59 results about "Equaliser" patented technology

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.

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.

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.

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.

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 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 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.

Embodiments of the present application provide a channel training method and program product, the method comprising: in response to a first update instruction and first equalizer state information sent by a first device, receiving end adaptive equalization is carried out on equalization coefficient through a software interface; according to the receiving end adaptive equalization result, the second update instruction and the second equalizer state information are sent to the first device, so that the first device modifies the specified equalization coefficient, receives the third equalizer state information and the third update instruction sent by the first device after updating; in response to the third equalizer state information and the third update instruction, hardware adaptation is carried out on the receiving end equalization coefficient, and the fourth equalizer state information is sent to the first device according to the hardware adaptation result, wherein the fourth equalizer state information is used to indicate that the channel composed of the first device and the second device is trained. The problem that only hardware automatic training is used for channel training in the related art leads to unstable channel training and long time consumption.

The invention discloses a high-precision communication sensing integration method, belongs to the technical field of communication sensing integration, and aims to solve the problems of complicated steps and low accuracy of traditional microalgae density detection. The method comprises the following steps: preparing a microalgae sample and obtaining a density reference value, deducing a communication bit error rate mathematical expression related to multiple parameters, designing an OOK / PAM4 modulation and low-complexity nonlinear equalization algorithm, obtaining a bit error rate data set by taking a microalgae solution as a transmission medium, and constructing and verifying a microalgae density-bit error rate correlation model. Reversely deducing a density value, optimizing a test interval, repeatedly verifying the accuracy rate, outputting multiple parameters, and analyzing an association relationship; communication and sensing collaboration is achieved, the average accuracy rate of microalgae density monitoring exceeds 95%, the adaptation rate range is wide, chip integration of an equalizer is easy, no contact is achieved, environmental protection is achieved, and the system is suitable for microalgae cultivation, marine environment monitoring and other scenes.

The invention provides an equalizer model construction method based on transfer learning and an equalizer model, and relates to the field of communication, and the method comprises the steps: transmitting a plurality of source OFDM frames between a transmitter and a receiver of a terahertz communication system through employing a source modulation format, and constructing a source training sample set; based on the source training sample set, pre-training a to-be-trained equilibrium model constructed based on the complex value residual time sequence convolutional network to obtain a source equilibrium model; transmitting a plurality of target OFDM frames by adopting a target modulation format different from the source modulation format, obtaining target frequency domain OFDM signal segments corresponding to the target OFDM frames, and constructing a target training sample set; performing feature freezing on a part of functional layers in the source equalization model, training the source equalization model by adopting the target training sample set, and adjusting parameters of a part of functional layers which are not subjected to feature freezing in the source equalization model to obtain a target equalizer model adaptive to a source modulation format and a target modulation format, and the generalization ability of the constructed equalizer model is improved.

The present application relates to the technical field of earphones and relates to an earphone sound quality adjustment method, an earphone, an apparatus, a storage medium, and a program product. The method comprises: acquiring a current degree of opening of a ventilation valve; on the basis of the current degree of opening of the ventilation valve, determining a current equalizer parameter; and, on the basis of the current equalizer parameter, performing audio playback. When the earphone of the present application performs audio playback, the current equalizer parameter is determined by means of acquiring the current degree of opening of the ventilation valve, so that, on the basis of different degrees of opening of the ventilation valve, different equalizer parameters are flexibly used to perform audio playback, thereby optimizing the sound quality during audio playback, compensating for the influence of air pressure changes caused by different degrees of opening of the ventilation valve on the sound quality, and improving the sound quality effect during audio playback.

