sound signal with a second gain G₂, the second gain G₂ being dependent on the first gain G₁.

Constrained tap weights of a decision feedback equalizer are determined according to the channel impulse response of a channel and a constraint function. The constraint function is differentiable and is an approximation of a non-differentiable tap weight constraint function. The tap weight constraint function may have a constraint value M that is a function of a mean squared error of the estimated mean squared error at the output of the decision feedback equalizer.

Equaliser (4) or phase plug, for electro-acoustic transducers (1), having at least a central hole (40), and or a first series of openings (41), or slots, in the from of concentric rings, coaxial to an axis (4a) of symmetry of the phase plug (4). Said phase plug is characterised in that it has at least a second series of radial slots (42) positioned externally to said hole (40) or to said first series of slots (41). In the phase plug (4) has a third series of radial slots (43) interposed between said first and second series (41;42).

A vector decoder for detecting symbols transmitted along a communication channel is disclosed, as is a method for decoding symbols. The decoder includes at least two pairs of decision feedback equalizers and noise predictors operating on a plurality M of vectors of symbols being detected, a path storage unit, a metric determiner a sorter and a path builder. The vectors are ordered in accordance with quality levels and each noise predictor estimates the noise associated with its associated vector. The path storage unit stores M of the ordered vectors, each vector being of length L. The metric determiner is connected to the output of all of the decision feedback equalizers and the noise predictors and produces a performance metric for each of Q branches extending from each vector. Each branch is associated with one of Q possible symbol values. The sorter is connected to the output of the metric determiner and sorts data, formed of a) the symbol values and b) the vectors which they extend, in accordance with their performance metrics. The sorter also orders, from the M*Q performance metrics, the data having the M best performance metrics. The path builder is connected to the output of the sorter and associates the ordered data with the appropriate ones of the previously stored ordered vectors.

The invention discloses a clock recovery and adaptive equalizer combination device and method in coherent light communication, relates to the technical field of coherent light communication, and adopts a new equalizer structure and algorithm to realize clock recovery and adaptive equalization at the same time. Specifically, a two-stage real number equalization structure and a second-stage adaptivecoefficient are adopted to calculate a timing error so as to realize clock recovery, polarization demultiplexing and dispersion compensation. According to the structure, an independent clock recoverymodule is omitted, compared with a traditional structure, the calculation complexity is reduced, the clock recovery accuracy is improved, and the tolerance to IQ data imbalance of a receiving end isimproved. The two-stage equalization of the structure adopts real number equalization, so that the IQ two paths of data are not combined together any more in the equalization process, and the problemthat the system performance is greatly influenced under the condition that IQ has time delay can be effectively solved.

The invention provides a self-adaptive equalization method, a device and an equalizer, which relate to the field of communication. The self-adaptive equalization method comprises steps: frame positioning information about polarization state data outputted by the equalizer and a tap coefficient updated after blind equalization processing are acquired; according to the frame positioning information and performance information of the equalizer, a current operating state of the equalizer is determined; according to the current operating state of the equalizer and the tap coefficient updated after blind equalization processing, the tap coefficient or a leakage factor in blind equalization processing are correspondingly adjusted; and according to the adjusted tap coefficient or the leakage factor, self-adaptive convergence is carried out until the equalizer operates stably in a stable state. The solution of the disclosure solves the problem in an existing technical solution that the efficient and stable operation of a self-adaptive equalizer cannot be realized during a convergence process.

A method for selecting which tap coefficients of a programmable finite-impulse-response (FIR) equalizer to fix is disclosed. In one embodiment, such a method includes performing an initial calibration to determine an initial value for each tap coefficient of a FIR equalizer. These initial values may be used to produce a first waveform. The method then performs an operation on the first waveform to produce a second waveform comprising multiple lobes. The second waveform is then analyzed to determine one or more lobes of the second waveform that have the largest area. The method then fixes coefficients of one or more taps that are closest to the lobe or lobes having the largest area. A corresponding apparatus and computer program product are also disclosed.

