863 results about "Digital filter" patented technology

The invention provides a servo hydraulic system optimization control method and system for a press machine test platform, and relates to the technical field of press machines, and the method comprises the steps: building a state space expression and building a mathematical model of a servo hydraulic system based on dynamic characteristics by deducing mathematical expressions of all components of the system; building a predictive control algorithm based on the mathematical model, solving a quadratic programming problem by adopting a rolling optimization strategy through building a state space predictive model and determining a multi-objective optimization function to obtain an optimal control sequence, and taking a first element of the optimal control sequence as control input at the current moment; feedforward compensation and pressure feedback compensation are introduced, the feedforward compensation constructs a compensation model based on an inverse system of a press transfer function and pre-corrects a control signal, and the pressure feedback compensation designs a digital filter based on a pressure error, fuses a feedforward compensation signal with a pressure feedback compensation signal and superposes the fused signal with the control signal; and obtaining a final control signal.

The invention relates to the technical field of audio noise reduction, and discloses a Bluetooth headset environment noise adaptive adjustment method and system, and the method comprises the steps: collecting multi-band sound data of headset environment noise through a preset acoustic sensor array, generating a noise spectrogram, extracting a noise masking threshold through time-frequency joint analysis, and collecting a headset audio signal; next, noise suppression is carried out on the audio signal by using a multi-order digital filter bank to obtain a primary noise reduction signal, the primary noise reduction signal is optimized into an optimized noise reduction signal based on a signal-to-noise ratio, and the frequency response matching degree of the optimized noise reduction signal and the original audio signal is calculated; then, performing phase correction and amplitude-frequency equalization processing according to the frequency response matching degree to obtain an audio equalization parameter; and finally, monitoring residual noise energy based on the parameter, generating a noise regulation and control instruction, driving adaptive sampling, and generating an adaptive noise reduction scheme. According to the invention, the audio noise reduction effect of the Bluetooth earphone can be improved.

The invention discloses a sampling implementation method and system suitable for motor protection quick response, belongs to the technical field of motor protection, and can increase the sampling frequency and improve the quick response of motor fault protection. Comprising the steps that motor phase current and bus voltage are collected, after anti-aliasing filtering is conducted, parallel sampling is conducted through a main ADC module and a redundant ADC module which are independently configured, and the following operations are synchronously executed based on a double-buffer-area framework: in a first buffer area, a compensation coefficient updating period is dynamically adjusted, and convergence is restrained; in the second buffer area, generating a voltage gradient prediction sequence, and compensating data abrupt change; when the harmonic frequency spectrum amplitude or the voltage gradient prediction sequence exceeds the limit, an oversampling mode is triggered, a redundant ADC module is allocated to load a multi-order digital filter, and an independent hardware acceleration unit is started to process harmonic compensation and gradient prediction in parallel; and generating a dynamic safety envelope, and if the gradient extreme value in the preset continuous window breaks through the safety envelope, generating an overvoltage fault signal.

The invention discloses an SF6 gas leakage detection method and system based on a photoacoustic spectrum analyzer, and the method comprises the steps: arranging a sampling end to collect an SF6 gas sample, and obtaining stable gas input through constant-current sampling and steady-state pretreatment; steady-state gas is guided into the photoacoustic spectrum analyzer, and resonance frequency stabilization and signal amplification output are achieved through the self-tuning unit; executing double-microphone differential detection and digital filtering processing, and outputting a stable SF6 detection signal with a high signal-to-noise ratio; performing time calibration, abnormity elimination and consistency processing on the detection signal to generate standardized detection data; inputting the standardized data to a Transform model, and performing inversion to generate an SF6 leakage source position and a diffusion path; and displaying an inversion result on a monitoring interface, triggering a sound-light alarm when the inversion result exceeds a limit, and uploading the inversion result to a cloud monitoring platform. According to the invention, the intelligent photoacoustic spectrum system combining photoacoustic-fluid steady-state control and self-tuning detection is constructed, so that high-sensitivity detection and accurate positioning of SF6 gas leakage are realized.

