301 results about "Modulation pattern" patented technology

The invention discloses a data processing chip based on a heterogeneous computing architecture, and relates to the technical field. The data processing chip based on the heterogeneous computing architecture comprises a data processing unit for receiving and preprocessing data to be transmitted; the clustering compression engine is used for carrying out clustering compression processing on the preprocessed data to be transmitted; the modulation and coding control unit is used for carrying out modulation and coding processing on the data to be transmitted after clustering compression processing; the redundant coding unit is used for carrying out redundant coding processing on the modulated and coded data to be transmitted; and outputting the to-be-transmitted data subjected to redundant coding processing to a protocol stack and interface unit of external equipment according to a set communication protocol. Through collaborative design of a clustering compression engine in a chip and a modulation coding control unit, clustering compression aiming at data structure characteristics and modulation strategy matching in a dynamic channel state are realized; the problems of fixed compression and modulation modes and lack of cooperation in the prior art are solved.

The invention relates to the technical field of ultra-far offshore data transmission, and discloses an ultra-far offshore distance real-time data stable transmission method and system. The method comprises the following steps: acquiring target transmission link data, and extracting dynamic fluctuation characteristics containing signal strength distribution information and a delay jitter relationship from the target transmission link data; calling the trained channel estimation network to carry out signal positioning processing on transmission link data, and generating a signal transmission path set containing a channel type identifier and phase code mapping relation; based on the set, calling a waveform analysis network to perform multi-modal feature fusion on the signal intensity distribution information to obtain a fusion result containing time-frequency domain features and modulation mode features; and inputting a fusion result into a transmission strategy model to perform dynamic path selection, and outputting a real-time data transmission element containing a control instruction generated based on a signal transmission sequence and a phase self-calibration parameter. According to the method, stable transmission of real-time data under the ultra-far offshore distance can be realized.

The invention discloses a ship instant messaging method and system, and belongs to the technical field of data processing, and the method comprises the steps: carrying out the signal intensity detection of each communication channel related to a ship, determining a signal intensity detection result corresponding to each communication channel, and determining a target channel according to the signal detection results corresponding to all communication channels, according to the embodiment of the invention, a better channel can be determined for communication, so that the quality of instant communication is ensured, and then the communication signal identification model improved by the information fusion search algorithm is adopted to perform blind identification on the instant communication signal, so that the modulation mode of the instant communication signal can be rapidly identified, and thus rapid demodulation is realized, and the communication quality is further improved.

The disclosure provides a method for improving the efficiency of a micro-inverter, and a dual-active-bridge-type micro-inverter. The method including: performing power modulation mode switching of a dual-active-bridge-type micro-inverter, such that the power is bi-directionally transmitted from a direct-current side to an alternating-current side and from the alternating-current side to the direct-current side, thereby reducing an effective value of a secondary side current of a transformer; and according to the modulation mode switching characteristic of the dual-active-bridge-type micro-inverter within a power frequency period, performing hybrid optimization on the turn ratio of a primary side to a secondary side and a transformer leakage inductance of a high-frequency transformer of the dual-active-bridge-type micro-inverter.

The invention relates to a non-cooperative communication signal modulation identification method based on multi-scale feature fusion extraction, which belongs to the technical field of cognitive radio communication, and comprises the following steps: generating time domain signals of communication signals in different modulation patterns, and preprocessing to obtain a plurality of baseband IQ signals as sample data; forming a communication signal data set with the corresponding modulation pattern as a sample label; initializing a multi-scale feature fusion extraction network model, and training the multi-scale feature fusion extraction network model by using the modulation signal data set to obtain a trained multi-scale feature fusion extraction network model; and obtaining a time domain signal of a non-cooperative communication signal in real time, performing preprocessing, inputting the trained multi-scale feature fusion extraction network model, and obtaining a recognition result of a corresponding time domain signal modulation pattern. Accurate and efficient identification of the non-cooperative communication signal modulation pattern is realized.

