| 1. | False alarm probability
虚警概率 |
| 2. | In first time , the relationship between probability of detection and probability of fault to snr , contrast and detecting threshold is derived in the assessment of detecting result
在检测效果评估方面首次推导了检测概率、虚警概率与信噪比、对比度和检测门限之间的关系。 |
| 3. | We mainly discuss the methods of gmti , location , and the measure of velocity , the decrease of false alarm probability and the compensation for phase error
主要研究mcarm数据动目标的检测、定位和测速的方法，利用定位和测速信息进一步降低虚警概率的方法和相位误差补偿方法。 |
| 4. | Otherwise , the conception and the academic formula of the detection probability and false alarm probability of radar is analyzed , and the computation is done by program
另外，论文还初步阐述了雷达发现概率和虚警概率的概念和理论计算方法，并就这些计算公式进行了程序仿真。 |
| 5. | The methods of measurement for monotone and dual tone intermodulation suppression are provided as receiver works at fh mode based on intercept probability and false alarm probability are up to par
提出在满足截获概率和虚警概率条件下，接收机跳频工作方式的单音和双音互调抑制性能测试方法。 |
| 6. | With the conditions of constant false - alarm probability and low signal - to - noise ratio , the signal - to - noise ratio can be improved by reducing the effects of background interference and random noise
在恒虚警概率条件下，该算法可以在低信噪比的情况下，减小背景干扰和随机噪声的影响，提高信噪比。 |
| 7. | The output components of the de - spreading correlator are analyzed and the expressions for the pf and pd of the step acquisition are given under the condition of additive white gauss noise
并在接收端噪声为加性白噪声情况下，对解扩相关器输出成分作了详细的分析，推导出了步进搜索时的虚警概率和检测概率的公式。 |
| 8. | We derive the analytic expressions of false alarm probabilities and detection probabilities under various situations . also , we drew the detector ' s various performance curves by using matlab
通过数学推导，得出了mgo - cfar检测器在各种环境中的检测概率、虚警概率表达式，并用matlab编程，绘出了检测器的各种性能曲线。 |
| 9. | And the output components of the despread correlator under the condition of additive white gaussian noise ( awgn ) are analyzed to derive the expressions for the false alarm probability and the detection probability
同时也对解扩相关器在接收端噪声为加性白高斯噪声情况下的输出成分进行了详细分析，推导得出大步进搜索的虚警概率和检测概率的公式。 |
| 10. | Then two feasible segmenting algorithms are introduced according to the different characteristics of filtered images . for further improving the performance of segmenting , a morphological filter is employed to extract targets of interest
而且，为了进一步提高检测概率、降低虚警概率，本文又采用了一种形态学滤波算法，进一步从分割后的图像中提取感兴趣的目标。 |
