43 results about "Goertzel algorithm" patented technology

An inertial sensor has a transducer with a sense resonator. The sense resonator is oscillated. A signal responsive to the oscillation is provided. A first baseband signal and a second baseband signal are provided responsive to the signal responsive to the oscillation of the sense resonator. A signal for controlling a resonance frequency of the sense resonator is provided responsive to performing a Goertzel algorithm on the first baseband signal and the second baseband signal. One use of controlling the resonance frequency is to control an offset between the resonance frequency of the sense resonator and the frequency of the oscillation of drive masses in the sense resonator. Using the Goertzel algorithm is particularly efficient in controlling the resonance frequency.

The embodiment of the invention discloses a digital signal processing system of a phase rangefinder, relates to the field of digital signal processing, provides a solution for the defects existing in traditional FFT calculation and can balance the precision and the calculation speed of an algorithm. The system comprises a main vibration unit used for generating a main vibration signal and modulating the intensity of a laser signal emitted by a laser emission unit with stable frequency, a local vibration unit used for generating a local vibration signal, a phase-locked loop unit used for adjusting the frequency of the main vibration signal and providing a sampling pulse for a digital signal processing unit, a laser emission unit used for emitting a laser signal, a laser receiving unit used for converting a reflected laser signal into an electric signal, a frequency mixing unit used for carrying out frequency mixing on the electric signal and the main vibration signal to obtain a low-frequency signal including phase information, a power amplification unit used for amplifying and shaping the low-frequency signal, and a digital signal processing unit used for sampling the amplified and shaped low-frequency signal, calculating the phase information with a Goertzel algorithm and converting the phase information into distance information. The digital signal processing system is used for range finding of the phase rangefinder.

Detection of alerting or other tone signals in a composite signal are reliably detected with an improved false tone detect suppression technique which employs the use of a moving window analysis on a subset of frequencies detected within an underlying speech signal performed during each of a plurality of data frames. The composite signal is transformed during each data frame using a discrete Fourier transform comprising the so-called Goertzel Algorithm. All of the Goertzels relating to the tone detection are analyzed during each data frame, but only a subset of the Goertzels relating to the sweeping harmonic analysis of the underlying speech signal are analyzed during any particular data frame. Thus, rather than analyzing the underlying speech signal for the presence of any and all relevant frequencies during each data frame to prevent inadvertent tone detection, a piece wise sweeping harmonic analysis is performed over a plurality of data frames, providing a more efficient and less intensive moving sweeping harmonic analysis. Thus, in addition to the detection of the particular alerting or other tone signal, the underlying speech signal is analyzed over a moving plurality of data frames to provide a "canceling' effect to the detection of a particular tone in the event that a harmonic frequency relating to the detected tone is present in the underlying speech signal. The result is a reliable, yet inexpensive tone detector.

An inertial sensor has a transducer with a sense resonator. The sense resonator is oscillated. A signal responsive to the oscillation is provided. A first baseband signal and a second baseband signal are provided responsive to the signal responsive to the oscillation of the sense resonator. A signal for controlling a resonance frequency of the sense resonator is provided responsive to performing a Goertzel algorithm on the first baseband signal and the second baseband signal. One use of controlling the resonance frequency is to control an offset between the resonance frequency of the sense resonator and the frequency of the oscillation of drive masses in the sense resonator. Using the Goertzel algorithm is particularly efficient in controlling the resonance frequency.

The invention discloses a Kose quality flowmeter digital signal processing system based on AFF and SGA comprising signal conditioning circuit, A / D converter, digital signal processor (DSP), liquid crystal display (LCD) circuit, keyboard input circuit, digital / analog (D / A) converter, power amplifying circuit and software. The method uses multi-to-one filtration, adaptive funnel type filtration (AFF) and Sliding Goertzel Algorithm for sampled data processing, by calculating the fundamental frequency and phase of the flow tube vibration, the time difference between the frequency and two-way signal can be obtained from the phase differential, thus acquiring the mass flow value and the density value, an actuating signal is produced by the frequency value from the DSP calculation and sent to D / A for power magnification, making the flow tube vibrate.

