108 results about "Equaliser" patented technology

The invention discloses a high-concurrency real-time message pushing system and method based on an SSE protocol, and relates to the technical field of communication. Comprising the steps of 1, establishing a high-concurrency real-time message pushing system, 2, performing access, heartbeat detection, connection state management and load balancing of a client through an access module, performing dynamic strategy allocation based on tenant ID hash through a load balancer of the access module, routing client requests to different SSE servers, and sending the client requests to the SSE servers. 3, caching and routing management of messages are carried out through a message management module, distributed message middleware kafka is used as a cache queue through the message management module, real-time messages sent by a service system are received, and the messages are stored in a classified mode according to top and Tenant; the connection metadata comprises a connection ID, a client subscription topic and a timestamp, and step 5, monitoring the connection number of each node in real time through a monitoring module, triggering connection migration and message reissuing when the node fails, removing the information of the failed node, and notifying a load balancer to route the original connection to other nodes. And meanwhile, the message management module is notified to re-push the message which is not successfully pushed by the fault node to the new node, so that the message is prevented from being lost.

A semiconductor device is provided. The semiconductor device includes: an equalizer circuit configured to output a first control signal corresponding to a first bit of original two-bit data and a second control signal corresponding to a second bit of the original two-bit data; and a driver circuit including a plurality of pull-up transistors connected between an output node and a first power node configured to provide a first power supply voltage, and a plurality of pull-down transistors connected between the output node and a second power node configured to provide a second power supply voltage, wherein the second power supply voltage is lower than the first power supply voltage, and the driver circuit is connected to the equalizer circuit in series. The plurality of pull-up transistors includes a first pull-up transistor and a second pull-up transistor connected to each other in parallel, between the first power node and the output node, and a third pull-up transistor and a fourth pull-up transistor connected to each other in series, between the first power node and the output node.

The embodiment of the invention provides a channel training method and a program product, and the method comprises the steps: responding to a first updating instruction and first equalizer state information sent by first equipment, and carrying out the receiving end adaptive equalization of an equalization coefficient through a software interface; sending a second updating instruction and second equalizer state information to the first equipment according to the self-adaptive equalization result of the receiving end, so that the first equipment modifies a specified equalization coefficient, and receiving third equalizer state information and a third updating instruction sent after the first equipment is updated; and in response to the third equalizer state information and the third update instruction, hardware adaptation is performed on the equalization coefficient of the receiving end, fourth equalizer state information is sent to the first device according to a hardware adaptation result, and the fourth equalizer state information is used for indicating a channel formed by the first device and the second device to complete training. The problems of unstable channel training and long time consumption caused by channel training only through hardware automatic training in related technologies are solved.

The invention relates to an impedance determination method and device, computer equipment, a readable storage medium and a program product. The method comprises the steps that first eye diagrams of an on-chip terminal are acquired, and the first eye diagrams are eye diagrams of an electric signal under target equalizer parameter conditions corresponding to candidate impedance values of the on-chip terminal; each candidate impedance value corresponds to a target equalizer parameter; according to a first preset condition and the eye diagram parameters in the first eye diagrams, obtaining a target eye diagram from the first eye diagrams; wherein the first preset condition represents a screening condition related to the eye pattern parameter; and taking the candidate impedance value corresponding to the target eye diagram as a target impedance value. According to the method, the target impedance value is adopted to design the chip system, so that the performance of the chip is improved.

A system for activating multi-rate optical network units (ONUs) includes an optical network having an optical line terminal (OLT) optically coupled to a plurality of ONUs, including one or more multi-rate ONUs configured to support multiple upstream rates. During discovery when other ONUs are permitted to transmit in the same quiet window, a multi-rate ONU that supports a higher rate is instead configured to send a discovery response at a sufficiently low rate so as not to require training of an equalizer, thereby allowing for a short preamble for the discovery response. Thereafter, during a quiet window for ranging when only the multi-rate ONU will be transmitting to prevent data collisions, the multi-rate ONU is transitioned to a higher rate and transmits a message with a sufficiently long preamble to train an equalizer at the OLT.

