认知无线电主用户信号为BPSK信号在不同信噪比下的检测概率和虚警概率-Cognitive radio primary user signal is BPSK signals in different SNR detection probability and false alarm probability

基于多特征的AdaBoost行人检测算法, 提出一种融合灰 度和轮廓信息的新的多特征综合表示方法. 该方法通过统计样本的权重直方图建立分类模 型, 并用多个直方图的乘积表示样本在多特征下对应的联合概率分布-AdaBoost pedestrian detection algorithm based on multi-feature, presents a fusion of grayscale and contour information of the new multi-feature

利用正弦信号作为发射信号，分别在AWGN和瑞利信道中，计算CR中的检测概率和虚警概率，并绘图。-Sinusoidal signal as transmitted signal, respectively, in AWGN and Rayleigh channel, calculate the probability of detection and false alarm probability of CR and drawing.