The invention provides an equalizer parameter adjustment method and device, and relates to the technical field of data processing, and the method comprises the steps: transmitting a state obtaining request to vehicle-end equipment under the condition that an equalizer tuning instruction transmitted by the vehicle-end equipment is received, receiving audio scene information and current equalizer parameters returned by the vehicle-end equipment in response to the state acquisition request; performing semantic analysis on the equalizer tuning instruction, determining a target tuning intention of the equalizer tuning instruction, and extracting key entity information contained in the equalizer tuning instruction according to the target tuning intention; based on the key entity information and the audio scene information, determining model input data, inputting the model input data and the current equalizer parameter into a target tuning large model corresponding to the target tuning intention, and outputting an equalizer target parameter; and sending the equalizer target parameter to the vehicle-end equipment, so that the vehicle-end equipment adjusts the equalizer parameter. And the natural language tuning requirement of the user can be accurately understood.

1. The name of the design product: water flow equalizer. 2. The use of the design product: for cold and hot water uniform distribution and cold and hot water concentrated flow. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention discloses a sound effect adjustment parameter combination method and device and a storage medium, and relates to the field of audio processing. The method comprises the steps that a plurality of parameter sets are set, each parameter set comprises at least one sound effect adjusting parameter, and at least one parameter set in the plurality of parameter sets comprises at least two sound effect adjusting parameters; according to the user instruction and / or the state information of the audio playing device, K kinds of sound effect adjusting parameters are called from the multiple parameter sets to serve as target sound effect adjusting parameters, and K is an integer larger than or equal to 2; and combining the called K types of target sound effect adjustment parameters into a target equalizer parameter combination, the target equalizer parameter combination being used for adjusting the audio playing device. The technical problem that in the prior art, a large number of equalizer parameter combinations need to be stored in the flash memory, and consequently the utilization rate of storage resources of the flash memory is low is solved.

The utility model provides a sound equipment support and a sound equipment suite, the sound equipment support comprises a frame body and a trigger piece, the frame body is used for installing a sound equipment with an equalizer optimization function, the trigger piece is arranged on the frame body, and the trigger piece has a first position and a second position which can be switched relative to the frame body; when the trigger member is in the first position, the trigger member can trigger the sound arranged on the frame body to start the equalizer optimization function. And when the trigger piece is in the second position, the trigger piece cannot trigger the sound arranged on the frame body to start the equalizer optimization function. If a user wants to enable the sound equipment to start the equalizer optimization function, the user adjusts the trigger piece to the first position, and if the user does not want to enable the sound equipment to start the equalizer optimization function, the user adjusts the trigger piece to the second position. A user can select whether to trigger the equalizer optimization function of the sound equipment or not according to personal requirements, so that greater use freedom and personalized customization of audio experience are realized.

The application discloses a sound control method and system based on AI Internet of Things technology, and relates to the technical field of sound signal processing.The method comprises the following steps: S1, collecting acoustic characteristic data of a target space in real time through an Internet of Things sensor; S2, analyzing the acoustic characteristics of the space based on the collected data by using an artificial intelligence model; S3, generating a preliminary control instruction of sound equalizer parameters according to the analysis result; and S4, optimizing the preliminary control instruction by using a path planning model, generating an optimized control instruction, and sending the control instruction to a sound device to adjust the equalizer parameters in real time to solve the sound distortion problem.The sound control method and system based on AI Internet of Things technology can solve the sound distortion problem by adjusting the sound equalizer parameters in real time according to the acoustic characteristics of the space.

The invention relates to the technical field of audio adjustment, in particular to a self-adaptive serial playing method and a related device, and the method comprises the steps: carrying out the chain connection processing of a plurality of playing devices, and constructing a serial playing network; receiving an audio data stream sent by the user equipment, and performing feature extraction processing on the audio data stream to obtain a sound source initial data packet; sending the sound source initial data packet to a first device for localization analysis processing, sending the first sound quality demand table to a second device for localization analysis processing, generating a second sound quality demand table, and comparing and analyzing the first sound quality demand table and the second sound quality demand table; and according to a comparative analysis result, carrying out cooperative adjustment on equalizer parameters of the first equipment and the second equipment, and controlling the first equipment and the second equipment to realize tone quality synchronization in the serial play network. According to the invention, adaptive optimization of sound source and equipment characteristics is realized, and the overall tone quality performance and user experience of a multi-equipment series play network are improved.

