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.

Thus PSK systems require less transmitted power for a given probability of error than ASK or FSK systems. Synchronous detection of PSK signals is required,due to the absense of a large carrier component.Carrier recovery is there for emore compl