198 results about "Fundamental frequency" patented technology

The invention relates to the technical field of speech recognition, in particular to a Chinese learner-oriented tone evaluation and improvement method, which comprises the following steps of: extracting a fundamental frequency F0 curve and sound channel parameters of a speech signal, constructing a turbid and clear adaptive fusion model, and fusing to generate fundamental frequency related characteristics and fundamental frequency unrelated characteristics; constructing a tone error corpus, carrying out tone classification labeling, generating a multi-level tone feature set through a turbid and clear adaptive fusion model, aligning a voice signal with a reference voice time domain, and extracting and decoupling a tone shape feature vector and a tone domain feature vector; and based on the decoupled feature vectors, establishing a dual-channel evaluation path, hierarchically calculating the tone type distance and the tone domain distance of the tones, carrying out weighted fusion, generating a final evaluation score, and finally generating feedback information for the Chinese learner. According to the method, a complete method from feature decoupling to two-channel evaluation is constructed, the pronunciation problem of the learner is quantitatively diagnosed, and the pertinence and efficiency of Chinese tone learning are improved.

The invention relates to the technical field of power monitoring, in particular to an online monitoring method and system for a power control cabinet. The method comprises the following steps: acquiring a time domain signal, tracking a fundamental wave frequency, adjusting a sampling window, and performing Fourier transform to obtain a harmonic amplitude and a phase; harmonic waves are divided into harmonic wave correlation groups according to association rules, harmonic wave phase consistency coefficients are calculated to weight the total energy in the groups, and weighted harmonic wave energy is obtained; total inter-harmonic energy is calculated, and an inter-harmonic structure factor is obtained based on the spectral entropy. And acquiring a real-time load rate and a change rate, and calculating a synchronous change coefficient and a load factor. And summing the weighted harmonic energy and the corrected inter-harmonic energy to obtain total distortion energy, and obtaining a comprehensive distortion index according to the total distortion energy. According to the scheme, the structured inter-harmonics possibly caused by the early failure of the equipment can be found earlier, and the requirements of early warning and predictive maintenance are met.

A method for filtering periodic noise and a filter using the method are provided. The method includes: obtaining an input signal; detecting a fundamental frequency corresponding to a maximum peak in a spectrum of the input signal, detecting a harmonic frequency according to the fundamental frequency, and detecting an aliasing frequency corresponding to the harmonic frequency in response to the harmonic frequency corresponding to the fundamental frequency being greater than a Nyquist frequency of the input signal; filtering the fundamental frequency and at least one of the harmonic frequency and the aliasing frequency of the spectrum to generate a first filtered spectrum, and restoring the input signal according to the first filtered spectrum to generate an output signal; and outputting the output signal. The method for filtering the periodic noise and the filter using the method may filter the periodic noise in the input signal affected by an aliasing effect.

A tool abnormality detection system includes a detector configured to detect a sound wave generated in processing a workpiece with a tool and output a detection signal based on the sound wave, and a controller configured to generate, based on the detection signal, determination signals indicating intensities in respective frequency bands: a fundamental frequency band of a wear-indicative sound wave; and a higher frequency band that is higher than the fundamental frequency band, and determine whether the tool is worn by comparing each of the determination signals to its respective wear threshold which is set for the respective frequency bands.

The present invention relates to the technical field of vibration data detection, and specifically relates to an electric chain saw chain device and an operating safety detection method. The method comprises: obtaining a time-series initial noise factor of vibration data at each moment on the basis of the difference between local vibration data in a vibration signal data sequence and distribution of the differences between all adjacent vibration data within a local range, and obtaining a time-series noise factor of the vibration data at each moment by means of distribution of time intervals between all adjacent extreme points in a local vibration data curve; on the basis of the difference between the energy corresponding to a fundamental frequency and the energy corresponding to harmonic frequencies and the degree of disorder in energy distribution of the harmonic frequencies, obtaining a frequency domain noise factor of the vibration data at each moment, and filtering the vibration data to obtain a filtered vibration signal data sequence; and then performing operating safety detection of the electric chain saw chain device. The present invention reduces the interference of environmental noise and improves the accuracy of the operating safety detection of the chain device.

