18results about "Dot-and-dash receiving apparatus" patented technology

The invention discloses a two-stage Morse signal automatic processing method based on time-frequency analysis, which comprises two stages of Morse signal automatic detection and Morse signal automatic identification, and is characterized in that the Morse signal automatic detection judges whether an input signal is a Morse signal or not: if not, the processing process is ended, and a detection result of a non-Morse signal is given; if yes, entering a second stage, and performing subsequent Morse signal automatic identification processing, the Morse signal automatic identification stage having two functions: 1, decoding an input signal; and secondly, the WPM of the signal is automatically estimated. By means of the mode, whether the current input signal is the Morse signal or not can be automatically judged, an identification decoding result is further given, manual intervention is not needed in the whole process, a traditional manual copying and reporting mode is effectively replaced, and urgency of the automatic processing requirement of the Morse signal is relieved to a certain degree.

The invention provides a digital Reikang and a display method and system on a marine radar screen, and the method comprises the steps: replying a digital signal identification code containing a Reikang identity through wireless communication after the Reikang receives a main lobe trigger signal of a radar; and the radar decodes the digital signal identification code after receiving the digital signal identification code of the Reikang, and generates and displays a corresponding Morse code pattern in the radial outward direction at the screen position of the Reikang according to the distance and orientation of the Reikang acquired by the radar.

The invention relates to the field of Morse telegraph communication, and discloses an AI-driven Morse telegraph automatic reading and sending method and system, which realize automatic sending and automatic reading in the Morse telegraph communication process in the field of short-wave communication. The method is realized through a full-automatic message reading and sending process: automatically sending a message, converting a message text into a Morse code sequence, and controlling a radio station to send the Morse code sequence; automatically copying and reporting, sampling a Morse audio signal output by a short-wave radio station, and decoding, reasoning and predicting a message text based on an AI model; in communication control, a half-duplex communication protocol is adopted to coordinate a full-automatic transceiving process. The invention also designs an AI-driven Morse telegraph automatic reading and transmitting system, which comprises a central processing module for executing half-duplex communication protocol logic; the telegraph sending module is used for controlling the PTT interface of the radio station to generate a pulse for sending a telegraph; the telegraph receiving module is used for converting the Morse analog audio signal into a digital audio signal; and the AI decoding module is used for reasoning and predicting a message text through a training model.

The telephone transceiver control terminal of the telephone minimum communication system belongs to the field of communication control technology, and particularly relates to a telephone transceiver control terminal of a telephone minimum communication system. The present invention provides a telephone transceiver control terminal of a telephone minimum communication system. The present invention includes a transmitting controller and a receiving controller, characterized in that the signal input port of the transmitting controller is connected to the signal output interface of the telephone, the signal input port of the receiving controller is connected to the signal input interface of the telephone, and the signal output port of the receiving controller is connected to the control signal input port of the control part of the telephone ring.

The invention discloses an automatic Morse telegram communication method, which adopts a half-duplex communication mode and realizes automatic communication of Morse telegrams. The method comprises a link building communication stage and a text communication stage, a long code message format is adopted in the link building communication stage, and a short code message format is adopted in the text communication stage. In the link establishment communication stage, a double-layer CRC (Cyclic Redundancy Check) check, response confirmation and timeout retransmission mechanism is adopted to ensure reliable transmission of information; in the text communication stage, sub-package transmission and a unified response mechanism are adopted, and it is ensured that both real-time performance and reliability are considered in text transmission. The method effectively fills the blank of an automatic Morse telegraph communication protocol, and is suitable for application scenes needing automatic Morse telegraph communication, such as military, emergency rescue and the like.

An invisible light sensing device senses invisible light from a plurality of invisible light emitting or reflecting objects in which each of the invisible light emitting or reflecting objects emits or reflects invisible light in an identification pattern that is distinct from other identification patterns. An identification pattern is based on a sequenced pulsing pattern of invisible light that is emitted by an invisible light emitting object to form the identification pattern. An identification pattern is also based on an invisible light reflective coating that is applied to an invisible light reflecting object.

A voice wake-up method is provided. The method includes: collecting a first voice signal in an environment in which the first electronic device is located. If audio is being played in the environment when the first voice signal is collected, obtaining, in a wired or wireless communication manner, an audio signal corresponding to the audio, determining a first false wake-up result based on the first voice signal and the audio signal; receiving a second false wake-up result sent by the second electronic device; determining a third false wake-up result based on the first false wake-up result and the second false wake-up result; wherein the third false wake-up result is used to indicate whether a wake-up operation needs to be performed on a to-be-woken-up device in a local area network; sending the third false wake-up result to another electronic device other than the first electronic device in the local area network.