The invention relates to a signal-to-noise ratio adaptive signal modulation identification method. The method comprises the following steps: inputting IQ information and a signal-to-noise ratio (SNR) estimated value of a signal into a signal modulation identification model, and identifying to obtain a modulation mode of the signal; the signal modulation identification model is an MCLDNN of which the feature fusion module is provided with an SNR attention module; the SNR attention module can receive the SNR estimated value and obtain a signal-to-noise ratio attention weight according to the SNR estimated value; receiving a signal multi-channel fusion feature map output by the multi-channel fusion convolutional layer of the MCLDNN; weighting the signal multi-channel fusion feature map by using a signal-to-noise ratio attention weight, connecting the weighted signal multi-channel fusion feature map with a signal multi-channel fusion feature map residual error, and outputting a multi-channel fusion feature combined with SNR attention; and the multi-channel fusion features combined with the SNR attention are input to a time sequence module of the MCLDNN.

The invention discloses a three-dimensional phase unwrapping method based on nonlinear phase coding, which comprises the following steps of: 1, constructing a wavelength-De Bruijn element mapping table, and generating a non-equal period phase shift stripe group; 2, projecting the phase shift fringes to a measured object frame by frame, obtaining a modulation pattern, and decoding the modulation pattern to obtain a non-linear wrapped phase; 3, constructing an approximate phase to carry out local phase unwrapping on the nonlinear wrapped phase to obtain a nonlinear local phase; and 4, screening out a phase candidate point and a candidate phase order of a nonlinear local phase by using a three-dimensional phase matching method. And step 5, using the phase candidate points to guide the nonlinear local phase to perform phase correlation matching so as to screen out a unique phase order, thereby realizing phase unwrapping. According to the method, a novel phase distortion characteristic is introduced, and a plurality of sine fringes with different wavelengths are used for serial coding according to a DB sequence. In a decoding stage, robust phase disambiguation is achieved by minimizing a local phase difference in left and right views. And high-precision measurement can be realized only by using three projection patterns, so that the three-dimensional measurement efficiency is greatly improved.

The invention belongs to the technical field of underwater acoustic communication signal and digital signal processing. The invention provides a multi-domain feature fusion underwater acoustic communication modulation mode autonomous discrimination method. According to the embodiment of the invention, the data is preprocessed, and the orthogonal component and the in-phase component of the communication signal are extracted and input into a time domain network branch. And the frequency domain waveform obtained after Fourier transform is carried out on the signal is input into a frequency domain network branch. And inputting a time-frequency diagram obtained by performing continuous wavelet transform on the signal into a time-frequency diagram network branch. And carrying out correlation calculation on the time domain network branch, the frequency domain network branch and the continuous wavelet transform time-frequency graph network branch, and carrying out weighted fusion on the spliced network branches to obtain features. And after feature fusion is completed, the modulation modes of the underwater acoustic communication signals are classified through a full connection layer and a softmax layer. Feature information of a time domain, a frequency domain and a wavelet packet time-frequency graph is used as neural network input, feature results are fused flexibly, and robustness of underwater acoustic communication signal modulation mode autonomous recognition is improved.

The invention discloses a multi-modulation-mode power converter and a switching control circuit thereof. The switch control circuit comprises a reset circuit used for generating a reset signal according to a current detection signal representing an inductive current of the power converter and an error signal of a feedback loop of the power converter; the setting circuit is used for generating a setting signal according to the error signal; the RS trigger is used for generating a switch control signal of a switch tube in the power converter according to the reset signal and the set signal; the mode selection circuit is used for comparing the error signal with a switching reference voltage to generate a mode selection signal, and the reset circuit and the setting circuit respond to the mode selection signal to switch internal signal paths respectively, so that the power converter selectively works in one of a PFM mode and a COFT mode. The switch control circuit can adaptively work in one of a PFM mode and a COFT mode according to load conditions, and smooth mode switching can be realized when the COFT mode is switched to the PFM mode.

The invention discloses a low-cost three-dimensional live-action measurement and holographic reconstruction method and system for fringe projection, and the method comprises the steps: sequentially capturing at least three first object modulation images and five second object modulation images, which are obtained after sine and Gray code fringe patterns are modulated by the surface depth of an object to be measured, through a projector and a first camera; reconstructing three-dimensional shape information by using a multi-step phase shift method and a complementary Gray code phase unwrapping method to obtain a depth map of the surface of the object to be measured; according to the holographic reconstruction method, the obtained depth map is used, a projector and a first camera are used for obtaining an intensity map of the surface of an object to be measured when no projection fringe pattern exists, the intensity map is divided into a plurality of slice images in the depth direction of the depth map, sub-holograms are obtained according to an iterative Fresnel algorithm and a fast Fourier transform algorithm, and the sub-holograms are reconstructed. And after superposition and phase extraction, a phase hologram is obtained. According to the invention, the depth map can be simply, conveniently, efficiently and losslessly obtained with low cost and high precision, and popularization and application of the digital holographic technology are facilitated.