The invention relates to the technical field of dynamic balance testing of rotating machinery, and discloses a dynamic balance state testing system based on equipment operation data, which comprises a synchronous sampling module, a fundamental frequency vector analysis module and an influence coefficient self-adaptive calibration module, the synchronous sampling module collects key phase pulses and original vibration signals of the rotating equipment; a fundamental frequency vector analysis module extracts an instantaneous rotating speed and a real-time fundamental frequency vibration vector; the influence coefficient self-adaptive calibration module stores a weight matrix representing rotor supporting characteristics, monitors a rotating speed fluctuation variance, corrects the weight matrix according to complex deviation of a vibration vector when the variance exceeds a preset threshold value, solves a net unbalance vector of the controlled rotating equipment, and outputs the net unbalance vector. According to the method, the rotating speed micro fluctuation in the operation process is used as an excitation increment source, and the sensitivity model reflecting the rotor bearing characteristics is constructed, so that the dynamic balance test gets rid of the limitation of adding a physical test weight, and the online test requirement under the continuous working condition is met.

The application discloses a multi-frequency harmonic injection system and method of a radio frequency power supply, comprising: a signal generating device configured to generate a target fundamental frequency component and at least one target harmonic component synchronized with the target fundamental frequency component, and output a multi-frequency radio frequency signal containing the target fundamental frequency component and the target harmonic component; a sampling device configured to sample the multi-frequency radio frequency signal to obtain a sampling signal; a signal processing device configured to separate an actual fundamental frequency component and an actual harmonic component from the sampling signal; and a control device configured to adjust the amplitude ratio and / or the phase between the target fundamental frequency component and the target harmonic component according to the amplitude and the phase of the actual fundamental frequency component and the actual harmonic component. The application realizes precise adjustment of plasma ion energy, waveform stability, process uniformity and reliability improvement through multi-frequency harmonic synchronous generation, real-time closed-loop regulation and decoupling control of ion energy-flux.

This application provides a control method, system, and electronic device for a PWM rectifier. The control method includes: determining the actual current of the PWM rectifier and determining a current error based on the actual current and a reference current; obtaining a first control parameter based on the current error using a preset algorithm; determining an error compensation value based on the current error using a repetitive controller, and compensating the first control parameter with the error compensation value to obtain a second control parameter; determining the fundamental frequency of the modulation wave based on the second control parameter, and obtaining a control signal based on the fundamental frequency of the modulation wave using a discontinuous pulse width modulation (DPWM) method to control the PWM rectifier. This application introduces a repetitive controller into the discontinuous pulse width modulation (DPWM) method, which improves the problem of large current harmonics caused by periodic errors due to periodic entry into clamping state in the DPWM modulation method, thereby improving control accuracy.

Embodiments of the present disclosure provide a vocoder training method. The vocoder training method comprises: obtaining a first fundamental frequency sequence of audio in an audio corpus; performing fundamental frequency perturbation processing on the first fundamental frequency sequence to obtain a second fundamental frequency sequence; performing mapping processing on the second fundamental frequency sequence to obtain a target tensor; and training the target tensor, an acoustic feature sequence corresponding to the audio, and the audio to obtain a vocoder used for audio synthesis. The method of the present disclosure improves the robustness of the vocoder to fundamental frequency prediction errors in actual application by introducing fundamental frequency perturbation, thereby significantly improving the accuracy and quality of audio synthesis and providing a better experience for users. In addition, embodiments of the present disclosure provide an audio synthesis method, a medium, a device and a computing device.

The invention discloses a single-stage speech synthesis method and system based on VITS2, and relates to the technical field of speech synthesis, and the method comprises the steps: obtaining a to-be-synthesized speech, and extracting a corresponding audio feature; the audio features are input to a multi-scale feature fusion module for multi-scale feature extraction, invalid region filtering and fusion, and optimized features are obtained; inputting to a decoding generation module based on the optimization features, and carrying out multiple times of up-sampling to obtain an intermediate audio; inputting the intermediate audio into a feature extraction module to obtain a fundamental frequency signal and a Mel spectrum; and inputting the fundamental frequency signal and the Mel spectrum into a U-Net post-processing module, and performing up-down sampling and residual fusion to obtain a synthesized audio signal spectrum. The naturalness and fidelity of the synthesized speech are remarkably improved, and meanwhile the training and reasoning efficiency is guaranteed.