A method and system for stabilizing and demodulating an interferometer at quadrature are described. In response to receipt of a signal indicative of optical power of the interferometer, an interferometer control system determines an optical path length correction required to stabilize the interferometer at quadrature utilizing signal amplitudes appearing at multiple harmonics of the signal. In a particularly preferred embodiment, the signal amplitudes are calculated utilizing the Goertzel algorithm, a computationally efficient discrete Fourier transform. The interferometer control system then outputs an error signal indicative of the optical path length correction. In a preferred embodiment, the error signal forms the DC component of a composite stabilization signal, whose AC component is the reference modulation signal utilized to excite a transducer to modulate the optical path length of the interferometer. With the interferometer stabilized at quadrature, the interferometer control system determines a first signal amplitude of a particular harmonic without target oscillation and a second signal amplitude of the same harmonic with target oscillation. Based upon the relative magnitudes of the first and second signal amplitudes, the interferometer control system determines a solution set for the displacement amplitude of the interferometer target. Any ambiguity in the displacement amplitude can then be eliminated utilizing additional information gained from the signal amplitude present at a harmonic of a target oscillation frequency.

Disclosed herein is a method for automatic gain control based on signal spectrum sensing. Spectral sensing techniques may be employed to detect the presence or absence of interference and also determine a frequency location of the interference and power level estimates of a desired signal. The method includes running an algorithm to measure the energy periodically to track the changes as blockers that were not prominent while experiencing deep fade and those that will affect performance when it is out of the deep fade. The method enables predicting a level of degradation for various front-end settings and enables selection of an optimum setting. In an embodiment, the spectral sensing may be performed either in analog domain using narrowband tunable filters. In an embodiment, the spectral sensing may be performed digitally using Fast fourier transform (FFT), Goertzel algorithm, or power detection techniques.

Exemplary embodiments relates to a demodulator for frequency-shift keyed signals by using the Goertzel algorithm according to the general recursive calculating rule, wherecre=2*cos(2*π*fgfs)with the sampling frequency fs and the specified frequency fg. To reduce the mathematical complexity in feed-power-limited devices, it is proposed that the sampling frequency fs is an integral multiple of the frequency fg of a specified discrete spectral component.

A method and system for stabilizing and demodulating an interferometer at quadrature are described. In response to receipt of a signal indicative of optical power of the interferometer, an interferometer control system determines an optical path length correction required to stabilize the interferometer at quadrature utilizing signal amplitudes appearing at multiple harmonics of the signal. In a particularly preferred embodiment, the signal amplitudes are calculated utilizing the Goertzel algorithm, a computationally efficient discrete Fourier transform. The interferometer control system then outputs an error signal indicative of the optical path length correction. In a preferred embodiment, the error signal forms the DC component of a composite stabilization signal, whose AC component is the reference modulation signal utilized to excite a transducer to modulate the optical path length of the interferometer. With the interferometer stabilized at quadrature, the interferometer control system determines a first signal amplitude of a particular harmonic without target oscillation and a second signal amplitude of the same harmonic with target oscillation. Based upon the relative magnitudes of the first and second signal amplitudes, the interferometer control system determines a solution set for the displacement amplitude of the interferometer target. Any ambiguity in the displacement amplitude can then be eliminated utilizing additional information gained from the signal amplitude present at a harmonic of a target oscillation frequency.

