1031 results about "Digital signal processor" patented technology

High-level synthesis (HLS) is a complex design flow that exploits the benefit of modern language features such as loops, inheritance, templates, etc. for rapid prototyping of hardware designs. Hardware engineers explore various design space parameters in a time-consuming trial-and-error approach to meet a target design specification. This invention provides a framework where machine learning methods are integrated with Bayesian optimization (BO) to accelerate hardware design in HLS. This tool is built around the context of HLS pragma exploration and kernel transformation. It can produce best set of pragma installments to determine parameters by optimizing on multi-objective functions, such as reduction of digital signal processor, flip-flop, look-up table, power consumption, and latency. The method uses classical deep neural network and quantum neural network for reinforcement meta learning to predict the synthesis characteristics and synthesizability under a given time budget. A large language model can also assist transpilation to modify the original codes so that the best tradeoff between hardware complexity, latency, and power consumption is realized.

The invention discloses a high-precision laser ranging system and method based on multi-frequency modulation, and relates to the field of laser ranging, and the system comprises a multi-frequency laser transmitting module which comprises generators of different frequency bands and can be independently regulated, rapidly switched and matched with a high-precision frequency modulation unit; the laser receiving and signal conditioning module is used for processing signals by using an avalanche photodiode, a low-noise preamplifier and the like; the signal processing and analyzing module is used for calculating the distance by means of a high-speed digital signal processor in combination with a multi-frequency distance measurement algorithm; a display and control module and a temperature compensation module are further included, the method comprises the steps of multi-frequency laser emission, receiving conditioning, signal processing, display control and temperature compensation, and high-precision distance measurement is achieved through fine operation according to environment and target characteristics. The method is high in distance measurement precision, and error compensation in a complex environment exceeds 90%; the adaptability is high, and automatic adjustment is achieved in different distances and environments; the real-time performance is good, and a result can be obtained within 10 milliseconds; operation is convenient, wireless and data management is supported, and laser ranging innovation is promoted.

The invention provides a design method and system for a high-integration-level low-power-consumption radio frequency front-end chip, and relates to the technical field of chips, the design method comprises the steps that a radio frequency transceiver, a power amplifier, a low-noise amplifier and a switch module are integrated on a single silicon substrate, and a self-adaptive bias control system is realized in the monolithic integrated radio frequency front-end chip; comprising the steps that a plurality of temperature sensors, a plurality of voltage sensors and a plurality of current sensors are arranged, a digital signal processor calculates optimal bias parameters of all modules according to a preset power consumption optimization algorithm, and bias control signals are sent to the corresponding modules through a digital-to-analog converter; based on the self-adaptive bias control system, dynamic power consumption management of the radio frequency front-end chip is achieved, when it is detected that radio frequency signal transmission is finished, the digital signal processor controls all the modules to enter a low-power-consumption standby state, and the overall power consumption of the chip is further reduced.

The invention discloses an unmanned aerial vehicle radio communication frequency band countering method for automatic frequency identification and frequency writing, and relates to the technical field of unmanned aerial vehicle interference, and the method comprises a frequency band identification module which is used for scanning a 300MHz-6GHz frequency band in real time and identifying an enemy unmanned aerial vehicle communication signal; the signal analysis module is connected with the frequency band identification module, comprises a digital signal processor and an FPGA (Field Programmable Gate Array), and is used for analyzing signal modulation types and spectrum characteristics; the automatic frequency writing module is used for adjusting an interference frequency band through a direct digital frequency synthesis technology according to an analysis result; the multi-frequency-band interference transmitter supports synchronous interference in frequency bands of 1.2 GHz, 2.4 GHz, 5.2 GHz and 5.8 GHz; the intelligent control terminal integrates an adaptive interference algorithm, and the response time is less than or equal to 1 second. According to the unmanned aerial vehicle radio communication frequency band countering method capable of automatically identifying and writing the frequency, the radio communication frequency band used by the enemy unmanned aerial vehicle is automatically identified, and the corresponding frequency band is written in real time for accurate interference, so that the interference effect of an interference system facing the enemy unmanned aerial vehicle is improved.