The present invention provides a method for compressing a signal, the method comprising: obtaining a main signal via a signal recording module; modeling a model signal of the main signal via a processor by: obtaining a sampled signal via the processor; obtaining a windowed signal via the processor; and extracting, via the processor: a fundamental frequency waveform having a fundamental magnitude and a fundamental phase; and at least one harmonic frequency waveform having a harmonic magnitude and a harmonic phase; wherein the model signal comprises the fundamental frequency waveform and the at least one harmonic frequency waveform; calculating, via the processor, an error signal between a reconstructed signal and the main signal; determining, via the processor, an optimal gain according to at least: an averaging step providing an average, a predefined threshold, and a scaling signal, wherein the scaling signal is a historical error signal scaled by iteratively: averaging a difference between the error signal and the scaling signal, wherein the optimal gain comprises a predefined gain when the average satisfies the predefined threshold; determining, via the processor, an index from a residual signal by: determining the residual signal; vector quantizing the residual signal; and indexing the vector quantized residual signal; synthesizing, via the processor, a compressed signal, wherein the compressed signal comprises: the fundamental phase; the fundamental magnitude; the harmonic phase; the harmonic magnitude the optimal gain; the index. Thus, the compression method preferably overcomes problems associated with current compression techniques, and provides a suitable technique for compressing a signal that can be used to infer a type of load on a circuit.

This application discloses a precision capacitance sensing system, comprising a modulation signal source, a sensitive probe, a differential transformer bridge, a signal amplification link, an analog multiplier, and a low-pass filter circuit, all connected in sequence. It also includes a demodulation reference signal source, the output of which is connected to the second input of the analog multiplier. The demodulation reference signal source is used to generate a multi-frequency combination demodulation reference signal, which is composed of a fundamental frequency component and at least two harmonic components superimposed. This invention also discloses a precision capacitance sensing method. By employing a specially designed demodulation reference signal, this application ensures that the system output remains constant within a continuously varying range of the demodulation phase difference, thereby achieving complete insensitivity to phase difference fluctuations and effectively overcoming the performance bottleneck that has long constrained high-precision capacitance sensing.

This invention discloses an acoustic detection method for unmanned aerial vehicles (UAVs) based on dual-domain harmonic enhancement features, belonging to the field of acoustic signal processing and target detection and recognition. The method first performs time-frequency analysis on the acoustic signal to obtain a reference power spectrum; then, it performs two-way feature enhancement in parallel: in the time-frequency domain, a floor-scaled soft comb mask is constructed based on the estimated fundamental frequency, and selective gain is implemented to highlight harmonic ridges; in the cepstral domain, a harmonic structure robust to fundamental frequency drift is extracted through adaptive decomposition and energy ratio-based gain modulation. The two enhanced features are respectively input into a lightweight dual-branch network using rectangular convolutional kernels and depthwise separable convolutions for feature extraction. After fusion, the detection and recognition results are output through a classifier. This invention does not rely on blind source separation and can stably enhance UAV harmonic features under conditions of low signal-to-noise ratio, frequency drift, and multi-source aliasing, while also possessing advantages such as high computational efficiency and suitability for edge deployment.

The application discloses a Chinese continuous speech tone change automatic detection method and system, and belongs to the technical field of speech signal processing.The method comprises the following steps: a speech forced alignment step is used to acquire syllable time boundaries; a fundamental frequency transition trajectory extraction step is used to extract a fundamental frequency feature vector in an adjacent syllable connection area; a tone change rule matching step is used to acquire an expected mode from a knowledge base containing necessary and variable rules; a tone change mode detection step is used to calculate a matching score and determine whether the tone change is correct, missing or excessive; and a feedback generation step is used to generate a pitch curve labeling graph and rule explanation.The application realizes accurate tone change detection by focusing on the fundamental frequency transition features of the connection area, provides reasonable evaluation by using a hierarchical rule knowledge base, and helps learners to improve pronunciation by visual feedback.

The application discloses a filter bank frequency multiplication suppression heart rate calculation method and device based on a BCG signal, equipment and a medium, and the method comprises the following steps: collecting a multi-channel BCG signal and performing window processing; calculating a body movement index based on a BCG voltage amplitude or an energy mutation, and marking a low-confidence window; performing channel quality scoring on a non-low-confidence window, and obtaining a reference BCG signal through weighted fusion; decomposing the reference BCG signal to obtain a plurality of sub-band BCG signals; generating a candidate heart rate and a confidence on each sub-band by combining a peak spacing method, an autocorrelation method and a frequency domain spectrum peak method; after clustering the candidate heart rate, weighting and correcting the candidate cluster score according to the sub-band source; performing harmonic consistency discrimination, when the frequency multiplication candidate is dominant and the fundamental frequency candidate has more than a threshold of supporting evidence in the low-frequency sub-band, performing frequency multiplication back-off adjustment scoring; combining the last window output to perform continuity constraint and suppress frequency multiplication jump. The application can actively identify and correct the frequency multiplication misjudgment caused by the harmonic energy being dominant.