The invention relates to the technical field of object imaging, and discloses a single-pixel imaging method, system, medium and equipment for object motion trail repetition. The method comprises the following steps: generating a modulation pattern sequence with different spatial distributions according to a preset imaging image reconstruction algorithm, and inputting the modulation pattern sequence into a light modulation device; the track detection device sends a track pulse signal, the light modulation device is synchronously triggered to carry out light modulation, the light modulation device simultaneously sends a modulation pulse signal, and the multichannel signal synchronous acquisition device is synchronously triggered to receive a plurality of sampling values; selecting a target sampling value from the sampling values as an imaging image reconstruction sampling value; performing image reconstruction by using the imaging image reconstruction sampling value sequence to generate a single imaging image of the to-be-imaged object; and repeating the steps until the number of the generated imaging images reaches a preset number. The imaging system provided by the invention has the capability of carrying out continuous long-time imaging on a high-speed motion trail repeated object with variable motion speed.

The invention relates to the technical field of data processing, and discloses a signal intra-pulse modulation pattern recognition method and system, and the method comprises the steps: receiving a radar pulse signal; performing short-time Fourier transform on the radar pulse signal; in the time-frequency matrix, calculating an energy distribution gradient of each time point along a frequency axis; according to the energy distribution gradient of each time point, identifying gradient abrupt change points; determining a filtering bandwidth boundary based on the gradient catastrophe point by adopting a negative feedback regulation mechanism of bandwidth and signal-to-noise ratio; based on the filtering bandwidth boundary, performing bandwidth filtering on the radar pulse signal; calculating an instantaneous frequency, a first-order differential frequency and a second-order differential frequency of the filtered signal through Hilbert transform, and forming a feature vector; predicting a cluster number range through a long and short term memory neural network according to the feature vectors; according to the feature vector, through a K-Means clustering algorithm, carrying out clustering analysis in a clustering number range; and outputting a modulation style label according to a clustering analysis result.

The invention discloses a specific protocol signal generation method based on an automatic tracking decision, and solves the problem of constructing an anti-interference performance test of a vivid communication signal or constructing a real-time dynamic complex electromagnetic environment in a real-time dynamic change scene. According to the method, after signal detection and threshold judgment are carried out, pre-processing such as carrier adjustment and filtering is carried out on target signal data, transmission identification and modulation pattern identification are carried out on segmented target signals, and parameter information of time domains, frequency domains and modulation domains such as a signal transmission system and a transmission stage is extracted. Signal generation resource allocation and strategy evaluation of optimized output waveform are carried out according to parameter information of the obtained target signal, signals of transmission system parameters are generated according to a generation strategy, and meanwhile information changes of a target signal transmission system, modulation parameters and the like are continuously tracked. According to the method, target signals are automatically tracked, signals of specific protocol signal stages and signal waveforms are generated in real time, and the method can be used for construction of a communication system test environment and a dynamic complex electromagnetic environment.

The invention relates to a power line carrier signal modulation method based on channel measurement. In the method, a source node sends a full-band signal first signal covering a target spectral range, then receives signal-to-noise ratio data of each resource group sent by a destination node, and finally configures a modulation mode according to the signal-to-noise ratio of each resource group, thereby realizing dynamic configuration of the modulation mode of the resource group. And the method can adapt to a complex and changeable power line channel environment. According to the dynamic configuration modulation mode based on the signal-to-noise ratio, on one hand, actual channel quality measurement information can be fully utilized to realize maximum-rate transmission, and on the other hand, the modulation mode is matched with the channel quality, so that the anti-noise capability is high, and the reliability and accuracy of signal transmission are improved.

The invention relates to the technical field of power electronics, and discloses a hybrid device driving circuit, system and control method.The hybrid device driving circuit comprises a DSP module, an FPGA module, a hybrid device driving module and a mode switching comparison module, and the mode switching comparison module obtains a real-time voltage signal on a load; comparing the real-time voltage signal with a preset reference voltage of each modulation mode, and outputting a mode switching signal; the FPGA module determines a target modulation mode of a PWM signal output by the DSP module based on the mode switching signal, and processes the PWM signal into a target PWM signal corresponding to the target modulation mode; and the hybrid device driving module respectively controls the on and off of the IGBT and the SIC MOS tube based on the target PWM signal, and adjusts the real-time voltage signal under the action of the on and off of the IGBT and the SIC MOS tube so as to drive the load. The problems that an existing hybrid device driving circuit is low in precision and large in loss in control over a delay switch of a switching device are solved.