The invention relates to the technical field of power equipment state detection, in particular to an ultrahigh-frequency partial discharge online detection system, method and device and a medium, and the system comprises the steps: collecting an initial discharge signal in real time through an ultrahigh-frequency sensor array, and carrying out the preprocessing of the initial discharge signal, so as to obtain an ultrahigh-frequency discharge signal; carrying out peak detection on the ultrahigh-frequency discharge signal, and triggering a high-speed analog-to-digital converter to collect an original waveform when the amplitude exceeds a preset threshold value; performing multi-dimensional feature extraction on the original waveform by using a digital signal processor to obtain multiple groups of dimensional features; identifying and classifying the multiple groups of dimension features based on a random forest algorithm, generating discharge type labels and confidence coefficients, and storing the discharge type labels and the confidence coefficients in a dynamic database; carrying out spatial position calculation on the ultrahigh-frequency discharge signal by adopting a time difference method, and determining a three-dimensional coordinate of a discharge source; the dynamic database and the three-dimensional coordinates of the discharge source are subjected to space-time correlation and multi-dimensional analysis, a defect analysis result is generated, and high-precision online detection of the partial discharge defect of the high-voltage equipment is achieved.

Workloads for executing a graph neural network (GNN) may be divided among various processing units, such as a central processing unit (CPU) and a neural processing unit (NPU). The NPU may include a data processing unit (DPU) and a digital signal processor (DSP). The CPU may perform precomputation, model optimization, hardware optimization, and compilation. For example, the CPU may precompute a parameter matrix and use the parameter matrix as internal parameters of a GNN. The CPU may also perform node padding, approximation computation, or transfer of DSP operations to DPU to optimize the GNN. The CPU may also perform sparsity data compute and storage, vertical fusion of DSP operations and DPU operations, or data quantization to optimize performance of the NPU. The compiled GNN may be provided to the NPU, and the DPU and DSP may perform the operations in the compiled GNN to produce a prediction of the GNN.

The invention discloses an optimization method for a multi-head attention mechanism operator oriented to a domestic heterogeneous processor, which improves the efficiency of the multi-head attention mechanism operator from four aspects, and comprises the following steps of: firstly, combining the general computing power of a CPU (Central Processing Unit) and the advantages of a DSP (Digital Signal Processor) in the aspect of parallel computing; a high-performance multi-head attention mechanism operator operation method on a CPU + DSP heterogeneous processor is constructed; secondly, a previous softmax optimization algorithm is used for fusing the two batch processing matrix multiplication and a softmax operator, so that the memory access overhead of DSP equipment is reduced; then, a vector operation instruction of a DSP calculation core is used in the calculation process of a multi-head attention operator, and SIMD calculation characteristics of DSP equipment are fully utilized; and finally, during data transmission and calculation, a double-flow water mechanism is adopted, the data transmission time is covered, and the multi-head attention mechanism operator calculation efficiency is improved.

The invention relates to the technical field of integrated circuits, and provides a clock domain crossing synchronization circuit and method based on a multiphase clock, and the circuit comprises a selector, an asynchronous clock synchronization module and a digital signal processor. Wherein serial data to be transmitted and a low-frequency clock are input into the selector, and the selector is used for outputting corresponding RX parallel data to the asynchronous clock synchronization module according to the serial data and the low-frequency clock; the asynchronous clock synchronization module is used for outputting corresponding alignment data to the digital signal processor according to the input RX parallel data, the clock of the digital signal processor and the low-frequency clock; the asynchronous clock synchronization module is used for performing phase alignment on the RX parallel data and a clock of the digital signal processor; and the digital signal processor is used for carrying out data processing on the alignment data. According to the invention, stable transmission of low-delay cross-clock domain data can be realized.

The invention relates to the technical field of power supplies, and discloses a high-precision power supply control method based on a digital signal processor, which comprises the following steps of: acquiring data such as voltage, current, temperature, load parameters and the like of a power supply at a high frequency of kHz-level sampling frequency by using a high-precision sensor, transmitting the data to a DSP (Digital Signal Processor), and removing noise interference by applying wavelet transform. Sample quality is improved through high-frequency data acquisition and wavelet denoising, nonlinear and time-varying characteristics of a power supply system are identified by using a lightweight CNN and an LSTM, a reinforcement learning dynamic optimization control strategy is combined, self-adaptive switching between traditional control and an intelligent algorithm is realized through working condition identification, and the power supply system control method based on the LSTM is realized. The problems that noise interference influences data quality, system characteristic recognition is inaccurate, complex working condition control strategy optimization is insufficient, and output precision is unstable due to the fact that a control mode cannot be switched in a self-adaptive mode in an existing power supply can be effectively solved, and control precision, efficiency and device loss can be considered. And the stable operation requirement of the high-precision power supply under multiple working conditions is met.