The invention relates to a difference frequency signal frequency detection method for a frequency modulated continuous wave fuze ranging system, and belongs to the technical field of fuze. The method comprises the following steps of: determining sampling frequency FS according to a difference frequency signal frequency range; determining a data block point number N according to actually required frequency resolution; calculating a constant in an optimized Goertzel algorithm in advance, coding the constant and storing the constant into a frequency detection program; and detecting a difference frequency signal with target frequency when the energy of a frequency signal to be detected exceeds a preset threshold value. The method provided by the invention can be implemented by utilizing a low-cost small-volume singlechip with a low computational load so as to save a fuze system space and signal processing time and achieve high detection real-time performance, and militarily has an important application value and vast application prospect in the frequency modulated continuous wave fuze ranging system; and by the method, a difference frequency value corresponding to the optimal detonation distance of the fuze can be rapidly and effectively detected.

The present invention relates to a method and system for checking an acoustic transducer and the audio system, wherein an inaudible silo test signal is added on top of a normal audio signal of an electronic device. A signal mix consisting of the test signal and the normal audio signal is derived and converted to a digital signal which is processed by a type of Fourier transformation, e.g. the Goertzel algorithm, to derive the magnitude of the digital signal at the test signal frequency. The derived magnitude is used to gain knowledge about the functionality of the acoustic transducer and its electrical connection to the electric device, as well as the common audio path.

A method to determine and / or monitor at least one process variable of a medium with at least one vibration-capable unit. The vibration-capable unit is excited to mechanical vibrations by means of an electrical excitation signal of an adjustable frequency; wherein the mechanical vibrations are transduced into a received electrical signal, which is characterized at least by a frequency and / or a phase and / or an amplitude. The excitation signal is generated based on the received signal; wherein the voltage values of the received signal are sampled at specified predetermined points in time, starting from the excitation signal. The real part and the imaginary part of the received signal are determined from the sampled voltage values of the received signal by means of a Goertzel algorithm; wherein at least one Goertzel coefficient-in particular the number of the sample values and / or an operating frequency and / or a sample frequency-is provided for performing the Goertzel algorithm. At least the current phase and / or the current amplitude of the received signal are calculated from the real part and the imaginary part of the received signal; wherein the frequency of the excitation signal is adjusted such that a predeterminable phase shift is present between the excitation signal and the received signal; and wherein the at least one process variable is determined.

The invention relates to a method for realizing noninvasive blood pressure measurement based on Goertzel algorithm. In an inflating process of a blood pressure cuff, by the aid of the Goertzel algorithm, a plurality of corresponding values of energy strength P are calculated according to the frequency fi of each of sample points, the values of the energy strength P are connected to form a fluctuated curve according to a time sequence, the amount of the sample points is M, so that the amount of the fluctuated curves is M, and a perfect fluctuated curve is checked from the M fluctuated curves; and average pressure, contraction pressure and expansion pressure are calculated in the perfect fluctuated curve. In the inflating process of the blood pressure cuff, noninvasive blood pressure measurement is realized, and the method further has the advantages of high interference resistance and fast measurement speed.

The invention discloses a Kose quality flowmeter digital signal processing system based on AFF and SGA comprising signal conditioning circuit, A / D converter, digital signal processor (DSP), liquid crystal display (LCD) circuit, keyboard input circuit, digital / analog (D / A) converter, power amplifying circuit and software. The method uses multi-to-one filtration, adaptive funnel type filtration (AFF) and Sliding Goertzel Algorithm for sampled data processing, by calculating the fundamental frequency and phase of the flow tube vibration, the time difference between the frequency and two-way signal can be obtained from the phase differential, thus acquiring the mass flow value and the density value, an actuating signal is produced by the frequency value from the DSP calculation and sent to D / A for power magnification, making the flow tube vibrate.

The invention discloses a voice silencing method in a civil aviation VHF anti-interference transceiver, and the method comprises the following steps: judging whether a signal exists or not or whetherthe quality is good or not by adopting a carrier frequency estimation method based on a Goertzel algorithm; judging whether a voice signal exists in the signal or not by adopting a voice detection method based on a cyclic average amplitude difference function (CAMDF); and adaptively adjusting an audio mute threshold in combination with an AM modulation degree discriminated by the system in real time to realize automatic on-off of demodulated output voice. According to the method provided by the invention, during normal voice communication, the phenomena of interruption and incapability of turning off some special noises do not occur any more, the voice communication quality problem caused by mute is effectively solved, and the output voice quality grade of the civil aviation VHF anti-interference transceiver is improved.