The invention discloses a dynamic modeling and performance analysis method for a quartz double-end tuning fork resonator, and the method comprises the steps: constructing a high-order displacement field which meets the condition that the free boundary stress is zero in prior to describe the deformation of a mass block, and employing a coupling scheme based on a virtual work principle; the tuning fork arms and the mass block are integrated into an energy conservation dynamic self-consistent system. According to the method, the linear characteristic frequency and modal of the system are solved, then geometric nonlinearity is introduced, and the amplitude-dependent nonlinear frequency response is accurately calculated through an iterative algorithm. According to the dynamic modeling and performance analysis method for the quartz double-end tuning fork resonator, the fundamental frequency prediction error is reduced to 0.34% from 1.6% of a traditional model, and the relative precision is improved by 79%; meanwhile, the non-physical residual stress at the free boundary is restrained to the magnitude of the maximum stress in the domain, the boundary stress distortion is fundamentally eliminated, and a reliable theoretical tool is provided for accurate design and optimization of the high-performance MEMS resonator.

The invention relates to the technical field of non-electrical variable adjustment, and discloses a path adjustment method for an aircraft transfer platform in a multi-layer transfer scene, which comprises the following steps: acquiring the quality of a controlled object borne by a first positioning unit, mapping the fundamental frequency resonance amplitude of a system based on the quality of the controlled object, and setting a dynamic dead zone threshold value; translating the physical displacement deviation into a feature node coordinate in a parameterized spatial map, extracting an instantaneous geometric feature of a non-uniform rational B-spline curve and converting the instantaneous geometric feature into a driving compensation vector, monitoring a pose deviation generated by residual mechanical oscillation of the first positioning unit, and when the pose deviation exceeds a dynamic dead zone threshold value, determining that the first positioning unit is in a dynamic dead zone; according to the method, a static waiting time sequence is reconstructed into a dynamic accompanying compensation process, the restriction of mechanical oscillation on the operation rhythm is eliminated, and the material flow volume of a transfer system is increased.

The application provides a control system and a control method of an LLC resonant induction heating power supply. The LLC resonant induction heating power supply heats a load through a half-bridge inverter circuit. The control system comprises a modulation unit and an odd harmonic control unit. The modulation unit is used to determine a target modulation index and a fundamental frequency, and to realize an output frequency adjustable high-frequency alternating square wave by controlling the switching of each power device of the half-bridge inverter circuit. The waveform of the high-frequency alternating square wave has a half-wave symmetric structure with a fundamental period as a cycle. The odd harmonic control unit is used to predict an optimal switching angle combination of each power device under the condition of meeting an odd harmonic suppression target. The modulation unit generates a modulation signal for controlling the switching of each power device based on the optimal switching angle combination. The application can significantly improve the harmonic suppression effect of a high-frequency induction heating power supply under a dynamic load.

To provide a method and an apparatus for detecting the position of a wasp with high accuracy.SOLUTION: A method for detecting a wasp includes collecting an environmental sound in front of a directional microphone by using the directional microphone, performing a frequency analysis on the environmental sound to identify, from the environmental sound, a magnitude of a sound of a fundamental frequency derived from a movement of a wing of a wasp, magnitudes of harmonics of the fundamental frequency, and a high-frequency noise, and determining whether each of the sound of the fundamental frequency, the sounds of the harmonics, and the high-frequency noise is greater than a predetermined threshold. The hornet detection device includes a sound collection means, a determination means, and an output means.SELECTED DRAWING: Figure 11

A method and system for calculating an extension length of a main fracture in hydraulic fracturing, and a medium are provided. The method includes: acquiring a water hammer wave signal at a wellhead after pump shutdown during hydraulic fracturing; obtaining a time for a water hammer wave to travel from the wellhead to a bridge plug; calculating an average velocity of the water hammer wave moving in a well; performing a Fourier transform on a local signal with linear trend removed, to obtain a frequency spectrum of the local signal of the water hammer wave; extracting a fundamental frequency corresponding to a maximum value point in the frequency spectrum of the local signal of the water hammer wave as a response frequency in a main fracture; calculating a propagation time of the water hammer wave in the main fracture; and calculating an extension length of the main fracture.

