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对于淹没在复高斯白噪声中的信噪比为-5dB二次调频信号，在矩形窗长为256的情况下，滤波器组时频检测仿真-for drowned in the complex Gaussian white noise in the signal-to-noise-dB second FM signal in the long rectangular windows of the 256 cases, the time-frequency filters Detection Simulation
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描述了在高斯白噪背景下，对直扩信号进行检测所采用的方法和仿真流程。-Describes the Gaussian white noise in the background, on the Direct Sequence Spread Spectrum Signal detection methods and simulation process.
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采用MUSIC方法的白噪声频率检测仿真
白噪声中单个正弦信号的频率检测与估计
白噪声中多个正弦信号的频率检测与估计
-MUSIC method using white noise white noise simulation of the frequency of detection of a single frequency sinusoidal signal detection and estimation of white noise in the frequency of
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In Analog systems, the chief objective is the fidelity of reproduction of waveforms, hence, the suitable performance criterion is the output signal to noise ratio. The choice of this criterion stems from the fact that the signal to noise is related
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白噪声中单个正弦信号的频率检测与估计
产生，其中是一高斯白噪声，其均值为0，方差为1。用MUSIC方法估计观测数据中正弦波的频率，并给出白噪声方差()un2uσ 与复正弦波的振幅A的估计值。-A single frequency detection and estimation of the sinusoidal signal in white noise, which is a Gaussian white noise with mean 0 and variance 1. MUSIC m
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阵列信号处理白色高斯噪声下检测未知参数信号的概率-The probability of detection signals of the unknown parameters in the array signal processing white Gaussian noise
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Direct sequence spread spectrum (DSSS) communication systems has been widely
used in these years for its advantage of wide spectrum, low working Signal-to-Noise
ratio (SNR), anti-interference, anti-multipath effect and capability of LPI and LPD.
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应用在认知无线电频谱检测中。环境：经过加性白噪声的信号。功能：求解虚警概率和漏检概率。-Used in cognitive radio spectrum detection.Environment: after additive white noise signal.Function: to solve the false alarm probability and missed detection probability.
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基于贝叶斯准则，用matlab仿真出二元与四元数字信号在加性高斯白噪声干扰下的统计检测的方法与性能，并与理论结果比较-Bayesian criteria using matlab simulation methods and properties of the binary and quaternary digital signal in additive white Gaussian noise of statistical tests and compared with the theore
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This paper proposes a novel, highly effective spectrum
sensing algorithm for cognitive radio and white space
applications. The proposed spectral covariance sensing (SCS)
algorithm exploits the different statistical correlations of the received
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Spectrum sensing is the basic and essential mechanisms of Cognitive Radio (CR) to find the unused spectrum. This paper presents an overview of CR architecture, discusses the haracteristics and benefits of a CR. Energy detectionbased spectrum sensing
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编写MATLAB程序，讨论在 ??_0=5×〖10〗^(?5)的加性高斯白噪声环境中，利用匹配滤波器检测幅度为2，宽度为1ms的方波信号的情况(考虑取样时间为Ts=0.1ms)，测量匹配滤波器输入信号中心处与输出信号最佳取样处的SNR，绘出信号波形。(Write a MATLAB program, "10" discussed in the _0=5 * ^ (- 5) and Gauss white noise environment, using the matching
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