An acoustic transducer and audio system are checked for operability continuously during operation without interfering with their operation. An inaudible test signal is added on top of a normal audio signal of an electronic device. A mix of the test signal and the normal audio signal is converted to a digital signal which is processed by a type of Fourier transformation, e.g. the Goertzel algorithm, to derive the magnitude of the digital signal at the test signal frequency. The derived magnitude is used to gain knowledge about the functionality of the acoustic transducer and its electrical connection to the electric device, as well as a common audio path.

Exemplary embodiments relates to a demodulator for frequency-shift keyed signals by using the Goertzel algorithm according to the general recursive calculating rule, wherecre=2*cos⁡(2*π*fgfs)with the sampling frequency fs and the specified frequency fg. To reduce the mathematical complexity in feed-power-limited devices, it is proposed that the sampling frequency fs is an integral multiple of the frequency fg of a specified discrete spectral component.

The invention discloses a fusion indoor positioning method, system and device based on a wearable device, wherein Miller codes are adopted to enable LED-ID optical signals of each path to contain a timing component, so that the problem that asynchronous sending information of a plurality of LED lamps is interfered and correct decoding cannot be achieved can be solved, LED light sources are supported to asynchronously broadcast LED-ID information, single sampling decoding of multiple paths of LED-ID can be achieved through a Goertzel algorithm under a continuous window oversampling mechanism, and real-time positioning of a user in the moving process is supported. Moreover, the problem of rapid reduction of positioning performance caused when LED signals are shielded can be solved by matching the double-LED modified RSS algorithm with an inertial navigation positioning algorithm of an acceleration sensor. Therefore, according to the invention, the indoor positioning problem of the wearable device is effectively solved, real-time accurate positioning of the user in movement can be achieved, and the fusion indoor positioning device is suitable for indoor scenes such as exhibition halls, museums, shopping centers and supermarkets, and is high in usability and practical value.

The invention relates to a single audio frequency testing method based on an embedded system. The method comprises the following steps: firstly classifying an input signal by amplitude, and then effectively judging a computed result of CPU of the embedded system according to the classification, at last gaining a detected result. The invention has the advantages that by utilizing pre-classification of the input signal amplitude, limitation caused by using Goertzel algorithm is well solved, so that the method provided by the invention can decode any kind of input signals with different amplitudes; a total amount of calculation is small, real-time is ensured, and then the requirements of the system for performance of a digital signal processor are reduced.

The invention relates to a pseudo passive power grid impendence recognition system and a method based on a Goertzel algorithm. The system comprises a grid-connected inverter, a sampling module, a control module and a PWM driving module, wherein the grid-connected inverter outputs a current set value into a power grid, the sampling module can sample lineside voltage and current through a voltage sensor and a current sensor, the control module can utilize the Goertzel algorithm to extract harmonic component signals of the sampled lineside voltage and current; finally, the harmonic component signals are utilized to calculate the power grid impendence. The pseudo passive detection method comprises the steps of monitoring power grid impendence and injecting harmonic wave into a power grid to measure power grid impendence when larger change happens. The method has the advantages of higher accuracy and smaller system disturbance. The Goertzel algorithm can effectively reduce a controller calculation amount and storage space and further reduces code complexity. In the occasions when only several frequency points need to be analyzed, the Goertzel algorithm has a higher efficiency than FFT.