This application relates to the field of optical communication system technology, and provides a low-complexity feedforward equalization method. It includes: receiving... K The sample / symbol training sequence is resampled to 2 samples / symbols, where 1 < K <2, Based on the 2-sample / symbol feedforward equalizer model, accurate and alias-free kernel coefficients are obtained using half-symbol interval kernel estimation; the estimated 2-sample / symbol kernel coefficients are then resampled to K Sample / symbol, obtain K Sample / symbol target kernel coefficients; the obtained K Sample / symbol target kernel coefficients are directly applied K Sample / symbol feedforward equalizer pair K The sample / symbol data signal is processed for equalization. By introducing half-symbol interval kernel estimation, this invention effectively avoids the signal spectrum filtering and aliasing problems caused by the downsampling process of symbol interval kernel estimation in existing non-integer fractional interval equalizers. While maintaining excellent equalization performance, it significantly reduces the computational complexity required for feedforward equalization.

According to the display equipment and the sound effect setting method provided by some embodiments of the invention, the method can respond to the selection instruction of the installation mode, and the target mode indicated by the selection instruction is analyzed. Wherein the selection instruction is generated based on the startup navigation interface or the menu interface. And loading a sound effect file corresponding to the target mode, setting sound parameters of the audio processor according to the sound effect file, and reading equalizer parameters corresponding to the target mode. Wherein the sound effect file comprises sound effect parameters. And writing the equalizer parameter into the power amplifier, so that the audio output device outputs sound corresponding to the audio signal based on the target mode. Wherein the power amplifier is provided with a corresponding dynamic range compression parameter. According to the method, based on the installation mode of the display equipment, different modes are switched to set the sound effect, sound loss of the display equipment caused by different installation modes can be reduced, and then the sound quality effect of sound output by the display equipment 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.

1. The name of the design product: equalizer adjustment operation graphical user interface of electronic equipment. 2. The use of the design product: an electronic device. 3. The design points of the design product: the interface content of the graphical user interface in the screen. 4. The picture or photo that best indicates the design points: design 2 front view. 5. The electronic equipment is a conventional design, and the rear view, left view, right view, top view, and bottom view of designs 1-5 are omitted. 6. Design 2 is designated as the basic design. 7. The use of the graphical user interface: the graphical user interface is used for management, control, and operation of sound multi-dimensional equalizer parameter adjustment. Among them, the front view of design 1 to the front view of design 5 are display interfaces of equalizer parameter adjustment in different modes, which can be adjusted and set by clicking and dragging one point in the curve area, or the parameter adjustment can be performed by sliding the circular area below; clicking the "use this template to create" option at the bottom of the front view of design 4 enters the design 4 interface change state diagram; clicking the "electronic tube effect" option in the upper right corner of the front view of design 5 enters the design 5 interface change state diagram.

A method according to an embodiment of the present specification comprises the steps of: receiving a first message including information related to a first task; transmitting a second message related to a semantic representation; and receiving a response related to the second message. On the basis of whether a semantic error related to the semantic representation has occurred or has been corrected, the response indicates an ACK or NACK. The second message includes semantic language information generated on the basis of the semantic representation. A soft value is determined for each performed task on the basis of the semantic language information, and whether the semantic error has occurred or whether the semantic error has been corrected is determined on the basis of the soft value.

The present disclosure relates to a circuit for driving an LED matrix using equalizer sub-circuits and shared amplifiers for controlling LED clusters in a loop. In some examples, the present disclosure describes a method of controlling an N multiplied by M micro LED cluster, where N and M are positive integers. The method may include receiving, by an amplifier circuit, a reference voltage, and outputting, by the amplifier circuit, a regulated voltage to an equalizer sub-circuit. The method may also include outputting, by the equalizer sub-circuit, a regulated voltage to each of the NxM power stages, and driving, by the NxM power stages, the NxM micro-LEDs based on the regulated voltage.