The invention discloses an automatic control method and system for a bias point of a photoelectric modulator, and relates to the field of signal processing, and the method comprises the steps: generating a composite disturbance voltage signal through a digital signal processor; the bias electrode is injected into the photoelectric modulator and used for collecting the optical signal output by the photoelectric modulator and converting the optical signal into an electric signal; extracting a fundamental component amplitude and phase difference data of a second harmonic component, a third harmonic component and a fundamental wave; dynamic characteristic parameters are calculated through spectral analysis, and the mapping relation between the characteristic parameters and the offset of the offset points is established; outputting the offset direction and the offset level of the offset point through a deep learning model; a bias voltage compensation amount is generated through a fuzzy PID (Proportion Integration Differentiation) controller; and adjusting the bias electrode voltage, smoothing the filter, and eliminating high-frequency jitter. The method has the advantages that high-precision and stable bias point adjustment is realized through the composite disturbance signal, real-time spectrum analysis and deep learning optimization decision in combination with fuzzy PID control and a dynamic closed-loop mechanism, and the system performance and stability are remarkably improved.

The invention discloses a frequency division control radio frequency power supply solid-state impedance matcher and a method thereof, and aims to solve the problems that a traditional mechanical impedance matcher is slow in response, low in adjustment precision and difficult to adapt to a dynamic load. According to the system, an all-solid-state impedance matcher is adopted, impedance dynamic adjustment is achieved through a matching network composed of an adjustable inductance module and a switched capacitor module, closed-loop control is constructed in combination with a radio frequency signal detection module and a digital signal processor, and a frequency division control strategy is adopted, and the high-frequency band realizes high-precision matching through a control strategy of coarse adjustment of the adjustable inductance module and fine adjustment of the switched capacitor module. The device has the advantages of high response speed, wide frequency band coverage and the like, and is particularly suitable for industrial plasma application scenes with remarkable dynamic impedance characteristics.

The utility model provides a compensation device based on a magnetic suspension motor and an eddy current displacement sensor, which belongs to the technical field of magnetic suspension motor unbalanced signal extraction and suppression and comprises a differential eddy current displacement sensor, a nonlinear compensation circuit, a digital signal processor, an eddy current effect compensation circuit and an upper computer. The differential eddy current displacement sensor is used for acquiring displacement information and rotor temperature of a rotor of the magnetic suspension motor, and temperature compensation is carried out on the displacement information of the rotor by adopting a temperature compensation circuit built in the differential eddy current displacement sensor according to a temperature compensation control signal of the upper computer; and the upper computer is used for correspondingly obtaining a resistance value of a variable resistor Rt in the temperature compensation circuit according to the rotor temperature and the environment temperature when receiving the rotor temperature, and sending a temperature compensation control signal to the differential eddy current displacement sensor according to the resistance value of the variable resistor Rt. According to the invention, the accuracy of signal acquisition under complex conditions is ensured.

The invention discloses a resource scheduling method, a data processing system, computing equipment, a medium and a product. The resource scheduling method applied to a data processing unit comprises the steps that the data processing unit acquires the running state of each processing node; and the data processing unit distributes part of the tasks to be processed to a digital signal processor and / or other data processing units according to the task information of the tasks to be processed and the running state of each processing node. The data processing unit and the digital signal processor are combined, different data tasks are processed in parallel, and the overall data processing speed and the overall performance are remarkably improved.

The invention relates to the technical field of audio processing, and discloses a multi-mode audio processing method and system based on an SOC. The method comprises the following steps: inputting multiple paths of audio input signals into an ARM processor of an SOC chip for processing, and generating a preprocessed audio data stream; inputting the preprocessed audio data stream into a basic audio processing stream executed by a digital signal processor (DSP) and a multi-modal feature extraction stream executed by an artificial intelligence (AI) accelerator in parallel; performing adaptive noise reduction processing and multi-channel audio signal sound mixing processing in the basic audio processing stream to generate a basic processing feature stream; performing multi-dimensional feature extraction and scene type identification in the multi-modal feature extraction stream to generate a high-level feature stream; according to the method, the processing capability of the SOC chip on different types of audio signals is improved, the continuity and smoothness of the reconstructed audio signals are ensured, and signal distortion is effectively avoided.