In one embodiment, an apparatus has an equalizer, a tap position locator, and a tap weight updater. The equalizer has a plurality of floating taps. The tap position locator generates metrics for a set of possible tap positions of the equalizer. Each possible tap position corresponds to a different tap weight, and the metrics are generated without updating the tap weights for all of the possible tap positions in the set. Further, the tap position locator selects a subset of possible tap positions from the set based on the metrics. The tap weight updater updates a subset of the tap weights corresponding to the selected subset of possible tap positions, and applies the updated subset of tap weights to the plurality of floating taps.

The invention relates to the technical field of automatic control, and provides a motor excitation signal processing method and device. The method comprises the steps: carrying out the displacement prediction according to an original excitation signal outputted to a motor, and obtaining the original displacement signal of the motor; obtaining the maximum displacement threshold of the motor, and calculating an equalization displacement signal according to the maximum displacement threshold and the original displacement signal; and processing the equalization displacement signal through a second-order equalizer to obtain an equalization excitation signal for driving motor. The displacement of the motor can be within the maximum displacement threshold, and the problems of motor part damage and touch effect reduction caused by overlarge displacement of the motor are solved.

An optical medium reproduction apparatus for optically reproducing an optical medium where a plurality of tracks are formed, including: a detection unit for splitting a cross section of a beam returned from the optical medium into a plurality of regions and for forming respective detection signals of a plurality of the regions; a multiple input adaptive equalizer having a plurality of adaptive equalizer units, wherein the respective detection signals of a plurality of the regions are inputted into the plurality of adaptive equalizer units, and the outputs of the plurality of adaptive equalizer units are computed to from equalization signals; a binarization unit for binarizing the equalization signals to provide binary data; and an equalization error computing unit for determining an equalization error from equalization target signals provided based on the binary data from the binarization unit and the equalization signals outputted from the multiple input adaptive equalizer, and providing the adaptive equalizer units with the equalization error as control signals for adaptive equalization.

The invention discloses a complex channel equalizer design method based on a complex value forward neural network, and relates to the field of artificial intelligence and communication. The complex channel equalizer design method based on the complex value forward neural network comprises the steps: employing a selectable search direction training method to train the complex value forward neural network, and enabling a target function value to be reduced as much as possible after each time of training, wherein the trained complex value forward neural network serves as a channel equalizer and is used in a digital communication system. The complex channel equalizer design method based on the complex value forward neural network has the beneficial effects that in the training process, a groupof direction factors are introduced to construct a plurality of search directions, the optimal training direction is selected from the search directions by adopting a breadth-first search strategy, and the optimal search direction is selected from the search directions. The high-efficiency training of the complex number forward neural network is completed, so that the design of the complex channel equalizer is realized, and excellent performance is obtained.

The embodiment of the invention discloses an earphone equalizer adjusting method and device, a server and a medium. The method comprises the steps of obtaining current user portrait data of a currentuser; inputting the current user portrait data into a pre-trained target music preference prediction model to obtain a music preference evaluation value of at least one music type; and obtaining a target equalizer parameter according to the music preference evaluation value of the music type, so that the earphone adjusts the equalizer parameter of the earphone based on the target equalizer parameter. According to the technical scheme of the embodiment of the invention, personalized customization of the earphone equalizer parameters for the user is realized, so that the user experience is improved.

The present invention provides a variable gain amplifier and a continuous time linear equalizer, the variable gain amplifier comprising: a gain control voltage generation circuit for generating a gaincontrol voltage according to a differential input reference voltage; and the signal pat connected to the gain control voltage generation circuit an used for controlling the voltage gain of the signalpath according to the gain control voltage and realizing differential amplification on the differential input signal according to the voltage gain to generate a differential output signal. Accordingto the variable gain amplifier, the problem that the voltage gain of an existing variable gain amplifier is easily subjected to power supply voltage, chip temperature and CMOS is solved.

The invention provides a method for determining a training sequence and related equipment. The method provided by the embodiment of the invention comprises the following steps: the ONU receives a first message sent by the OLT; and then, the ONU determines a target training sequence according to the first message, and the target training sequence is used for determining working parameters of an equalizer in the OLT. Further, the ONU generates a first data frame including the target training sequence. In the application, the OLT can perform training according to the received target training sequence to determine the working parameters of the equalizer in the OLT, thereby compensating channel damage through the equalizer, effectively eliminating ISI, and improving the performance of the OLT.