The invention provides a modulation mode switching synchronous rectification soft switching buck type constant voltage power supply which comprises an input filter circuit, a power inductor L1, an output filter circuit, a main switch tube Q1, a synchronous rectification tube Q2 and a control circuit. The left end of the power inductor L1 is connected to the source electrode of the main switch tube Q1 and the drain electrode of the synchronous rectifier tube Q2, the right end of the power inductor L1 is connected to the positive electrode of the output capacitor, the drain electrode of the main switch tube Q1 is connected to the positive electrode of the input capacitor, and the source electrode of the synchronous rectifier tube Q2 is connected to a reference ground through a power inductor current sampling resistor RS1; and the control circuit respectively controls the on-off states of the main switch tube Q1 and the synchronous rectifier tube Q2 so as to realize zero-voltage conduction of the synchronous rectifier tube Q2. Through the characteristics of different modulation modes, light-load and heavy-load modulation mode switching and synchronous rectifier tube soft switching are realized, and the loss of the switching power supply under different conditions is reduced.

The invention relates to a dual-mode communication carrier signal modulation method and device based on an OFDM (Orthogonal Frequency Division Multiplexing) system, and the method comprises the steps: obtaining the signal-to-noise ratio of a plurality of subcarriers transmitted by a receiving end, and recognizing at least one target subcarrier of which the signal-to-noise ratio of the plurality of subcarriers is in a configured frequency band range, determining a target modulation mode according to the average value of the signal-to-noise ratio of the at least one target subcarrier; determining the bit mutual information of each target subcarrier according to the target modulation mode and the signal-to-noise ratio of the at least one target subcarrier, and correcting the bit mutual information of each target subcarrier based on the configured diversity times to obtain the corrected bit mutual information of each target subcarrier; calculating a bit mutual information average value according to the corrected bit mutual information of each target subcarrier, and determining a code rate of the to-be-modulated data based on the bit mutual information average value; and modulating the to-be-modulated data according to the code rate of the to-be-modulated data, the target modulation mode, the configured diversity times, the configured frequency band range and the target subcarrier.

The invention relates to the technical field of energy storage converters, in particular to a three-level inverter DPWM and SVPWM smooth switching method and system, a medium and equipment, and the method comprises the steps: determining a current modulation mode which comprises the SVPWM and the DPWM; a first modulation coefficient and a second modulation coefficient are set, the first modulation coefficient corresponds to the weight of the SVPWM common-mode voltage, the second modulation coefficient corresponds to the weight of the DPWM common-mode voltage, and the sum of the first modulation coefficient and the second modulation coefficient is constantly 1; determining values of a first modulation coefficient and a second modulation coefficient based on the current modulation mode in response to a switching instruction of switching from the current modulation mode to a target modulation mode; and combining the three-phase SPWM modulation wave, the first modulation coefficient, the SVPWM common-mode voltage, the second modulation coefficient and the DPWM common-mode voltage to generate a total modulation wave. According to the invention, non-stop switching of SVPWM and DPWM is realized, fast and stable neutral-point voltage and smooth transition of neutral-line current and three-phase current are ensured when two modulation modes are switched, and the smooth transition requirement of mode switching is met.

The invention provides a time domain mapping encryption imaging method and system based on an event camera, and belongs to the field of computer vision hardware encryption imaging. The method comprises the steps that a receiver builds an asynchronous time domain mapping imaging system and constructs a space coding secret key sequence, then obtains an SLM modulation pattern sequence, obtains a noise SLM modulation pattern sequence and sends the SLM modulation pattern sequence to a sender; and the receiver carries out calibration based on the SLM modulation pattern sequence to obtain a space decoding secret key sequence. And the sender obtains the imaging event information and the encrypted time decoding secret key sequence based on the noise SLM modulation pattern sequence and sends the imaging event information and the encrypted time decoding secret key sequence to the receiver. And the receiver obtains a fragmented grey-scale map based on the spatial decoding secret key sequence and the received information, and then obtains a dense and complete grey-scale image through a video completion network based on the fragmented grey-scale map. According to the invention, real-time encryption can be realized, and the leakage risk before encrypted information transmission is reduced; moreover, the method is not sensitive to the collection environment, is high in decoding efficiency, and is low in implementation difficulty.