The invention provides a bidirectional DC-DC energy feedback system based on multi-source integration and a control method thereof, and relates to the technical field of energy recovery. The system comprises an input source module used for obtaining multiple input sources; the bidirectional DC-DC power conversion module is adaptively connected to the input source module and the energy storage power grid interface module so as to realize bidirectional controllable transmission of energy; the multi-source energy management module is used for being adaptively connected with the control unit, inputting real-time data acquired by the sensor network into the AI optimization unit for dynamic parameter adjustment and then transmitting the real-time data to the control unit; the control unit is integrated with a digital signal processor DSP and an FPGA; the DSP is used for executing a dynamic control strategy; the FPGA is used for generating a high-frequency PWM driving signal; and the energy storage power grid interface module is used for realizing standardized power interaction between load ends. The energy utilization efficiency can be improved, harmonic pollution can be reduced, the dynamic response capability can be enhanced, and the method is suitable for new energy automobile braking energy recovery, renewable energy source storage and industrial test equipment scenes.

The invention discloses a dual-redundancy servo controller and a main-standby autonomous switching method thereof, and belongs to the technical field of electric servo control. The controller comprises a host machine and a standby machine; each of the host and the standby machine comprises a DSP (Digital Signal Processor), an FPGA (Field Programmable Gate Array), a hardware ID (Identity) identification module, a motor power driving IPM (Intelligent Power Module) and a generator tripping instruction module which are in signal connection; the DSP and the FPGA are respectively connected with an LDO (Low Dropout Regulator) power module; the FPGA is in communication connection with the control system; the motor power driving IPM is connected with the execution mechanism; the DSP processors of the host and the standby machine are in signal connection; and the switching instruction modules of the host and the standby are in signal connection. The invention discloses a main / standby autonomous switching method for a dual-redundancy servo controller, which adopts a DSP and an FPGA to cooperatively detect and process faults, improves the fault detection rate by 5%, and reduces the possibility that the output of an IPM module is not turned off by 20% when a fault occurs; three heterogeneous redundant generator tripping modes of hardware generator tripping, serial port generator tripping and heartbeat generator tripping are adopted, and the reliability of main and standby independent generator tripping is improved by 20%.

The invention discloses a method for deploying a flame detection spiking neural network on an FPGA (Field Programmable Gate Array). According to the method, codes of the flame detection spiking neural network are written by using a Viis HLS tool, an IP (Internet Protocol) core file is generated and burnt on the FPGA, a related digital circuit is generated, the processing speed of the flame detection spiking neural network is accelerated, and the operation power consumption is reduced. And in the design process, the technical means such as ATAN arc tangent activation function calculation and short-circuit logic calculation strategies are realized by utilizing a lookup table, so that unnecessary calculation and power consumption can be reduced, the use amount of a DSP (Digital Signal Processor) is remarkably reduced, the hardware calculation operation process is simplified, and the pulse neural network can run on an FPGA (Field Programmable Gate Array) with relatively low power consumption. Therefore, the method provided by the invention provides a set of solution for implementing effective deployment on the low-power-consumption edge equipment based on the FPGA for a flame detection application scene.

The invention discloses a dance formation self-organization control method based on a robot group. The method comprises the following steps: S1, obtaining dynamic changes of light frequency, color and intensity through a spectrum camera; s2, judging an effective light source and an invalid light source, and removing the invalid light source to form a target light signal; s3, converting the optical signal into a digital signal through a photoelectric converter and a digital signal processor, and extracting the characteristics of the digital signal to form a characteristic instruction; s4, comparing the feature instruction with a predefined action matching database in real time, and outputting a robot action instruction; s5, analyzing the characteristics of the received digital signal, predicting an action instruction at the next moment, and generating the next action instruction in advance; s6, generating a robot action track by using a path planning algorithm; and S7, adopting a distributed control strategy, dynamically adjusting the motion track, and completing dance arrangement. According to the invention, dance arrangement of the robot group is controlled through light, and diversity of dance of the robot group is realized.

The invention relates to the field of radio measurement, in particular to a radio height simulation device and method. The radio height simulation device comprises a fixed attenuator, a photoelectric conversion module Tx, a first optical path control member, a second optical path control member, a photoelectric conversion module Rx, a numerical control attenuator and a host. One end of the fixed attenuator is connected with the radio altimeter, one end of the photoelectric conversion module Tx is connected with the fixed attenuator, the other end of the photoelectric conversion module Tx is connected with the first optical path control element, the first optical path control element is externally connected with at least one optical fiber, and the optical fiber is connected with the second optical path control element; according to the invention, the dependence on a digital signal processor and a long-distance radio frequency cable is reduced, the hardware cost is reduced, the radio altimeter can be tested according to the radio height simulation device, the device can be calibrated by using a vector network analyzer, and the accuracy of height simulation is further ensured.