The invention relates to a dynamic self-adaptive communication, sensing and calculation integrated method for an air-space-ground integrated network. The method comprises the following steps: S1, constructing an air-space-ground integrated network model fusing a low earth orbit satellite, an unmanned aerial vehicle and ground users / edge nodes; s2, establishing a cross-layer communication-perception-calculation integrated joint optimization model, and respectively forming two modes of binary unloading and partial unloading according to whether a task can be segmented or not; s3, for a binary unloading mode, realizing distributed solution and generating an unloading decision and a beam / power / bandwidth / computing resource scheme by using a dynamic adaptive prediction alternating direction multiplier (DAP-ADMM); and S4, aiming at a partial unloading mode, adopting a weighted minimum mean square error alternative optimization method, introducing a receiving equalizer, error weight and other auxiliary variables, executing block coordinate descent iteration, and outputting an unloading proportion, power distribution and a beam forming result. According to the DA-ISCC architecture and the optimization algorithm thereof provided by the invention, cross-domain calculation unloading with low time delay, high throughput and low overhead can be realized in a high-dynamic space-air-ground integrated network environment, and the DA-ISCC architecture and the optimization algorithm thereof can be widely applied to emergency communication, low-altitude logistics, ocean monitoring and other scenes.

A method of decision feedback equalization includes receiving symbols at a first rate, converting the symbols into first bits and second bits using a first slicer and a second slicer, respectively, wherein each of the first and second slicers operates at a second rate approximately equal to half the first rate, alternately sampling the first bits using a first latch and a second latch, wherein each of the first and second latches operates at a third rate approximately equal to a quarter of the first rate, alternately sampling the second bits using a third latch and a fourth latch, wherein each of the third and fourth latches operates at the third rate, alternately coupling the first latch and the second latch to a feedback input of the second slicer, and alternately coupling the third latch and the fourth latch to a feedback input of the first slicer.

The invention provides an uplink MIMO-NOMA (Multiple Input Multiple Output-Non-Orthogonal Multiple Access) system optimization method with a maximized sum rate, which comprises the following steps: firstly, in order to suppress interference between a transmission cluster and a reflection cluster, providing an inter-cluster SIC method: clustering users according to transmission characteristics, adopting space division multiple access in each cluster, and performing inter-cluster SIC of NOMA transmission so as to reduce the interference between the clusters; secondly, a non-convex optimization problem aiming at maximizing the total rate of the system is formulated and solved by using an alternating optimization framework, in the framework, a receiving equalizer is optimized according to a minimum mean square error standard, and transmitting power control of a user is processed through successive convex approximation, so that sub-problems are easy to process; and finally, the beam forming of the active STAR-RIS adopts a sequential rotation design. According to the invention, the dual-fading effect is effectively overcome by adjusting the phase shift and amplitude of electromagnetic waves, an alternating optimization framework is also provided to solve the described non-convex problem, user power is controlled through continuous convex approximation, and active STAR-RIS beam forming is realized through sequential rotation.

The invention discloses a decision feedback equalizer and a semiconductor device. The semiconductor device includes: a data pad; and a decision feedback equalizer configured to equalize the data signal received through the data pad. The decision feedback equalizer may include a plurality of decision feedback equalization blocks respectively corresponding to a plurality of clock signals having different phases. Each of the plurality of decision feedback equalization blocks may include: an input stage configured to compare a reference voltage with a data signal based on a corresponding clock signal, amplify a difference between the reference voltage and a voltage of the data signal, and output the amplified difference; and generate a first feedback signal and a second feedback signal based on the amplified difference between the reference voltage and the voltage of the data signal; and a latch stage configured to generate a first output signal and a second output signal based on a difference between the first feedback signal and the second feedback signal.

The invention provides a PAM4 signal equalizer based on automatic gain control, which comprises a continuous time linear equalizer CTLE, a variable gain amplifier VGA, a negative capacitor I, a negative capacitor II, a power detector, an encoder, an eye diagram parameter calculation module, a digital time converter, a pipelined analog-to-digital converter and a counter, the first input end of the continuous time linear equalizer CTLE is connected to an input signal DIN, the second input end VCTLE1 of the continuous time linear equalizer CTLE is connected to the first output end of the encoder, the third input end VCTLE2 of the continuous time linear equalizer CTLE is connected to the second output end of the encoder, and the output end N1 of the continuous time linear equalizer CTLE is connected to the input end of the first negative capacitor and the first input end of the VGA. According to the invention, optimization and real-time adaptive adjustment for PAM4 characteristics can be realized, the adaptability and the anti-noise capability can be improved, and the signal recovery capability and the signal integrity can be improved.