A computer-implemented method analyzes periodic information in digital vibration data associated with a machine. The method involves generating a spectral periodic information plot (PIP) based on the digital vibration data and locating amplitude peaks in the PIP at frequencies associated with a fundamental frequency of interest. Peaks appearing at the fundamental fault frequency and related harmonic frequencies are removed from the PIP, while retaining the energy values ​​associated with the removed peaks. The remaining peaks in the PIP are classified into synchronous periodic peaks and asynchronous periodic peaks. The remaining peaks in the PIP, along with the fault frequency and related harmonic frequencies, are graphically plotted on a display device using different colors or line styles to identify different frequency groups of interest. The method implements an algorithm that locates peaks in the PIP at frequencies associated with the fundamental frequency of interest, even if the located peak frequencies do not precisely match the fundamental frequency of interest.

The invention relates to the technical field of safety monitoring of water conservancy and hydropower engineering, in particular to a tension wire tension non-contact checking method and device based on a sound wave vibration frequency method.The tension wire tension non-contact checking method comprises the steps that a non-contact exciter emits excitation pulses to a tension wire to excite the tension wire to generate transverse vibration; collecting a vibration signal of the tension wire in a non-contact manner by using a laser vibration meter; performing fast Fourier transform on the vibration signal to obtain a vibration fundamental frequency of the vibration signal; according to a string vibration formula, in combination with pre-input tension wire length and linear density parameters, a real-time tension value of the tension wire is calculated, and the device comprises an excitation unit, a sensing unit, a main control processing unit and a display and input unit. According to the invention, absolute zero-disturbance, high-precision and rapid on-site checking of the tension of the tension wire is realized, and the problems that a traditional method needs contact measurement, disturbance is large and operation is tedious are solved.

This invention discloses a method and system for measuring the sound insulation of in-ear hearing protectors, relating to the field of sound insulation measurement technology. The method includes: calibrating a test microphone and an external microphone to obtain sensitivity at different frequencies; pre-selecting sound source points for noise simulation; dividing the pre-processed sound signal into several short time periods, obtaining frequency domain signals through Fourier transform, dividing into harmonics according to the fundamental frequency and obtaining voltage characteristics; calculating the sound pressure amplitude and sound pressure level at each harmonic based on sensitivity, and calculating the sound insulation and sound insulation rate for each harmonic; combining the sound insulation of each harmonic within all short time periods to obtain the sound insulation of each harmonic within the complete time period, and then calculating the comprehensive sound insulation based on an A-weighted network; turning on the test sound source at each sound source point, calculating the sound insulation rate of each harmonic at each sound source point, extracting the high, medium, and low frequency sound insulation rates, and fitting a function of the distance variation based on the straight-line distance between the sound source point and the test microphone; thus achieving accurate measurement and analysis of the sound insulation of in-ear hearing protectors.

The application relates to the technical field of power electronic control, in particular to a three-phase four-wire converter adaptive resonance control gain adjustment method and system, which comprises collecting real-time output current data of a three-phase four-wire converter, and calculating three-phase current effective values according to the number of sampling points in a power frequency cycle; performing numerical comparison on the three-phase current effective values to extract the maximum value of the three-phase current effective values; constructing a linear function relationship based on the maximum value of the three-phase current effective values and a preset proportional coefficient, and respectively calculating a fundamental frequency resonance control gain for a zero axis and a double-frequency resonance control gain for dq axes; and assigning the calculated fundamental frequency resonance control gain and double-frequency resonance control gain to a voltage loop controller in real time to update control parameters and perform closed-loop control on the converter. The application can adjust the resonance control gain in real time according to the power size.

The invention discloses a voltage flicker parameter detection method and module based on a high-order symmetric derivative and a fractional Kaiser window. The voltage flicker parameter detection method and module are used for electric energy quality monitoring. The method comprises the steps that first-order symmetric difference is popularized to high-order symmetric difference on the basis of first-order symmetric difference, a multi-resolution concept is introduced to obtain a multi-resolution high-order symmetric envelope derivative operator with high precision and high robustness, and flicker envelope signals are extracted more rapidly and accurately through the energy operator; then, fractional Kaiser window three-spectral-line improved FFT (Fast Fourier Transform) spectrum correction with two adjustable parameters is adopted for the extracted envelope signal; the method can effectively adapt to single-frequency modulation and multi-frequency modulation environments, can suppress interference of harmonic waves, inter-harmonic waves, fundamental wave frequency fluctuation, phase jump and noise, and is wider in application range in the field of electric energy quality monitoring compared with modules obtained by other energy operators.