The invention discloses a processing device and a voice activity detection system and method, and relates to the technical field of computers, the processing device comprises a feature extraction module and a voice activity detection module; the voice activity detection module is connected with the feature extraction module; the feature extraction module is used for continuously receiving audio signals, extracting feature information in the audio signals and sending the feature information and the audio signals to the voice activity detection module; and the voice activity detection module is used for performing voice activity detection on the audio signal based on the feature information, and sending the audio signal to the digital signal processor for processing when detecting that the voice activity exists in the audio signal. Compared with the prior art, the digital signal processor is controlled to be powered on under the condition of detecting that the voice activity exists in the audio signal, so that the digital signal processor can be kept in the power-off state in the detection process, power consumption can be saved to a large extent, and power consumption waste is avoided.

The invention discloses a method for suppressing common-mode noise of a CPT magnetometer, which can remarkably improve the performance of the CPT magnetometer by introducing a differential detection technology and an adaptive signal processing method. A beam of coherent laser is configured, two beams of light generated by a spectroscope respectively pass through different paths, one beam of light passes through an atomic gas chamber, the other beam of light does not pass through the atomic gas chamber, and a high-sensitivity photoelectric detector is used for collecting signals. A differential signal of two signals is generated by using a differential amplifier, so that the influence of common-mode noise is effectively eliminated. Then, the differential signal is subjected to adaptive filtering through a digital signal processor, and the signal quality is further improved. Experiments show that the method can significantly improve the measurement precision and stability of the CPT magnetometer, and has a wide application prospect.

The invention relates to the technical field of photoelectric signal conversion, in particular to a DSP (Digital Signal Processor) double-area firmware collaboration method, system and equipment in an optical module. According to the scheme provided by the invention, the optical module can store two independent DSP firmware in the external Flash, so that the version matching of the MCU firmware and the DSP firmware in the working process of the optical module is ensured. The problem of DSP function failure caused by mismatching of the DSP API version used by the MCU firmware and the DSP firmware version is solved; secondly, according to the scheme, the MCU and the Flash can be communicated through the SPI bus, in the DSP firmware upgrading process, the MCU directly sends data to the Flash, and the problem that the MCU firmware is repeatedly updated due to the fact that DSP firmware upgrading is supported is solved; the DSP firmware upgrading is executed for the De-active firmware area, and the execution of the firmware in the current active area is not influenced. And on the other hand, through a trial run mechanism, a firmware selection code mechanism and an upgrade failure automatic rollback mechanism, it can be ensured that normal operation of the optical module is not affected when an upgrade abnormal problem occurs in the DSP firmware upgrade process.

The invention discloses a method and a device for processing VHF (very high frequency) and UHF (ultra high frequency) navigation signals based on ZYNQ, and relates to the technical field of signal processing, and the method and the device are characterized in that a single ZYNQ chip is used for replacing an FPGA (field programmable gate array) + DSP (digital signal processor) dual-chip framework of a digital processing part of a traditional aviation navigation signal receiver, so that the system integration level is increased, the design is more compact, the circuit design is simpler, and the system reliability is improved. Lightweight design of airborne equipment is facilitated; besides, by means of the strong processing performance of the PL part of the ZYNQ chip and the high-speed analog-to-digital conversion chip (ADC) which develops rapidly, receiving of VHF and UHF navigation signals can be achieved through the radio frequency direct sampling technology, complete digitization of analog down-conversion is achieved, and the advantages are that the problems of leakage and frequency offset of an analog local oscillator and generation of more harmonic waves and stray can be solved. And the electromagnetic interference of equipment is obviously reduced.

A digital signal processing (DSP)-based serializer-deserializer (SERDES) includes a first filter configured to mitigate inter-symbol interference (ISI) attributed to dispersion associated with a long-reach transmission medium. The SERDES includes a second filter configured to shape the ISI. The SERDES includes also includes a third filter coupled in parallel with the second filter and configured to reduce ISI attributed to reflections associated to both near-zero delays and long delays.

Technology is disclosed for an optical receiver. The optical receiver may include an optical and digital signal processing (ODSP) device. The ODSP device may include a photodiode operable to convert an optical signal to an electrical signal; a digital signal processor operable to generate a digital signal based on the electrical signal; a quantization component operable to generate a quantized output signal based on the digital signal; and a processing device. The processing device may be operable to measure one or more signal statistics of the digital signal; and identify one or more quantization thresholds, wherein the one or more quantization thresholds are computed based on the one or more signal statistics.