The invention discloses a voice squelch method in a civil aviation VHF anti-jamming transceiver. Firstly, the carrier frequency estimation method based on the Goertzel algorithm is used to judge whether there is a signal or whether the quality is good or bad; The voice detection method distinguishes whether there is a voice signal in the signal; secondly, in conjunction with the AM modulation degree judged in real time by the system, the audio squelch threshold is adaptively adjusted to realize the automatic on-off of the demodulated output voice; the method proposed by the present invention can be used in During normal voice communication, there will no longer be intermittent and some special noises that cannot be turned off, which effectively solves the problem of voice communication quality caused by squelch, and improves the output voice quality level of civil aviation VHF anti-jamming transceivers.

Method for evaluating a data-based sensor model (5) for determining a change-point time in a sensor signal time series (S), comprising the following steps: - Providing (S2) an evaluation signal time series (A) in an evaluation time window of a sensor signal time series (S); - Determining (S3) sensor signal segments (F1, F2, F3, F4) from the evaluation signal time series (A) that are temporally shifted or offset from each other by a number of sampling steps, wherein the sensor signal segments (F1, F2, F3, F4) have a shorter length than the evaluation signal time series; - Determining (S4) one or more frequency contributions from the sensor signal segments (F1, F2, F3, F4) using an FFT or a Goertzel algorithm; - Evaluating (S5, S6) the frequency contributions in a trained data-based sensor model (5) to determine a change-point time within the evaluation time window.

The invention discloses an underwater acoustic communication node wake-up signal detection method based on a frame synchronization signal. According to an existing method, due to the influence of impulse noise and specific environmental noise, the reliability of a detection result is not high, and the computational complexity of a frequency detection and cross-correlation detection related methodin the long-time underwater detection process is high. The method comprises the following steps: firstly, constructing a corresponding MT signal for each node in a communication network, setting two equal-length sliding windows at a receiving end to realize preliminary energy provider detection, and then performing MT frequency confirmation on the signal detected by the preliminary energy providerby using a Goertzel algorithm to realize reliable signal arrival detection. The method is suitable for an underwater communication network with a plurality of communication nodes, accurate awakeningof a target node is realized through an MT signal, the calculation complexity is low, and the energy consumption of long-time signal detection of the underwater communication network node in a dormantstate can be reduced.

The invention discloses an ADC50Hz or 60Hz noise filtering method based on a software algorithm, and the method comprises the steps: carrying out the initialization configuration, and collecting original data; preprocessing and acquiring detection data; an improved Goertzel algorithm is used to acquire frequency spectrum parameters; calculating a three-level extraction factor, and sampling the data output by the ADC to obtain sample data; after forward and reverse compensation is carried out on the sample data, pulse noise suppression of a two-dimensional window is carried out on pulse noise; calculating a transmission quality index, and adjusting the size of a filtering window according to the transmission quality index; and carrying out amplitude calibration on the filtering result by using an improved comb algorithm, and outputting a standard signal after noise reduction processing. On one hand, the noise reduction processing scheme does not need to additionally add a filter circuit, so that the circuit size and the hardware cost are reduced; and on the other hand, the parameters in the method can be adaptively adjusted according to the frequency spectrum parameters, so that the adaptability is improved.

The invention discloses an island detection method and system based on a Goertzel algorithm and quality factor entropy dispersion. The method comprises the following steps: acquiring three-phase voltage and current signals of a distributed power generation system; performing double-domain leakage suppression processing on the signal to obtain an accurate fundamental wave parameter; carrying out heavy fundamental wave construction and harmonic signal separation on the accurate fundamental wave parameter to obtain a residual harmonic signal; a Goertzel algorithm is adopted to carry out directional spectrum analysis on specific harmonics in the residual harmonic signals, and the voltage amplitude and the current amplitude of the specific harmonics are obtained; calculating a harmonic impedance amplitude according to the voltage amplitude and the current amplitude of the specific harmonic, and obtaining a quality factor entropy dispersion corresponding to the specific harmonic based on the harmonic impedance amplitude; and carrying out island detection according to the quality factor entropy dispersion corresponding to the specific harmonic wave to obtain a detection result. The load quality factor distribution consistency is quantified by using the information entropy theory, the detection blind area can be reduced, and the detection efficiency and accuracy are improved.