The invention belongs to the related technical field of power electronic converters, and discloses an LLC resonant converter light load smooth transition control method and system, and the method comprises the steps: carrying out the PI calculation according to the real-time output voltage of an LLC, and obtaining a pre-output frequency; if the pre-output frequency is greater than or equal to the maximum output frequency, entering a second working mode; at the moment, the actual output frequency is set to be the maximum output frequency, and the duty ratio of intermittent control is set according to the exceeding degree of the pre-output frequency relative to the maximum output frequency; a PFM modulation signal is generated according to the actual output frequency, a burst signal is generated according to the intermittent control duty ratio, and a driving signal is generated according to the PFM modulation signal and the burst signal to control the LLC resonant converter. The control requirements of the PFM modulation mode under the normal working condition and the burst mode under the light-load working condition can be met by using one set of PI control parameters, and smooth transition of light-load control is achieved.

The invention relates to the technical field of power electronics, and discloses a dynamic regulation and control method and system for an active clamping three-level converter adapting to working condition changes, and the method comprises the steps: calculating the loss sample data of each power device in different modulation modes through obtaining the historical data of characteristic parameters under different working conditions; calculating the junction temperature of the power device based on the loss in the hybrid modulation mode; with the minimum junction temperature distribution imbalance degree as a target, calculating a hybrid modulation coefficient, and constructing a neural network model; after operation parameters of a power device are collected in real time, the optimal modulation coefficient is obtained based on the model, the modulation mode of the converter is dynamically adjusted, and loss distribution is optimized. According to the method, the loss distribution characteristic and efficiency of the converter under all working conditions can be improved, and the loss balance performance is optimized.

A deep learning-enabled system for the display or projection of high-resolution images is disclosed that is based on a jointly-trained pair of an electronic encoder network and an all-optical decoder network to synthesize / project super-resolved images using low-resolution wavefront modulators. The electronic encoder network rapidly pre-processes the high-resolution images of interest so that their spatial information is encoded into low-resolution (LR) modulation patterns, projected via a low SBP wavefront modulator. The all-optical decoder network processes this LR encoded information using thin transmissive layers that are structured using deep learning to all-optically synthesize and project super-resolved images at its output FOV. Results indicate that this diffractive image display system can achieve a super-resolution factor of ˜4, demonstrating a ˜16-fold increase in SBP. The system can be scaled to operate at visible wavelengths and be used for large FOV and high-resolution displays that are compact, low-power, and computationally efficient.

A DC-DC converter circuit includes an error amplifier, a comparator, an oscillator, and a control circuit. The error amplifier is configured to generate an error signal. The control circuit is coupled to the error amplifier, the comparator, and the oscillator. The control circuit is configured to generate an oscillator control signal to control a frequency of the oscillator based on the error signal, and to generate a peak control signal provided to the comparator based on the error signal. The control circuit is also configured to switch, based on the error signal, between a first modulation mode and a second modulation mode during a transition mode, and in the transition mode, generate the oscillator control signal based on the peak control signal and the error signal.

Methods, apparatuses, and computer readable media for signaling with unequal and finer MCSs, where an apparatus of an AP is configured to: encode a user field for a MU MIMO allocation, the user field comprising a station (STA) identification (ID) (STA-ID) subfield, a modulation and coding scheme (MCS) subfield, a spatial configuration subfield, and a Low-Density Parity Check (LDPC) subfield, the STA-ID subfield identifying a STA associated with the AP. The wireless devices are configured for signaling unequal and finer MCSs, modulation patterns, 2×LDPC, and 1×LDPC.

The invention relates to the technical field of radars, in particular to a low-interception-probability radar waveform design method and device, and the method comprises the steps: obtaining a preset MDP tuple; constructing a Markov decision model framework based on a preset MDP tuple, wherein the Markov decision model framework comprises a design framework corresponding to the power adopted for constructing a radar waveform and the complexity of a radar waveform intra-pulse modulation pattern; performing reinforcement learning on the Markov decision model framework in a strategy optimization direction taking maximization of long-term accumulated rewards as a target to obtain a reinforcement learning optimization model of radar waveform design; and solving the reinforcement learning optimization model of the radar waveform design by using a model-free Q-learning algorithm to obtain the design parameters of the radar wave, thereby realizing the intelligent design of the low-interception probability radar waveform in the complex electronic countermeasure environment, and improving the concealment and detection performance balance capability of the radar in the unknown countermeasure environment.