The utility model discloses an automatic transceiving and decoding circuit for wireless telegraph signals, which comprises an ARM (advanced RISC machines) processor, a DSP (digital signal processor), an interface circuit and an audio output module. The DSP, the interface circuit and the audio output module are electrically connected with the ARM processor. The ARM processor is used for transmitting, receiving and decoding a hand key report signal and transmitting and receiving a datagram and an electronic key signal; the DSP processor is used for decoding the datagram and the electronic key signal; the interface circuit is used for inputting and outputting hand key, electronic key and datagram signals, and the audio output module outputs audio signals of the hand key or the electronic key. According to the utility model, the circuit simultaneously has the functions of automatically receiving and transmitting the hand key, the electronic key and the datagram, the DSP and the ARM processor are used, the integration level of circuit hardware is high, the whole circuit is small in size, low in cost and wide in application scene, and the circuit can replace a single hand key and a single electronic key and is applied to various radio communication scenes.

The invention discloses an improved CTC Morse signal fast decoding method, which comprises the following steps: carrying out short-time Fourier transform on extracted Morse signal data to obtain a time-frequency matrix, extracting one-dimensional features of Morse signals in the time-frequency matrix, and forming a training set by tags corresponding to the one-dimensional features; constructing a deep learning framework, wherein the deep learning framework comprises a deep residual shrinkage module, a full connection layer and a softmax structure; a middle layer of the deep residual shrinkage module is output through a full connection layer and a softmax structure to serve as a sub-model, CTC loss of the sub-model is calculated and weighted with CTC loss of a full model to serve as a loss function, and a network model is trained; and inputting the extracted one-dimensional features of the Morse signal time-frequency matrix into the trained network model, and performing CTC-based decoding post-processing on the output to obtain a decoding result. According to the method, the CTC loss of the full model and the loss of the sub-model are combined for training, so that the calculation overhead is very low, and the decoding accuracy can be effectively improved.

The utility model discloses an automatic transmitting and receiving system for uniform-amplitude communication signals, which comprises a signal transmitting end and a signal receiving end, the signal transmitting end is in signal connection with the signal receiving end, and the signal transmitting end comprises a transmitter and a modulator. The signal receiving end comprises a receiver, a demodulator, a speech synthesis system, a processor and an error correction system. According to the utility model, the signal receiving end and the signal sending end are used for realizing automatic receiving and sending of the constant-amplitude communication signals, the voice synthesis system and the error correction system are additionally arranged in the signal receiving end, and the voice synthesis system can enable received information to be output through voice. This is very useful for visually impaired persons or in the case where it is inconvenient to read a screen, users can directly listen to information without manual decoding, saving time and effort, and voice output makes the system more friendly to users of different levels of ability, including those who may not be familiar with Morse codes.

The application discloses a method for quickly decoding a morse signal of a CTC, comprising the following steps: performing short-time Fourier transform on extracted morse signal data, obtaining a time-frequency matrix, extracting one-dimensional features of the morse signal in the time-frequency matrix, and constructing a training set by corresponding labels; constructing a deep learning framework, including a deep residual shrinkage module, a full connection layer and a softmax structure; outputting the deep residual shrinkage module through the full connection layer and the softmax structure, taking the output as a sub-model, calculating the CTC loss of the sub-model, weighting the CTC loss of the full model, taking the weighted CTC loss as a loss function, and training a network model; inputting the one-dimensional features of the extracted morse signal time-frequency matrix into the trained network model, performing CTC decoding-based post-processing on the output, and obtaining a decoding result. The application combines the CTC loss of the full model with the loss of the sub-model for training, has very small calculation overhead, and can effectively improve the decoding accuracy.

This application relates to the field of communication technology, and in particular to a message training method and system based on attention mechanism and recurrent neural network. The method includes acquiring audio input data, processing the audio input data sequentially to obtain a high-dimensional time-frequency feature sequence; inputting the high-dimensional time-frequency feature sequence into a convolutional neural network to obtain a semantic feature map; performing parallel heterogeneous dual-branch processing on the semantic feature map, obtaining attention-weighted features through a convolutional attention module and context-aware features through a bidirectional long short-term memory network; using adaptive feature fusion to assign weights and fuse the attention-weighted features and context-aware features to generate a unified feature representation, and mapping it to the probability distribution of the corresponding character at each time step; using connectionist temporal classification to decode the probability sequence and output the decoded character sequence. The method can adapt to different firing habits, has strong anti-interference ability, and achieves high-precision and stable end-to-end decoding.