The invention discloses a coding method for reducing power consumption of a feed-forward equalizer, and relates to the technical field of equalizer coding, and the coding method is characterized in that each bit is only a value {-1, 0, + 1}; adjacent bits cannot be non-zero at the same time; a first non-zero bit symbol from a high bit to a low bit must be consistent with the overall symbol; the code decomposes the input data into a few symbolized weight bits, and multiplication of the input data and the weight can be converted into shift and addition or subtraction operation. Therefore, for a single tap, corresponding multiplication operation can be realized through shifting and addition or subtraction, and final output can be obtained through summation finally. According to the invention, equivalent multiplication can be completed through a limited number of shift and addition; during implementation, a multiplier is not needed, only symbol control addition is needed, and a very efficient digital system is achieved through the encoding mode and is used for achieving multiplication, especially on occasions needing high throughput rate and low delay.

The invention relates to a system and method for providing personalized audio streaming and rendering. Systems and methods for providing personalized audio streaming and rendering include receiving a movie audio track of selected content and a maximum accessible audio track of the content, and adjustably combining the movie audio track and the accessible audio track to provide an improved dialog audio track, the dialog audio track allows a user / listener to hear a dialog on ambient background noise, the combination being provided by a cross-tapered renderer that is manually adjusted by the user / listener or automatically adjusted based on measured background noise, and optionally providing a personalized equalizer for hearing impairment. It also allows the content provider to create a maximum accessible audio track for a given content independently of the user / listener, which may also use an X-Fade renderer to verify the quality of the accessible audio track.

A method of decision feedback equalization includes receiving symbols at a first rate, converting the symbols into first bits and second bits using a first slicer and a second slicer, respectively, wherein each of the first and second slicers operates at a second rate approximately equal to half the first rate, alternately sampling the first bits using a first latch and a second latch, wherein each of the first and second latches operates at a third rate approximately equal to a quarter of the first rate, alternately sampling the second bits using a third latch and a fourth latch, wherein each of the third and fourth latches operates at the third rate, alternately coupling the first latch and the second latch to a feedback input of the second slicer, and alternately coupling the third latch and the fourth latch to a feedback input of the first slicer.

An apparatus for use by a coherent receiver is configured to perform obtaining a first set of coefficients indicating a first filter in an adaptive equalizer of the coherent receiver, wherein the first filter is an adaptive Multi-Input Multi-Output, MIMO, filter with N taps in each branch, wherein N is an integer number; determining a further set of coefficients indicating a MIMO filter with a single tap in each branch based on the first set of coefficients; determining a first matrix based on the further set of coefficients; orthogonalizing the first matrix, thereby obtaining an orthogonalized matrix; determining a state-of-polarization based on at least part of the orthogonalized matrix.

An equalizer circuit in an envelope tracking (ET) integrated circuit (ETIC) is disclosed. The ETIC (26) is configured to generate an ET voltage based on a target voltage (VTGT) for amplifying a radio frequency (RF) signal(s). Since the ETIC has inherent impedance and group delay that can cause distortion in the ET voltage, an equalizer circuit (24) is provided in the ETIC to equalize the target voltage prior to generating the ET voltage. Specifically, the equalizer circuit generates an equalized target voltage to offset the inherent impedance and a modified target voltage to mitigate the group delay. Accordingly, the equalizer circuit can output a processed target voltage, which can include the equalized target voltage and / or the modified target voltage, for generating the ET voltage. As a result, it is possible to reduce distortion resulted from the inherent impedance and group delay, especially when the RF signal(s) is modulated in a wide modulation bandwidth.

An equalizer includes a graphic equalizer circuit, a first multiplication circuit, a second multiplication circuit, a summing circuit, and a gain control circuit. The graphic equalizer circuit processes a first input signal and outputs a first output signal and a second output signal. The first multiplication circuit multiplies the first output signal by one of an adjustable gain value and a fixed gain value to produce a first adjusted output signal. The second multiplication circuit multiplies the second output signal by the other of the adjustable gain value and the fixed gain value to produce a second adjusted output signal. The summing circuit combines the first adjusted output signal and the second adjusted output signal to produce an equalizer output signal. The gain control circuit dynamically adjusts the adjustable gain value based on the equalizer output signal.

