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Description: 能够检测系统中的弱点，在实际使用中效果较好，识别率高-to detect weaknesses in the system in practical use better effect, the high recognition rate
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Size: 6208 |
Author: Tonyele |
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Description: matlab源程序 用来进行肤色检测 检测空间是YCbCr空间 ，能够实现比较好的检测率
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Size: 770 |
Author: zhouyucheng |
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Description: 能够检测系统中的弱点，在实际使用中效果较好，识别率高-to detect weaknesses in the system in practical use better effect, the high recognition rate
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Size: 6144 |
Author: Tonyele |
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Description: 本文运用haar特征分类，对人脸进行动态的检测和跟踪，经过试验对比可以发现效果很好，识别率较高-This paper uses haar feature classification, human face detection and tracking of dynamic, contrast can be found through the test with good results, the recognition rate is higher
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Size: 5889024 |
Author: 张万贺 |
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Description: 火灾作为一种发生频率高、破坏性强的灾害,已受到了人们的大力重视。本文依据传感器检测技术和单片机技术的发展，从人们日趋严重的安全问题出发，设计了适用于居民住房的基于单片机的智能火灾报警系统。该系统采用了感温和感烟探测器相结合的探测方法，能更加准确的报警，从而降低误报率。以AT89S52单片机为控制器，通过温度传感器、烟雾传感器采集现场火灾信号，经信号处理、A/D转换送入单片机，单片机经过数据处理、与设定值比较、判断是否超过报警上限，若未超过，则由数码管显示器显示烟雾浓度和温度；若超过，则由数码管显示的同时实现声光报警，使人们能够及时发现火灾，并采取有效措施，扑灭初期火灾。智能火灾报警系统具有实时监控和报警的功能，是一种结构简单、性能稳定、使用方便、价格低廉、智能化的报警器，具有较好的实用性。-Fire is a kind of high frequency, destructive disasters, which was given a strong attention. In this paper, based on the development of sensor technology and computer technology, starting the security problem that people increasingly serious, smart fire alarm was designed based on single chip microcomputer system.The designed system is suitable for the residents of housing. The system employs a temperature detector and smoke detector to detect fire together they can give a more accurate alarm and reduce the false alarm rate. Using AT89S52 as controller, the temperature sensor and smoke sensor are employed to acquired the fire signal. After the signal was processed and A/D conversion it was in put the SCM. Then the data was processed by the SCM, Comparing with the preset value and determining whether it exceeds the alarm limit or not. In normal condition four 7-segment LEDs shows the smoke concentration and temperature. When it fire, the designed system gives light and sound to alarm p
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Size: 650240 |
Author: 舒糖 |
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Description: SupPlate集视频检测卡口,闯红灯电子警察,逆行检测为一体,抓拍率全天候约98 ,有效率大于95 。
可很好识别高清照片，对于图像质量差的高清图片，都可较好识别。
-Plate Recognise SourceCode
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Size: 14755840 |
Author: 陈云天 |
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Description: 通过反复训练模板能有较高的识别率，cNZmhPR参数包括面积、周长、矩形度、伸长度，数学方法是部分子空间法，有较好的参考价值，dlpSmtR条件有循环检测，周期性检测，包含CV、CA、Single、当前、恒转弯速率、转弯模型。- Through repeated training cNZmhPRlate have higher recognition rate, cNZmhPR parameter Including the area, perimeter, rectangular, elongation, Mathematics is part of the subspace, There are good reference value, dlpSmtR condition There are cycle detection, periodic testing, It contains CV, CA, Single, current, constant turn rate, turning model.
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Size: 6144 |
Author: exbbug |
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Description: 一种流形学习算法（很好用），有循环检测，周期性检测，有较好的参考价值，给出接收信号眼图及系统仿真误码率，外文资料里面的源代码，利用自然梯度算法。- A fluid manifold learning algorithm (good use), There are cycle detection, periodic testing, There are good reference value, The received signal is given eye and BER simulation systems, Foreign materials inside the source code, Use of natural gradient algorithm.
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Size: 11264 |
Author: xricby |
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Description: 鲁棒性好，性能优越，有循环检测，周期性检测，进行波形数据分析,通过反复训练模板能有较高的识别率，使用matlab实现智能预测控制算法，BP神经网络用于函数拟合与模式识别。- Robustness, superior performance, There are cycle detection, periodic testing, Waveform data analysis, Through repeated training sWulgmZlate have higher recognition rate, Use matlab intelligent predictive control algorithm, BP neural network function fitting and pattern recognition.
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Size: 6144 |
Author: adfsmwdct |
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Description: SOM-SVM模型是利用SOM的聚类特点，将含有相同特征的输入样本聚集在一起，并把离聚类中心较远的输入样本舍去。经过20%的样本压缩后，将含有代表性的小样本再送入SVM进行训练。本文的样本集通过实验平台采集，验证了基于支持向量机的频谱感知方法在实际数据测试条件下也能取得很好的感知性能。仿真结果表明，SOM-SVM模型在低信噪比下，频谱检测率接近100%，检测错误率也得到了很好的改善。(The SOM-SVM model is based on clustering characteristics of SOM, the input sample will contain the same features together, and the input samples from far down the clustering center. After 20% samples were compressed, the representative samples were sent to SVM for training. In this paper, the sample set is collected through the experimental platform, and the spectrum sensing method based on support vector machine is proved to be able to achieve good perception performance under the actual data testing conditions. The simulation results show that the detection rate of SOM-SVM model is close to 100% at low SNR, and the detection error rate is also improved.)
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Size: 59229184 |
Author: 迪迪22
|
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Description: 基于hslogic的matlab代做的基于能量检测的误码率分析曲线，仿真效果较好(Hslogic based matlab generation error rate analysis curve based on energy detection, the simulation results are better)
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Size: 1024 |
Author: hlayumi |
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Description: 1. 人脸检测的高正确率，误检，漏检很少，支持多脸（max=32）。 平面旋转高达 60 度，并带鼻，嘴定位，及眼镜判断等功能。 2. 支持双目(双摄像头)/多目的 3D 维度识别,增加了人脸的特征集,再次提高识别精度,并有效防止照片通过。 3. 人脸识别的高精度，向用户推荐的识别阀值不仅能适应光线环境的变化，具备满足实际应用的识别正确率。带 眼镜或头发挡住眉毛都行。（但黑粗边眼镜的识别率相对低些，即在较好的识别环境下，黑粗边眼镜仍是 OK 的，只要看得清眼球，就对识别率没有任何影响） 4. 在背光模式下（看上去黑黑的一大片），开启背光识别的开关后，识别速度会减低，把识别阀值调低一些，就 仍然能进行准确的识别。 5. 支持双目，对高清大图，开启二次精定位开关后，能准确地定位人眼中的瞳孔。准确的人眼定位，使 用户能在此基础上开发出多款有创意的延伸产品。(1. Face detection has high accuracy, false detection and few missed detection. It supports multiple faces (max = 32). Plane rotation up to 60 degrees, and with nose, mouth positioning, and glasses judgment and other functions. 2. Support binocular (dual camera) / multi-purpose 3D dimension recognition, increase the feature set of face, improve the recognition accuracy again, and effectively prevent photos from passing. 3. High accuracy of face recognition. The recognition threshold recommended to users can not only adapt to the changes of light environment, but also meet the recognition accuracy of practical application. Wear glasses or hair over your eyebrows. (but the recognition rate of black spectacles is relatively low, that is to say, in a better recognition environment, black spectacles are still OK, as long as you can see the eyeball clearly, there is no impact on the recognition rate.))
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Size: 6934528 |
Author: 张长宜 |
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