The invention relates to the technical field of data acquisition, and discloses a distributed photovoltaic data acquisition method and device based on time synchronization. The method comprises the following steps: performing distributed transmission processing on nanosecond synchronous acquisition reference signals through a time delay compensation network to obtain trigger synchronization signals of a plurality of acquisition nodes, and performing data acquisition processing through a multi-channel parallel sampling circuit to obtain original voltage and current data; and carrying out data verification processing on the original voltage and current data through a digital filtering algorithm to obtain effective acquisition data, carrying out string matching analysis processing to obtain string feature distribution, and carrying out data screening processing through a state evaluation algorithm to obtain real-time performance data of the photovoltaic module. Through high-precision clock synchronization and parallel sampling technologies, nanosecond sampling synchronization of a plurality of acquisition nodes is realized, and the acquisition data is ensured to have a strict time sequence corresponding relation, so that an accurate data basis is provided for performance evaluation and fault diagnosis of the photovoltaic module.

Signal processing is applied to a digital input audio signal. An analog audio output signal is provided based on the digital input audio signal via a switching converter circuit driven by a PWM signal. The analog audio output signal is sensed to generate an analog feedback signal. The applied signal processing includes: producing a digital error signal indicative of a difference between the digital input audio signal and a digital word signal; applying digital-to-analog conversion to the digital error signal to produce an analog replica of the digital error signal; producing an analog difference signal indicative of a difference between the analog replica of the digital error signal and the analog feedback signal; applying analog-to-digital conversion to the analog difference signal to produce the digital word signal; applying digital filtering to the digital word signal to produce a filtered digital word signal that generates the PWM signal.

The invention relates to a response performance test method and system of a microswitch. The method comprises the following steps: inputting a multi-pulse trigger sequence to a microswitch contact and collecting contact response original data; performing digital filtering processing on the contact response original data to obtain contact response time sequence data; comprehensive response time parameters including contact mechanical action starting time, electrical initial contact time and electrical stable contact time are calculated according to the contact response time sequence data; performing temperature compensation and contact rebound characteristic extraction on the comprehensive response time parameter to obtain contact rebound characteristic evaluation data; according to the contact rebound characteristic evaluation data and the comprehensive response time parameter, the response performance stability of the microswitch under the high-frequency operation condition is calculated, and a reliability evaluation result is generated. According to the invention, the problem of time sequence measurement error caused by the influence of contact jitter in the traditional test is effectively solved, and the accuracy and consistency of contact response time measurement are remarkably improved.

The invention relates to the technical field of resource scheduling, in particular to a hyper-fusion computing power scheduling method and system based on a prediction model, and the method comprises the following steps: collecting and sorting real-time data in a hyper-fusion environment, including GPU utilization rate and network bandwidth information, removing noise from the real-time data by using a digital filtering technology, and extracting key performance indexes; carrying out numerical value standardization on the key performance indexes, and establishing standardized resource characteristic values; according to the invention, through the application of real-time data collection and digital filtering technologies, the quality of data processing is improved, the accuracy of resource prediction is ensured, and the short-term resource demand can be accurately predicted and accurate matching and optimal distribution of resources can be realized by using standardized key performance indexes and time sequence analysis; the neural network model constructed by using the feedback loop and the nonlinear activation function can dynamically adjust the resource configuration, effectively deal with the real-time change of the resource demand, and improve the adaptability of the system to the workload and the overall data processing capability.

The invention discloses a low-temperature environment LNG (Liquefied Natural Gas) metering sensor drift compensation method and system, and particularly relates to the technical field of sensor drift compensation. Output data of a sensor are collected and processed, and a temperature compensation model of the sensor is established; in the working temperature range, digital filtering processing is carried out on data of displacement change of each measuring range point, and then analysis and mining are carried out; a data longitudinal interval in a temperature range is refined by using a table look-up method, so that the data interval is reduced. And calculating the G value according to the residual error obtained by the table look-up method and the numerical value change condition in each temperature section. If the G value is greater than a preset threshold value of the system, selecting a proper fitting method, such as a least square method or Legendre orthogonal polynomial fitting, according to the distribution of the G value and the data interval when curve fitting is used, so as to further optimize the temperature compensation model; and if the G value is smaller than the system preset threshold value, no subsequent operation is carried out.

The invention discloses a method for detecting and displaying the electric quantity of an earphone, which relates to the technical field of electronic equipment and comprises the following steps of: acquiring an analog signal of battery voltage through an ADC (analog-to-digital converter) channel, converting the analog signal into a digital signal, performing digital filtering processing on the acquired signal, matching a preset voltage-electric quantity mapping table according to an updated battery voltage value, and displaying the electric quantity of the earphone according to the preset voltage-electric quantity mapping table. According to the method for detecting and displaying the electric quantity of the earphone, the voltage of a lithium battery of 0-4.2 V is detected through an ADC differential input mode, the sampling frequency is 100-500 Hz, the precision is 10-12 bits, and signal stability is ensured through low-pass filtering. A sliding window mean filtering algorithm is adopted to process signals, fluctuation and noise are effectively eliminated, and voltage changes are dynamically tracked. A deviation comparison mechanism avoids misjudgment and ensures accurate electric quantity detection. The electric quantity mapping table is dynamically adjusted according to the voltage, the battery use duration and the environment temperature, the earphone electric quantity state is accurately reflected, the user experience is improved, and the electric quantity detection stability and accuracy are improved.