The invention discloses a channel estimation method comprising the following steps of: transmitting a monophonic composite signal with a plurality of interested-frequencies by a signal transmitting terminal according to the promise between the signal transmitting terminal and a signal receiving terminal; rapidly calculating the frequency spectrum of the received signal by using a Goertzel algorithm after the signal receiving terminal receives the composite signal; then, selecting a most correlative experience channel model as a communication channel model after correlation analysis is carried out on all experience channel models; and feeding the selected channel model back to the signal transmitting terminal, wherein the channel model is selected by the signal receiving terminal. Thus, a transmitting signal is pre-emphasized by the signal transmitting terminal according to the selected channel model before transmission to offset channel distortion, and furthermore, the signal receiving reliability of the signal receiving terminal is improved. Channel estimation is realized by using the Goertzel algorithm and a correlation calculation method, so that the channel estimation method is low in calculated quantity, high in speed, high in channel estimation accuracy rate, simple in hardware and easy to be integrated with other communication terminals.

The invention provides a signal processing method and system; the signal processing method comprises the following steps: converting a radio frequency signal received by an antenna into a digital signal; performing multi-channel signal parallel filtering on the digital signal to generate a filtered signal; performing fast fourier transformation on the filtered signal based on a Goertzel algorithmto generate a fourier transformed signal; and carrying out signal power detection on the fourier transformed signal to generate a power detection signal, so as to finish preprocessing of the radio frequency signal received by the antenna. According to the signal processing method and system provided by the invention, the coverage bandwidth is wide, the flexibility is high, and the precision is high. Through the process of setting filtering and the process of fourier transformation, multi-level DDC, PFB, FFT and FIR can be adopted and combined to achieve the best frequency resolution on the FPGA with the same level. By applying the Goertzel algorithm in the fast fourier transform, the operational capability of the fourier transform mode can be improved.

The invention discloses a high-capacity lithium iron phosphate (LFP) battery thermal runaway early-warning method based on gas precipitation characteristics, and relates to a thermal runaway early-warning scheme for a high-capacity LFP battery in the storage and charge-discharge processes, in the early stage of thermal runaway of the battery, characteristic gas is monitored, an improved Goertzel algorithm is introduced to filter concentration signals, and a high-capacity LFP battery thermal runaway early-warning result is obtained. And the precision of single detection is improved. The early warning judgment is realized by utilizing the combination of the early separated VOC and CO2, the concentration value and the concentration rising rate of the VOC are calculated in the time difference of separating out different gases in the operation process of an early warning program, and a plurality of calculation results are compared with a set threshold value, so that a more accurate early warning function is realized.

The invention provides a dual-tone multi-frequency signal multi-channel parallel detection method and system based on an FPGA, and the method comprises the following steps: S1, carrying out the parallel and real-time sampling of a data stream of a dual-tone multi-frequency signal based on the FPGA, and carrying out the mu-law decoding and data caching processing of the dual-tone multi-frequency signal; s2, for any group of data streams, respectively calculating energy values of different frequency components in the row frequency signal and the column frequency signal through an FFT or Goertzel algorithm based on the FPGA, and determining target frequencies of the row frequency signal and the column frequency signal according to the highest energy value; and S3, performing judgment processing on the line frequency signal and the column frequency signal based on the FPGA, and when a judgment result of the line frequency signal and the column frequency signal meets a judgment condition, outputting an effective DTMF key signal. According to the invention, multi-path parallel detection of the dual-tone multi-frequency signal can be realized, and the misjudgment rate and the missed judgment rate of the dual-tone multi-frequency signal in a noise environment can be greatly reduced through a sextuple judgment standard, so that the dual-tone multi-frequency signal detection can maintain excellent real-time performance and robustness.