weak signal detectionの例文

• Application of maximal lyapunov exponent to weak signal detection
• An algorithm for weak signal detection in strong noise environment
• Study on the weak signal detection method based on the wavelet transform
• Numerical analysis for weak signal detection based on duffing chaotic system
• Linear time - frequency analysis and its application in weak signal detection
• Weak signal detection and extraction against the background of chaotic noise based on empirical mode decomposition
• The detection system is realized in virtual instrument based on the theory of weak signal detection by duffing oscillator
• Focusing on neural weak signal detection , this thesis presents the principle and practicable method to utilize sr for neural weak signal detection
• The application of chaos theory to weak signal detection is a creationary research , which extends the application field of chaos theory and impels the development of weak signal detection theory
• The key problem to be solved in multi stations tdoa system is spatial and time synchronism between stations , weak signal detection and solution for high precision location equation
• However , the theory of stochastic resonance ( sr ) points out that by the addition of a particular level of noise , the response of nonlinear system will be enhanced , so that strengthening the system ' s weak signal detection
• As we all known that people has been suffering noise interference for long time . this makes the research of the weak signal detection from noise to be the synthesis technique and top field in the scopes of measure
• This dissertation makes a deeply research on weak signals detection using different chaos oscillators such as duffing systems and lorenz systems , getting hold of the effective detection methods in low snr
• This paper is based on the theory of chaos and symbolic dynamics . the property than output of a chaotic system is highly sensitive to its parameters is used in weak signal detection and system parameters estimation
• Through the processing method basing on wavelets , implementing the removing noise about section gauss noise to colure full tv signal , we resolve the theory and practice problems in the processing of weak signal detection
• In the circuit design for weak signal detection , the preamplifier is employed to magnify the signal from pin . and filter circuit is employed to cut down low - frequency signals then the oil contamination can be gotten with second amplifier
• First , based on the comprehensive review of the theoretical and experimental research on sr , the thesis , according to the requirement of weak signal detection , systematically studies the relationship between system , signal and noise when sr phenomenon appears
• The detection technique of underwater target with vector transducer is one of the rising techniques in the underwater engineering . it is often called " acoustic technique in the twenty - one century " for it ' s widely prospect in weak signal detection and low noise measurement
• Since the symbolic series are digital values themselves , it is very convenient to be acquired by logic judgment and processed by computer . in the part of weak signal detection , a new method of signal detection based on all parameters sensitivity of chaotic systems is proposed
• This dissertation aims at weak signal detection technology in micro - mechanical gyros , and digital correlated demodulation which can improve signal detecting accuracy is simulated ; methods of compressing signal band width to improve signal - to - noise ratio and analyzing error production to decrease system error are researched