The invention relates to the technical field of welding, in particular to a hot riveting welding head synchronous temperature control method and system based on the temperature change rate, and the method comprises the steps: executing full-power heating pulse triggering operation on a welding head, calculating the pulse duration according to a start timestamp and an end timestamp, calculating the temperature rise, and eliminating peak noise through a digital filtering algorithm; environment temperature and relative humidity are collected in real time, and equivalent heat capacity is calculated; the initial temperature difference between any welding heads is calculated, and a dynamic target temperature curve is constructed; and calculating an actual temperature change rate, synchronously extracting a target change rate of the dynamic target curve at a corresponding moment, calculating a change rate deviation between the two change rates, judging whether intervention adjustment is needed or not, calculating an output signal by using an incremental PID algorithm if intervention adjustment is needed, and adjusting the heating power according to the output signal. According to the scheme, the stability of the hot riveting welding quality is effectively improved by accurately quantifying the thermal characteristics of the heterogeneous welding head, dynamically planning a personalized temperature rising track and performing high-frequency closed-loop regulation and control.

The invention provides a noise suppression method and device for a balanced photoelectric detector, equipment and a storage medium. The method comprises the following steps: acquiring a first sampling sequence of the balanced photoelectric detector; performing digital filtering processing on the first sampling sequence to obtain a second sampling sequence; performing autocorrelation analysis on the second sampling sequence, and constructing an autoregression model to obtain a first prediction sequence; according to the first prediction sequence, the second sampling sequence and an autoregressive model, constructing an autoregressive moving average model, and obtaining a second prediction sequence corresponding to the autoregressive moving average model in a preset time period; acquiring a third sampling sequence corresponding to a preset time period, and performing noise evaluation according to the second prediction sequence and the third sampling sequence to obtain a preliminary noise sequence; and acquiring a real-time sampling sequence of the balanced photoelectric detector, and in the autoregressive moving average model, performing weighted fusion on the real-time sampling sequence and the preliminary noise sequence to obtain a photoelectric differential signal.

The invention discloses a satellite-ground uplink frequency sharing method, device and equipment, a medium and a program product, and the method comprises the steps: receiving first information; the first information comprises a mapping table between the wave position and the frequency; receiving second information; the second information comprises a beam hopping pattern; performing frequency configuration on a beam digital filtering function according to the mapping table between the beam position and the frequency in the first information and the beam hopping pattern in the second information; according to the method, the problem that the satellite coverage and the spectrum utilization rate are contradictory under the existing satellite-ground frequency sharing single interference avoidance mode can be solved, and satellite-ground same adjacent channel coexistence under whole satellite coverage is realized.

The invention discloses a digital filter and a filtering processing method, the digital filter comprises a single-port random access memory, an operation module and a control module, and the control module writes a filtering parameter group corresponding to a current filtering task into the single-port random access memory; each filtering parameter group comprises a filtering coefficient and an input sample; the control module reads sub-data groups from the single-port random access memory according to a first-in first-out sequence and distributes the sub-data groups to the computing units in an idle state, each sub-data group comprises a filtering sub-coefficient and an input sub-sample, the filtering sub-coefficient is a part of the filtering coefficient, and the input sub-sample is a part of the input sample; and the control module is also used for obtaining a corresponding output sample according to a final result of the calculation unit participating in the current filtering task, and writing the output sample into the single-port random access memory. According to the invention, a small-size digital filter is realized, and the requirement of a digital filter with a smaller nanometer level is met.

A feature extraction and simulation method for sound signals of an autonomous navigation ship tunnel thruster. A digital filter is used to process measured signals to remove spike signals, and the characteristics of residual wideband floor noise signals are analyzed. A finite impulse response filter is designed, and the impulse response of the finite impulse response filter is convolved with white Gaussian noise, so that simulated noise is matched with frequency-domain characteristics of floor noise signals. A spike signal amplitude is calculated, and a group of sine wave signals having a corresponding frequency are generated as spike signals. Narrowband spike signals and wideband floor signals are superposed and synthesized into simulated tunnel thruster noise. A feasible solution is provided for research and analysis of sound signals of a tunnel thruster. The sound characteristics of the tunnel thruster are accurately extracted, a predicted sound level is improved, and a tunnel thruster sound source database is established, thus providing valuable data support for signal quality analysis of a ship autonomous navigation system, fault diagnosis and improvement of a control strategy for the tunnel thruster.