A method of synthesizing an audio signal for use by a horn apparatus for a vehicle to produce an audible warning sound, wherein the audio signal contains a fundamental frequency and harmonics corresponding to the fundamental frequency. The method includes: selecting weights for each of a plurality of harmonics corresponding to a fundamental frequency; using the selected weights to synthesize a precursor audio signal from only the fundamental frequency and the plurality of harmonics; compressing the precursor audio signal one or more times to provide an audio signal which has a crest factor that is below a predetermined threshold.

The invention discloses a folk music style identification method and system and a storage medium. The folk music style identification is realized by analyzing an audio signal. Calculating a short-time energy envelope change rate to obtain a transient intensity factor, and weighting the periodic difference function by using the factor; cumulative mean normalization processing is carried out on the corrected difference function, and harmonic structure stability is calculated to screen fundamental frequency candidate points; global tonality probability distribution is calculated based on all candidate points, a state transition matrix considering a frequency difference value and tonality coordination degree is constructed, and an optimal fundamental frequency sequence is decoded; and dividing the sequence into a playing technique fragment and a melody stable fragment according to the transient intensity factor, extracting a feature subset to form a feature vector, and inputting a classification model to output a style identification result.

The application belongs to the technical field of rotating machinery fault monitoring, and specifically discloses a rotating machinery sound signal separation method and device, an electronic device and a medium, the method comprising: performing fundamental frequency estimation on the collected mixed sound signal, determining a time-frequency spectrum and a harmonic frequency ridge line graph of the mixed sound signal; inputting the time-frequency spectrum and the harmonic frequency ridge line graph into a harmonic structure perception deep network to obtain a time-frequency double soft mask; the harmonic structure perception deep network is jointly constructed based on a coding and decoding network, a harmonic attention mechanism network and a convolutional neural network, is used for performing harmonic noise feature extraction and attention modulation on the time-frequency spectrum by using harmonic band physical prior information carried by the harmonic frequency ridge line graph, and realizes harmonic feature enhancement; noise separation is performed on the time-frequency spectrum by using the time-frequency double soft mask to obtain a mechanical harmonic noise signal and a background noise signal. Through the application, the precision of multi-noise separation in a mechanical sound signal can be improved, and the application is used for rotating machinery fault diagnosis.

The invention discloses an intonation coordination data processing method and system based on multi-channel separation, and relates to the technical field of data processing, and the method comprises the steps: obtaining a to-be-processed channel audio track, obtaining a preset pitch reference, and obtaining the deviation rate of the to-be-processed channel audio track; counting the number of the to-be-processed sound track as a first number, counting the number of the to-be-processed sound track of which the absolute value of the deviation rate exceeds a preset threshold value as a second number, and obtaining a to-be-processed adjustment degree index; obtaining a complexity coefficient, obtaining a target adjustment degree index, and obtaining the adjustment amount of the to-be-processed sound track according to the target adjustment degree index and the deviation rate of the to-be-processed sound track; and adjusting the fundamental frequency of the to-be-processed sound channel audio track based on the adjustment quantity of the to-be-processed sound channel audio track to obtain a target sound audio track corresponding to the to-be-processed sound channel audio track, and fusing all the target sound channel audio tracks to form multi-channel audio data. The method has the advantages of self-adaptability, multi-level constraint and coordinated suppression.

This invention proposes a method and apparatus for improving the accuracy of fundamental frequency metrology. The apparatus includes: a UART module for sending the number of clock cycles (baud_cnt) required to transmit one symbol to a calculation module and a control module; a calculation module for calculating the frequency offset of the fundamental frequency (RCH) and, based on the RCH frequency offset, calculating the bandpass filter coefficient (b) in the fundamental frequency metrology device using a pipelined approach, and adjusting the bandpass filter based on the bandpass filter coefficient (b); a control module for process control of the pipelined approach; and a register for receiving and storing relevant data during the operation of the UART module, calculation module, and control module. The method employs the aforementioned apparatus for improving the accuracy of fundamental frequency metrology to calculate the bandpass filter coefficient (b) and adjust the bandpass filter accordingly.