当前位置：
首页 资源下载
搜索资源 - probability of detection
搜索资源列表
-
0下载：
基于能量检测法的matlab程序，很简单，讨论了在不同虚警概率下检测概率的变化和信噪比的要求，自己编的-Based on energy detection method matlab program, very simple, discusses the different detection probability of false alarm probability changes and SNR requirements, own ...
-
-
0下载：
认知无线电中基于能量检测的协作频谱感知，资料中涉及到不同信噪比、采样点数、协作结点的检测概率，具有一定的参考性。-Cognitive radio based on energy detection cooperative spectrum sensing, data related to different SNR, sampling points, the detection probability of cooperative node has a certain reference.
-
-
0下载：
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
-
-
0下载：
雷达目标检测 多干扰环境CA和GO的发现概率随SNR变化曲线 成功-Radar target detection probability of finding multiple interference environment with CA and GO SNR curve of success
-
-
0下载：
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
-
-
0下载：
背景建模是实现运动目标检测与跟踪的关键技术之一。在实时视频监控系统中，对背景建模算法的运行时间及所提取出的背景图像的实时性有很高的要求，针对这一问题，提出了一种基于切比雪夫不等式的自适应阈值背景建模算法。算法利用切比雪夫不等式计算像素点色度变化的概率估计值，提出了一种自适应阈值分类方法，它将像素点快速分类为前景点、背景点及可疑点，再利用核密度估计方法对可疑点进行进一步分类，最后利用背景更新算法提取实时背景图像。实验结果证明，该算法能快速有效地区分特征明显的背景点与前景点，提高了背景图像提取的速
-
-
0下载：
单用户的虚警概率和检测概率的关系，程序正确，简单易懂，值得参考-Single-user relationship probability of false alarm and detection probability, the program is correct, easy to understand, it is also useful
-
-
0下载：
信号检测与估计中信号接收概率最小错误率及最大接收率-Signal detection and estimation of signal receiving probability of minimum error rate and maximum rate
-
-
0下载：
The receiver performance is quantified by depicting the receiver operating char- acteristics (ROC) curves. This curves serve as a tool to and study the performance of a sensing scheme. ROC graphs are employed to show trade-of vs between detection pro
-
-
0下载：
energy detection program of probability detection and false alarm
-
-
0下载：
基于红外图像的弱小目标检测与跟踪，本程序是基于局域概率分布的小目标检测-Based on infrared image small target detection and tracking, this program is based on a small target detection probability distribution of local
-
-
0下载：
计算星载AIS系统包含2~3个冲突信号的检测概率。-Computing detection probability of two to three conflict signal for space-based AIS.
-
-
1下载：
Matlab程序及函数清单：实现检测概率与信杂比之间的关系-Matlab program and a list of functions: detection probability of relations between SCR
-
-
0下载：
This newly revised edition of a classic Artech House book provides you with a comprehensive and current understanding of signal detection and estimation. Featuring a wealth of new and expanded material, the second edition introduces the concepts of a
-
-
0下载：
在一定的虚警概率下，检测概率随着信噪比的增大而增大-Under a certain false alarm probability, the detection probability increases with the increase of the signal to noise ratio.
-
-
0下载：
随着电磁环境的日益恶化,以及低检测概率、低截获概率等通信技术的广泛应用,往往需要 在较大的带宽内同时对多个信号进行处理,才能够在大量信号中找到有用信号,因此对空间谱估计算法的时效性也提出了更高的要求。本文研究了空间谱快速算法及 实现问题,通过改进算法减少计算量,并合理利用硬件平台,将快速测向算法在FPGA+DSP平台上联合实现。本文的主要内容如下: 1、研究了基于直线阵的空间谱估计快速算法。针对MUSIC等测向算法大多需要特征分解和谱峰搜索,计算量较大的问题,给出了一种基于传播算子的Root
-
-
0下载：
CFAR即恒虚警检测，是雷达信号处理领域的经典处理算法，其核心是在保证虚警概率一定的条件下，尽可能提高检测概率-CFAR that is constant false alarm detection, radar signal processing field of the classic algorithm, its core is to ensure that the false alarm probability of certain conditions, as far as possi
-
-
0下载：
In this paper we uate the performance of cooperative spectrum sensing (CSS) where
each cognitive radio (CR) employs an improved energy detector (IED) with multiple antennas and
uses selection combining (SC) for detecting the primary user (PU) in
-
-
0下载：
MIMO系统线性检测算法误码率性能的脚本，ZF,ZF-SIC仿真及误码率检测-MIMO system bit error rate performance of linear detection algorithm scr ipt, including the MMSE, ZF, MF. Simply enter the number of receiving antennas, the number of transmit antennas.
-
-
0下载：
多重相关系数的ROC曲线，说明此算法的检测概率与虚警概率的性能比其他经典频谱感知算法更好(The ROC curves of multiple correlation coefficients show that the performance of detection probability and false alarm probability of this algorithm is better than that of other classical spectrum sensing
-