The invention provides a weak current acquisition circuit and electronic equipment, which are applied to the field of control or regulation systems, and the circuit converts an input current signal to be processed into a corresponding first voltage signal through a first analog switch, a second analog switch and sampling resistors corresponding to different gear control signals; the operation integration unit is used for amplifying the first voltage signal and generating an integration voltage signal, and then the analog-to-digital conversion unit is used for converting the integration voltage signal into a digital voltage signal; a control unit collects the digital voltage signal and calculates a target current value corresponding to the current signal to be processed according to the digital voltage signal. The circuit provided by the embodiment of the invention can be used for amplifying the current signal to be processed, carrying out analog-to-digital conversion on the integral voltage signal and acquiring the corresponding digital voltage signal according to the preset digital filtering algorithm, and can effectively reduce the influence of noise on the acquisition precision in the weak current acquisition process.

The invention provides a switching value and analog quantity acquisition system, and the system comprises a switching value acquisition module which is used for carrying out the signal acquisition through the combination of polling and interruption, and monitoring an interference source in real time through the photoelectric isolation and filtering technology in the signal acquisition process; the analog quantity acquisition module is used for performing data acquisition by adopting a multi-channel parallel acquisition mode, eliminating high-frequency noise and low-frequency interference by utilizing a digital filtering technology, and dynamically adjusting an acquisition range by utilizing a self-adaptive algorithm; the quick response module is used for performing task processing and performance optimization by utilizing a real-time operating system, so that the system response time is at a millisecond level; and the data storage module is used for designing a storage strategy in the main program and realizing data check, error processing and security storage. According to the invention, the response speed, anti-interference performance and signal integrity during switching value acquisition are guaranteed, high precision, real-time performance and the like during analog quantity acquisition are ensured, and the performance of an acquisition system is greatly improved.

The invention discloses a discrete time increment type analog-to-digital converter and a control method thereof, the analog-to-digital converter comprises a modulator and a digital filter, and the modulator comprises an integrator module, a single-bit quantizer, an FIR feedback digital-to-analog converter, a first compensation path and a second compensation path. The control method comprises the following steps: carrying out noise shaping processing on an input signal and an output signal of a single-bit quantizer to obtain a preliminary output signal; and the digital filter is used for filtering the preliminary output signal to obtain an output signal of the analog-to-digital converter. According to the analog-to-digital converter, hardware consumption and digital power consumption can be reduced, the conversion precision of the analog-to-digital converter is improved, and the signal distortion degree of the analog-to-digital converter is reduced. The circuit can be widely applied to the technical field of mixed signal circuits.

The invention provides a loop parameter compensation method, device and system for a digital power supply chip and a readable storage medium, and the method comprises the steps: responding to excitation signals generated by an excitation signal generation module at different moments based on a frequency test algorithm in a sampling process; calculating amplitude-frequency response data corresponding to a preset test frequency interval of the digital power supply chip; based on the amplitude-frequency response data, determining a direct-current gain of the digital power supply chip and a zero point and a pole point corresponding to a power level circuit in a sampling process; calculating compensation parameters of the digital power supply chip by combining the direct-current gain, the zero point and the pole point; and updating the compensation parameter into the digital filter so as to regulate and control the output voltage of the digital power supply chip. Through the implementation of the scheme of the invention, the application scene of the digital power supply chip is greatly expanded, and the optimal control of the output voltage of the digital power supply chip can still be realized under the condition that the power level parameters are changed.

The invention discloses a method for measuring a circumferential alternating current loop of a magnetic microwire based on LabVIEW. The method realizes loop measurement based on LabVIEW program control, and comprises the following steps of: connecting a magnetic microfilament and a resistor in series and then connecting the magnetic microfilament and the resistor into a signal generator, and simultaneously connecting another channel of the signal generator into an oscilloscope. The other two channels of the oscilloscope measure voltage signals at the two ends of the magnetic microfilament and the resistor at the same time and are connected to a computer to achieve control. The LabVIEW program reads a voltage signal measured by the oscilloscope, and carries out digital filtering processing, numerical integration processing, image display processing, and data recording and storage. Through the two steps, the circumferential alternating-current hysteresis loop of the magnetic microfilament can be measured. According to the method, the use of an induction coil is avoided, an indirect measurement method is obtained and demonstrated through physical derivation, the annular alternating-current hysteresis loop of the material is obtained, the measurement mode is simple enough, and only two common devices, namely a signal generator and an oscilloscope, are needed.