A method for processing an audio signal comprising a first and second spatialized audio signal, wherein the first audio signal has a first lateral spatializer of a multichannel audio spatializer, the second spatialized audio signal (R1) a second lateral spatializer of the multichannel audio spatializer, and the first and second spatialized audio signals differs from the each other. Also disclosed is a first equalizer transfer function receiving and filtering the first spatialized audio signal from first set of equalizer coefficients to provide a first equalized audio signal and second equalizer transfer function receiving and filtering the second spatialized audio signal.

1. The name of the design product: active equalizer. 2. The use of the design product: applied to new energy battery, used for balancing battery voltage. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The application discloses an optical fiber nonlinear equalization method, system, electronic equipment and medium, and relates to the technical field of optical fiber communication, and the method comprises the following steps: acquiring a target symbol sequence; the target symbol sequence is a symbol sequence of a received optical signal to be tested received by a receiving end; a perturbation triple product eigenvalue of each symbol in the target symbol sequence is constructed by using a perturbation theory to obtain a target eigenvalue set; the target eigenvalue set is input into an equalizer model to obtain a data category of the target symbol sequence after equalization; wherein the equalizer model is obtained by training a complex full-connection neural network by using training data. The application can obtain an equalizer model closer to a real value, and improve the performance of optical fiber signal nonlinear equalization.

The invention discloses a sound equipment control method and system based on the AI Internet of Things technology, and relates to the technical field of sound equipment signal processing, and the method comprises the steps: S1, collecting the acoustic characteristic data of a target space in real time through an Internet of Things sensor, and S2, analyzing the acoustic characteristics of the space through an artificial intelligence model based on the collected data, s3, generating a preliminary control instruction of sound equipment equalizer parameters according to an analysis result, S4, optimizing the preliminary control instruction through a path planning model, generating an optimized regulation and control instruction, and sending the regulation and control instruction to the sound equipment to adjust the equalizer parameters in real time to solve the problem of sound distortion; according to the sound equipment control method and system based on the AI Internet of Things technology, the sound equipment equalizer parameters are regulated and controlled in real time according to the spatial acoustic characteristics so as to solve the problem of sound distortion.

Methods and devices for controlling a storage device including a non-volatile memory including a plurality of sectors including a first sector and a second sector; and a storage controller configured to: read first data from the first sector based on a plurality of threshold models; based on determining that the first data is invalid, read second data corresponding to the second sector based on the plurality of threshold models; based on determining that the second data is valid, update at least one parameter of the plurality of threshold models based on the second data; and generate updated first data corresponding to the first sector based on the plurality of threshold models.

The invention discloses a nonlinear equalizer for terahertz communication and a nonlinear equalization method of CNN-RES-LSTM combination, and belongs to the technical field of terahertz communication. The invention designs a nonlinear equalizer applied between a signal generator and a signal modulator of a terahertz communication system, which is used for carrying out nonlinear equalization processing on the terahertz communication system. The nonlinear equalizer refers to a neural network model based on CNN-RES-LSTM combination, and the processing steps of the CNN-RES-LSTM combination method are as follows: (1) improved CNN output retention: after spatial features are extracted from an improved CNN layer, the output is retained; (2) feature transformation and alignment: adjusting the feature dimension output by the CNN, and enabling the feature dimension to be matched with the dimension input by the LSTM; and (3) jump connection: directly splicing the adjusted CNN output with the LSTM. According to the invention, the problem of loss in a terahertz communication system is overcome, the performance and efficiency of balanced electric signals are calculated on demand, and the stability of signal transmission is improved.

1. A method for configuring equalization resources of an equalizer of a transceiver optical device, the equalization resources being used by the equalizer to perform equalization on optical signals received over channels of an optical line, the method comprising: acquiring environmental parameter values, the environmental parameter values ​​being values ​​of environmental data on physical parameters or derivatives affecting channels of the optical line; acquiring channel depth estimates from past experience in view of the environmental parameter values; and selectively enabling the equalization resources to perform equalization on optical signals received over channels of the optical line according to the acquired channel depth estimates.

The signal processing device has an acquisition section that acquires information related to a stringed instrument, and a setting section that sets parameters for an equalizer based on the acquired information.

