信噪比检验,signal-to-noise ratio test英语短句,例句大全

信噪比检验,signal-to-noise ratio test
1)signal-to-noise ratio test信噪比检验

英文短句/例句

1.The Test of Signal to Noise Ratio and the Simultaneous Test for Parameters of Normal Population正态总体信噪比检验和参数的同时检验
2.SNR estimation method of LFM signal detection线性调频信号检测的信噪比估算方法
3.The simulating results show that the proposed method can detect the endpoint exactly in the low SNR environments.仿真实验表明此方法快速有效，具有较强的抗噪能力，特别适合低信噪比下的端点检测。
4.Investigation on Dim Point Target Detection in Low SNR Infrared Image低信噪比红外图像弱小目标检测研究
5.Signal Detection and SNR Joint Estimation Algorithm for AWGN ChannelAWGN信道下的信号检测联合信噪比估计算法
6.Modified priori SNR estimation for noisy speech enhancement改进型先验信噪比估计语音增强算法
7.Detection of certain-signal in low SNR from stationary processes平稳随机干扰中低信噪比确定性信号的检测
8.The Study of Improve the S/N of Capillary Electrophoresis Fluorescence Signal;提高激光诱导荧光检测信号信噪比的研究
9.The real-time detection method for ultra-wideband LFM signalsEW中低信噪比超宽带LFM信号实时检测方法
10.Low Signal-to-Noise Ratio Radar Detection Based on DSP and FPGA Technology基于DSP和FPGA技术的低信噪比雷达信号检测
11.Simulation results show that it is a high power to detect the small dim target with SNR less than 2 in single frame by using the algorithm.实验证明,该算法对于信噪比小于2的弱小目标有较强的单帧检测能力。
12.Signal-noise ratio of the system is improved with double beam mode and correlative detection technology.采用双光束相关检测技术,改善了系统的信噪比。
13.Researches on Detecting and Tracking Dim Small Targets in Image Sequences图像低信噪比小目标检测与跟踪算法研究
14.Low-SNR Radar Echoes Fast Detection Algorithm Based on Wavelet Transform基于小波变换的低信噪比雷达回波快速检测法
15.DETECTING DIM POINT TARGETS IN IMAGE WITH GENETIC ALGORITHM遗传算法在低信噪比图象点目标检测中的应用
16.The Study of High Detecting Probability of Infrared Point Target Under Low SNR对低信噪比下的红外点目标高检测率的研究
17.A Detection Algorithm for Dim Target with Linear Movement低信噪比线性运动红外小目标检测方法
18.Application of Signal/Noise in Detecting Capability Analysis of Residual Control Charts;信噪比在分析残差控制图检测能力中的应用

相关短句/例句

SN ratio experiment信噪比试验
3)posterior signal to noise ratio后验信噪比
1.Unlike conventional AOFDM systems which adopt fixed thresholds, the method calculates bit error rate (BER) of a subband when adopting each modulation based on the posterior signal to noise ratio (SNR) under current channel state, and compares it with the target SNR to determine adopted modulation.提出了一种基于子带的自适应正交频分复用(AOFDM)系统的调制方式的自适应选择方法,不同于传统AOFDM系统采用固定的门限,该方法基于子带中所有子载波的后验信噪比(SNR),计算得到当前信道状况下不同调制方式该子带的误码率(BER),并与系统所要求的目标BER对比从而确定子带所采用的调制方式。
4)Priori SNR先验信噪比
1.Speech Enhancement Based on Estimation of Priori SNR Using Iterative Spectral Gain Method;基于谱增益迭代的先验信噪比估计语音增强算法
2.The decision-directed method can not acquire the accurate priori SNR estimation in wiener speech enhancement method.因此在维纳滤波语音增强方法中,采用直接判决法不能够准确地估计出先验信噪比。
5)Signal-to-noise ratio before detection检波前信噪比
6)post-detection SNR后检测信噪比
1.The algorithm first applies the modified QR decomposition with column pivoting to channel matrix, then divides the symbol vector for detection into sensitive symbol subgroup and the reliable symbol subgroup by comparing the post-detection SNRs with the group thresholds, which are computed and stored in system beforehand.该算法首先对信道矩阵作修正的选主列QR分解,然后根据各检测层的后检测信噪比与预先计算并存储在系统中的分组门限相比较的结果,将待检符号矢量分为敏感符号分组和可靠符号分组。