The invention provides a hysteresis loop analysis method for a transformer no-load loss test, and belongs to the technical field of transformers. Exciting voltage and current signals are collected in a transformer no-load state, and an active filter is used for carrying out digital filtering processing to eliminate harmonic interference; a data corresponding relation between magnetic flux density and magnetic field intensity is established through a digital integration algorithm and a magnetic field intensity calculation formula to form original hysteresis data, the original hysteresis data is processed by using a hysteresis loop optimization model, a complete hysteresis loop curve is generated, and the hysteresis loop area is calculated. According to the hysteresis loop area, the hysteresis loss power density is calculated through the iron loss calculation function, the total value of the transformer no-load loss is obtained by combining the eddy current loss calculation result, and the technical problems that the hysteresis loop reconstruction precision is not high and the complex hysteresis phenomenon cannot be adapted in the transformer no-load loss test are solved.

The present invention discloses a radio frequency cancellation circuit and an anti-interference receiver. The radio frequency cancellation circuit includes a radio frequency phase detection circuit, a baseband filtering and processing circuit, and a vector modulation circuit; the baseband filtering and processing circuit includes an AD circuit, a DA circuit, and a microprocessor; the output signal of the radio frequency phase detection circuit is converted into a digital circuit by the AD circuit, and then digitally filtered and phase adjusted by the microprocessor, and then converted into a reference low-frequency baseband signal by the DA circuit. The anti-interference receiver adopts the radio frequency circuit to eliminate in-band interference. In the present invention, due to the use of software radio technology, through the microprocessor and the supporting circuit, the cancellation strategy can be adjusted in real time according to the spectrum form and signal bandwidth of the interference signal, so as to achieve a good adaptive cancellation effect.

The invention relates to the technical field of micro electro mechanical system sensors and signal processing, in particular to an acceleration sensor temperature drift compensation method and device and electronic equipment, and the method comprises the steps: obtaining the dynamic response data of an acceleration sensor at a plurality of working temperatures; fitting the dynamic response data to obtain a physical parameter and a continuous time transfer function of the acceleration sensor, and determining a digital filter coefficient according to the physical parameter and the continuous time transfer function; fitting based on the digital filter coefficient and the temperature to obtain a linear drift coefficient of the digital filter coefficient and the temperature, constructing a temperature offset compensation model according to the linear drift coefficient, inputting the working temperature of the acceleration sensor into the temperature offset compensation model, and outputting the digital filter coefficient by the compensation model, and performing temperature drift compensation on the acceleration sensor by using the digital filter coefficient. Therefore, the problems of output distortion caused by the dynamic characteristic of the acceleration sensor along with temperature drift, difficulty in realizing effective temperature self-adaptive dynamic compensation and the like are solved.

The invention belongs to the technical field of cognitive radio, and particularly relates to an open set modulation identification method based on time-frequency domain feature learning and fusion. The method comprises the following steps of: receiving a signal by adopting a receiving antenna through electromagnetic spectrum monitoring equipment, capturing a space electromagnetic radiation signal, converting the space electromagnetic radiation signal into an electric signal, amplifying the signal through a low-noise amplifier, performing frequency conversion and filtering through an analog receiver, and converting the received signal into an intermediate-frequency signal. Then, the signal is digitalized through AD sampling, and the intermediate frequency signal is converted into a baseband complex signal through frequency mixing and digital filtering in a digital receiver. Then performing time domain characterization calculation and frequency domain characterization calculation on the signal sampling data to form a plurality of time domain characterization vectors and a plurality of frequency domain characterization vectors; and then the vectors are sent to a trained deep neural network model, reasoning is carried out by using the network model, a reasoning result is post-processed, and a signal modulation identification result is finally obtained. According to the invention, the recognition accuracy of unknown signals is improved.