The present application discloses a method and device for adjusting the wake-up window length, which relates to the technical field of wireless network connection. By periodically and dynamically adjusting the wake-up window length adapted by each STA, while receiving as many beacon frames as possible to the greatest extent, the STA still remains at a low power consumption level. The main technical solution of the present application is as follows: Determine a proportional value according to the actual value of the received beacon frame and the preset reference value in the first detection period; Based on the length of the current wake-up window and the proportional value, adjust the current wake-up window to obtain a target wake-up window; Receive beacon frames according to the target wake-up window.

The invention discloses an end-to-end hand-sent constant-amplitude telegraph decoding system based on deep learning, the system comprises: a preprocessing module for denoising a signal and obtaining its time-frequency matrix; an end-to-end recognition model for extracting features from the time-frequency matrix obtained after preprocessing, sequentially comprising an FC-N layer, a Bi-LSTM layer, a fully connected layer, a Softmax layer and a CTC layer, and obtaining an output sequence of each frame after model processing, and then obtaining a predicted message through integration. The invention can accurately decode hand-sent constant-amplitude telegraphs.

This invention relates to the field of Morse communication and discloses a method, apparatus, device, and storage medium for recognizing Morse signals. These methods alleviate the pressure of manual decoding of Morse signals and further improve the accuracy of Morse signal recognition under various interference conditions. The method includes: converting the received Morse signal into a corresponding time-frequency image using wavelet transform; dividing the time-frequency image into corresponding multi-frame sub-images at equal intervals, and using a 3D convolutional layer to extract and fuse the spatiotemporal features of the continuous multi-frame sub-images; inputting the spatiotemporal features into a preset bidirectional convolutional long short-term memory network model for recognition and prediction training to obtain a batch of target feature sequences predicted from the model; and decoding and transcribing the target feature sequences predicted from the model using a connection-time classification method to obtain the decoded Morse signal.

The embodiment of the invention discloses a vehicle communication system which comprises an encoder, a vehicle-mounted processor, a vehicle body controller and vehicle body lamplight, the encoder is used for encoding acquired to-be-sent text information based on a Morse password to obtain an encoding result, and the vehicle-mounted processor is used for determining a lamplight signal according to the encoding result and sending the lamplight signal to the vehicle body controller. And the vehicle-mounted processor is used for controlling the vehicle body light through the vehicle body controller according to the light signal, so that the vehicle body light works according to the light signal. The embodiment of the invention further provides a communication method of the vehicle and the vehicle.

The application discloses a Morse code signal light system, which comprises a transmitting optical system for transmitting a Morse code light signal, a receiving optical system for receiving the transmitted Morse code light signal, and an automatic encoding and decoding electrical control system for controlling the transmitting optical system to transmit the Morse code light signal to transmit Morse code information according to input Morse code information content, for converting the Morse code light signal into readable character signals, and for controlling the 360-degree rotating two-dimensional rotating table to rotate to a specified direction to realize all-directional signal transmission of the Morse code signal light. The Morse code signal light system has high integration, the transmitting optical system can dynamically adjust signal light intensity and irradiation range according to environmental conditions and target acceptance range, and has strong self-adaptability. In addition, the automatic encoding and decoding are realized by using a single-chip microcomputer, and the Morse code signal light system has high automation.

The invention relates to the technical field of signal processing, in particular to a Morse code decoding device and method for short-wave radio CW signals. The device comprises a filtering gain module, a full-wave rectification module, a smooth filtering module and a signal conversion and decoding module for CW signals. Wherein the filtering gain module is used for receiving, filtering and gain-controlling CW signals; the full-wave rectification module is used for converting an alternating-current constant-amplitude wave signal of the CW signal into a one-way pulsating direct-current signal; the smooth filtering module is used for optimizing the smoothness of the unidirectional pulse direct current signal; and the signal conversion and decoding module is used for converting the analog signal into a digital signal and decoding and outputting the digital signal. The filtering gain module is in communication connection with the full-wave rectification module, the full-wave rectification module is in communication connection with the smooth filtering module, and the smooth filtering module is in communication connection with the signal conversion and decoding module. The device can improve the decoding efficiency and accuracy, is simple in structure and low in cost, and can adapt to various application scenes.