The invention relates to a modulation identification method and device based on a multi-mode residual attention network, and the method comprises the steps: obtaining modulation signal data to be identified; performing energy normalization and amplitude and phase data calculation processing on the modulation signal data to be identified to obtain amplitude data and phase data of the modulation signal to be identified; inputting the data into an intelligent identification network model to obtain a modulation mode of the modulation signal data to be identified; wherein the intelligent identification network model comprises a multi-modal feature fusion module, an ECA-based residual network module, a feature pyramid network module and a classification module. According to the method, the identification of more modulation types can be realized, the length of the signal is not limited, the problems of low accuracy and poor anti-noise performance of a traditional modulation identification method are solved, and meanwhile, the workload and the uncertainty of manually designing characteristic parameters are reduced.

Optically computed phase imaging systems and methods are provided. An example system includes an interferometer configured to output 3D spatial-spectral data of a sample including an interferometric signal and an optical computation assembly having a spatial light modulator configured to modulate the 3D spatial-spectral data with a modulation pattern. The modulation pattern modulates the interferometric signal along a spectral dimension to select a depth to obtain a sample signal at the selected depth and modulates the interferometric signal along a first spatial dimension to create a waveform to facilitate phase extraction. The system further includes a detector configured to detect 2D spatial data of the sample. The system further includes a processor coupled to a memory, the processor configured to process the 2D spatial data to extract phase information of the sample.

Various embodiments comprise a system to sense magnetic fields along x, y, and z measurement axes of a single-beam magnetometer. The x-axis is parallel to the propagation direction of the magnetometer light beam while the y and z axes are orthogonal to the light beam and to each other. The system comprises processing circuitry that processes the signal from the magnetometer to generate a z-axis control signal for a z-axis compensation coil. The processing circuitry processes the signal to generate a y-axis control signal for a y-axis compensation coil. The processing circuitry modifies y-axis current to drive the y-axis compensation coil based on the y-axis control signal and a modulation pattern. The processing circuitry delivers the modified y-axis current to the y-axis compensation coil to mitigate background magnetic field. The processing circuitry estimates magnetic field components along the x-axis based on the z-axis control signal and the modulation pattern.

The invention relates to the technical field of motor harmonic suppression, in order to solve the known problem of motor harmonic, in particular to a PWM harmonic suppression method for a vehicle permanent magnet synchronous motor driving system, which comprises the following steps of: (1) acquiring three-phase stator current signal data of the vehicle permanent magnet synchronous motor driving system; (2) amplitude information of fundamental waves and harmonic components of all orders is extracted based on the three-phase signal data in the current analysis window; (3) constructing a plurality of PWM modulation mode candidate sets in a system control logic, and randomly generating a new candidate PWM mode according to a transition probability rule; (4) constructing a performance difference index between the current state and the candidate state for the generated candidate PWM control mode, and judging whether the candidate PWM mode is accepted as a new current state or not; (5) performing multiple rounds of global search and strategy screening, and finally enabling the system to approach the optimal PWM control state; and (6) the system generates a PWM driving signal according to the optimal strategy to drive the permanent magnet synchronous motor to operate stably.

To provide a device that allows stable observation of an observation object.SOLUTION: An observation device 1A is a device for observing an observation object S, and comprises a light source 11, a beam splitter 12, mirrors 13, 14, a beam splitter 15, a modulation unit 21, lenses 31-34, an imaging unit 41, and a processing unit 42. The modulation unit 21 receives input of first branch light L1 arriving from the mirror 13, and applies spatial amplitude modulation to the input first branch light L1 on the basis of a modulation pattern to obtain first branch light including a plurality of light components different from each other in wavenumber components in an x direction. The modulation pattern of the modulation unit 21 moves in a predetermined direction (x-axis direction) intersecting a propagation direction (z-axis direction) of the first branch light L1. The processing unit 42 creates complex amplitude images when the observation object S is irradiated with the plurality of light components on the basis of detection signals repeatedly output from the imaging unit 41.SELECTED DRAWING: Figure 1