The invention discloses a fast-locking low-jitter sub-sampling phase-locked loop structure. The sub-sampling phase-locked loop comprises a sub-sampling Bang-Bang phase discrimination circuit, a self-adaptive variable step size digital filter circuit, a delta sigma digital-to-analog conversion circuit and an oscillator circuit. The sub-sampling Bang-Bang phase discrimination circuit generates a phase discrimination output digital control signal according to an input reference signal and a feedback oscillator signal phase error, the adaptive variable step size digital filter circuit adaptively adjusts a filtering gain according to the phase discrimination output digital control signal, and the output of the filter circuit realizes digital-analog conversion after oversampling modulation. And the output analog signal controls the voltage-controlled oscillator to realize rapid low-jitter phase locking of the output and the reference signal.

The invention relates to a full-dynamic exponential increment type low-delay high-precision analog-to-digital converter, which comprises a loop integrator used for receiving an ith-round input signal, and sequentially performing addition processing and integration processing on the ith-round input signal and a feedback signal calibrated by an (i-1) th round to obtain an ith-round integration signal; the first-order exponential increment error feedback noise shaping SAR quantizer is used for carrying out addition processing and multi-bit quantization on the ith round integral signal and the double (i-1) th round residual signal to obtain an ith round quantization signal; the digital-to-analog conversion module is used for sequentially performing format conversion, mismatch calibration and digital-to-analog conversion on the (i-1) th round of quantized signals in the process of processing the ith round of input signals to obtain feedback signals after the (i-1) th round of calibration; and the digital decimation filter module is used for carrying out digital filtering and down-sampling processing on the ith-round quantized signal to obtain an ith-round Nyquist rate output signal. The system can realize higher significant digits in shorter conversion time.

A MEMS gyroscope includes a mixed analog and digital drive loop. A drive sense signal from a suspended spring-mass system is received by the drive loop, rectified, and compared to a reference signal. The result of the comparison is processed and converted into a digital signal that is processed by a digital filter and a digital pulse-width modulator of the drive loop. The output of the pulse width modulator controls a high-voltage drive of the drive loop that generates a drive signal having an amplitude based on the pulse width modulator output signal and supplies the drive signal to drive the suspended spring-mass system.

The embodiment of the invention discloses a numerical control oscillator calibration system. The system comprises a signal detection assembly, a phase discriminator, a numerically-controlled oscillator gain module, a digital filter and a numerically-controlled oscillator, the numerically-controlled oscillator is connected with the signal detection assembly, the signal detection assembly is connected with the phase discriminator, the phase discriminator is connected with the numerically-controlled oscillator gain module, the numerically-controlled oscillator gain module is connected with the digital filter, and the digital filter is connected with the numerically-controlled oscillator. The digital filter is connected with the numerically-controlled oscillator. According to the embodiment of the invention, the initial control word is not directly adjusted, and the tuning control word is additionally generated for adjustment, so that the adjustment process is not influenced by the size of the initial control word, adjustment can be carried out with a smaller code value, and the calibration precision is improved.

The invention relates to the technical field of data prediction processing, in particular to a flood risk prediction method and device based on artificial intelligence and emergence constraint, and the method comprises the steps: segmenting a base flow through employing a preset digital filtering algorithm, and generating a surface runoff series of a research basin; obtaining a drainage basin average daily air temperature series, and dividing the same-day air temperature-surface runoff combination in the target research time period into a plurality of box elements with the same sample capacity by using a box element scaling function; separating a thermodynamic item and a dynamic item of the drainage basin extreme rainfall scale coefficient; predicting a preliminary prediction value of the extreme surface runoff driven by the thermal action; and constructing an emergence constraint model according to the data of the global climate mode and the predicted initial predicted value of the extreme surface runoff so as to predict the flood risk driven by the future thermal action of the target. Therefore, the problem that the flood risk under the driving of the future thermal action is predicted without comprehensively considering the atmospheric thermal power and power separation mechanism and without considering the emergence constraint in the related technology is solved.

An analog-to-digital converter circuit module utilizing dither to reduce multiplicative noise. A dither generation circuit generates a noise-shaped analog dither signal having lower amplitudes at frequencies below a cutoff frequency than at frequencies above the cutoff frequency. The noise-shaped analog dither signal is added to the input analog signal to be converted and the summed signal applied to an analog-to-digital converter The dither generation circuit may be implemented as an analog dither generator followed by an analog high-pass filter. The dither generation circuit may alternatively be implemented digitally, for example with a digital noise-shaping filter applying a high-pass digital filter to a pseudo-random binary sequence. The digital dither generation circuit may alternatively be implemented by one or more 1-bit sigma-delta modulators, each generating a bit of a digital dither sequence that is converted to analog.