The invention discloses a parallel constant-voltage digital audio power amplifier and a broadcasting system. Comprising a line input module, a line output module, a first analog-to-digital conversion circuit, a second analog-to-digital conversion circuit, a third analog-to-digital conversion circuit, a digital signal processor, a single-chip microcomputer, a digital-to-analog conversion circuit, an error comparator, a modulator, an integrating circuit, a pulse width modulation input half-bridge output stage, and a first carrier frequency selection and gain adjustment module. A second carrier frequency selection and gain adjustment module, a first LC filter, a high-frequency compensation network, a communication bus and a power switch. The technical problems that an existing multi-channel parallel digital constant-voltage power amplifier is only limited to power amplifier channels in the same power amplifier, the parallel connection mode only uses the first channel as a main power amplifier and only uses the other channels as slave power amplifiers, and certain limitation exists are solved.

The invention provides a simulation method and system with controllable split-phase voltage drop time difference, and relates to the technical field of electric power testing, and the method comprises the steps: adjusting voltage through a three-phase voltage regulator, employing a bidirectional silicon controlled rectifier and IGBT hybrid switch structure to achieve voltage drop, collecting and processing a three-phase voltage signal through a digital signal processor, and extracting zero crossing point information; and a control pulse signal with phase compensation is generated, the conduction time sequence of the switch element is controlled to realize soft switching, and the industrial computer receives and processes the signal and displays a voltage drop waveform. The split-phase voltage drop time difference can be accurately controlled, and the simulation precision and the system reliability are improved.

The invention discloses an optical fiber signal transmission system and method based on quantum noise encryption, and relates to the technical field of optical fiber communication, and the system comprises a composite modulation transmitting module, a dispersion compensation relay module, a coherent receiving module and a digital signal processor. The composite modulation transmitting module comprises an electro-optical modulator and a quantum noise randomization encoder; the dispersion compensation relay module comprises an adjustable dispersion compensator and a Raman amplifier; the coherent receiving module comprises a local oscillator laser and a 90-degree optical mixer; a digital signal processor includes a clock recovery unit and a maximum likelihood sequence detector. All the modules are sequentially connected and cooperatively work. And the adjustable dispersion compensator dynamically applies reverse dispersion compensation calculated based on a dispersion coefficient and a transmission distance according to the dispersion amount monitored in real time. According to the invention, through technologies of quantum noise encryption, dynamic dispersion compensation, Raman amplification, coherent reception and the like, safe and efficient transmission with single-wave 400Gbps and 100km transmission bit error rate less than or equal to 1 * 10 <-12 > is realized.

The invention relates to the technical field of communication, and discloses a dual-mode communication unit relaying and signal amplifying device, which comprises a signal receiving module comprising an HRF wireless receiving channel and an HPLC power line coupling channel which are independently configured, the working frequency band of the HRF wireless receiving channel is 470-510MHz, the receiving sensitivity is not lower than-120dBm, and the working frequency band of the HPLC power line coupling channel is 470-510MHz; the HPLC coupling channel supports a frequency band of 0.7-12 MHz and has an impedance matching range of 20-200 omega, the two channels alternately scan input signals in a time division multiplexing mode, and the signal processing module is integrated with a digital signal processor and field programmable gate array cooperative processing architecture and is internally provided with a signal type identification circuit. According to the device for relaying and amplifying the signals of the dual-mode communication unit, the HRF signals and the HPLC signals are automatically distinguished through fast Fourier transform spectrum analysis, an HRF wireless receiving channel and an HPLC power line coupling channel are integrated, a repeater is installed in an area where HRF signal transmission is not good, the repeater can process the HRF signals and the HPLC signals at the same time, and the signal transmission efficiency is improved. And real-time receiving and efficient transmission of dual-mode signals are realized.

Some embodiments are directed towards a multiple-input multiple-output (MIMO) receiver system for use with N antennas. The receiver system includes: an analog combiner assembly comprising a matrix of vector modulators applying gain and phase shift to each of N signals being received from the respective antenna and combine said N signals into P corresponding signals, P<N; an array of ADC units, each performing quantization of a respective one of said P corresponding signals with a predetermined bit constrain; and a signal recovery system. The signal recovery system can include a digital signal processor performing task-specific recovery of selected K signals, arriving on the antennas in predetermined input directions, from quantized and filtered digital representation of the N signals being received by the analog combiner assembly; and a control unit. The control unit is adapted to utilize optimized operational data to operate the analog combiner and the digital signal processor.