The invention discloses a non-uniform quantization method and device based on density sensing clustering, equipment and a storage medium, and relates to the technical field of network communication, and the method comprises the steps: obtaining a tap coefficient of an equalizer; performing clustering division on the tap coefficient according to a preset quantization bit width to obtain a plurality of target clusters; determining a quantization parameter corresponding to the target cluster according to the dynamic range of the intra-cluster coefficient in the target cluster, wherein the quantization parameter comprises a scaling factor and a zero offset parameter; and independently and uniformly quantizing the tap coefficient in the target cluster according to the quantization parameter to obtain a recovery coefficient. According to the invention, the coefficient is adaptively divided into a plurality of clusters based on density sensing clustering, and uniform quantization is independently performed on each cluster, so that high-precision quantization of the equalizer coefficient under extremely low bits is completed, and the storage efficiency of coefficient quantization and the performance of the equalizer are improved.

The invention relates to the technical field of the Internet of Things, and discloses an energy efficiency collaborative optimization method based on the Internet of Things, and the method comprises the steps: constructing a value-structure-energy efficiency ternary coupling model, and carrying out the unified modeling of a data value, a system structure and energy distribution; constructing a double-layer recursive optimization architecture which comprises two mutually recursive optimization layers, namely a sensing layer and a relation layer; a self-adaptive tensor decomposition means is introduced to process value-relation-time three-dimensional data; a multi-time scale energy efficiency equalizer is realized, and short-term energy efficiency optimization and long-term energy efficiency planning are processed at the same time; and constructing a hybrid optimization objective function based on information entropy and graph centrality. According to the method, cognitive calculation and graph calculation technologies are fused, co-evolution of data values and system structures is achieved, the data acquisition value is increased by 35% under the same energy consumption condition, or the energy consumption is reduced by 42% under the same data value requirement; the adaptive speed of the system to the environment change is improved by 3.7 times; and the energy efficiency stability is improved by 78%.

The invention relates to the technical field of audio adjustment, in particular to an audio playing method capable of customizing tuning and a related device, and the method comprises the steps: obtaining a mixed audio signal of a currently played audio, carrying out the separation processing of the mixed audio signal, setting an identifier for each separation channel, and obtaining a separation audio signal; receiving a user-defined tuning instruction of a user, and obtaining a target audio signal matched with the user-defined tuning instruction in the separated audio signal; retrieving an equalizer template matched with the target audio signal based on a preset tone library, and performing music style matching processing on the equalizer template and the currently played audio; and according to a music style matching processing result, carrying out balance adjustment on the currently played audio to generate an adjustment instruction, and mapping the adjustment instruction to the currently played audio to carry out tone tuning processing. According to the method and the device, fine separation and personalized tuning adjustment of complex multi-track audio signals are realized, and the personalized degree of audio playing and the immersion of user experience are improved.

The invention relates to the technical field of digital signal processing, and discloses a self-adaptive parallel feed-forward equalizer circuit suitable for a PAM6 modulation mode, which comprises a data input module for receiving parallel PAM6 modulation digital signals; the data recombination module is used for performing beating processing on the PAM6 modulation digital signal; parallel extended data streams are formed; the tap weight coefficient unit is used for storing a plurality of adjustable tap weight coefficients; the multiplication and accumulation module is used for carrying out parallel multiplication and accumulation on the parallel extended data streams and the corresponding tap weight coefficients, and outputting multiple paths of parallel balanced data; and the self-adaptive control module is used for dynamically updating the tap weight coefficient according to the error between the balanced data and the ideal value on the basis of a minimum mean square error algorithm. According to the invention, the advantages of low delay, flexibility and adjustability can be satisfied while the equalization capability is improved.

The application provides a path intelligent navigation system for a photovoltaic installation robot, and relates to the field of path navigation. The system comprises an environment perception module, a path planning module, a navigation control module, a communication unit and a data storage module. The environment perception module generates an environment map containing slope, material friction coefficient and obstacles through the fusion of laser radar, camera and ultrasonic sensor. The path planning module integrates the environment map, robot position and task state, uses an algorithm to generate an optimal path and dynamically adjusts energy consumption weight and energy quota. The navigation control module uses a fuzzy algorithm to control movement, splits emergency tasks through task mirror fractal technology and monitors in real time. The communication unit synchronizes data with a warehouse device and a mechanical arm system. The data storage module records historical parameters and optimizes algorithms through machine learning. The system balances energy consumption, time and safety targets through a multi-target game equalizer, corrects paths and inserts a pseudo-path optimization model through a dynamic coupling unit, and realizes intelligent navigation and adaptive path planning of the photovoltaic installation robot.