搜索资源列表
NormalizationFromIrregularPupil
- normalization of iris using pupil
NormalizationFromMidPointIrregularP
- Normalization from mid points
NormalizationFromMinimumDistanceIrregularP
- Normalization from irregualr points
ZF-detection-algorithm
- 垂直分层编码ZF检测算法程序代码问题，此程序是在调制方式为QPSK或4QAM下，未编码的V-BLAST系统 计算噪声功率时,信号的功率要用总的接收信号的功率.每根接收天线上的噪声功率是相同的.同时总的信号能量归一化,每根天线上发送的信号能量是总的发 送能量的1/Nt,其中Nt是发送天线数, 改变发送天线Nt和接收天线数目Mt,可以比较QPSK和4QAM时4发4收,4发6收,8发8收,8发12收等多发多收的情况 -Vertical stratification coding Z
qpsk_g_r-
- lear N = 10^5 EB_NO = [-1:30] liu1 = zeros(1,N) liu2 = zeros(1,N) for ii = 1:length(EB_NO) m= (2*(rand(1,N)>0.5)-1) + j*(2*(rand(1,N)>0.5)-1) s = (1/sqrt(2))*m normalization of energy to 1 n = 1/sqrt(2)*[randn(1,N) + j*rand
lab1
- lear N = 10^5 EB_NO = [-1:30] liu1 = zeros(1,N) liu2 = zeros(1,N) for ii = 1:length(EB_NO) m= (2*(rand(1,N)>0.5)-1) + j*(2*(rand(1,N)>0.5)-1) s = (1/sqrt(2))*m normalization of energy to 1 n = 1/sqrt(2)*[randn(1,N) + j*rand
lab2
- lear N = 10^5 EB_NO = [-1:30] liu1 = zeros(1,N) liu2 = zeros(1,N) for ii = 1:length(EB_NO) m= (2*(rand(1,N)>0.5)-1) + j*(2*(rand(1,N)>0.5)-1) s = (1/sqrt(2))*m normalization of energy to 1 n = 1/sqrt(2)*[randn(1,N) + j*rand
lab3
- lear N = 10^5 EB_NO = [-1:30] liu1 = zeros(1,N) liu2 = zeros(1,N) for ii = 1:length(EB_NO) m= (2*(rand(1,N)>0.5)-1) + j*(2*(rand(1,N)>0.5)-1) s = (1/sqrt(2))*m normalization of energy to 1 n = 1/sqrt(2)*[randn(1,N) + j*rand
HistogramApplication
- 直方图应用：直方图均衡化，直方图匹配，对比直方图 参考博客：http://blog.csdn.net/xiaowei_cqu/article/details/7606607-Image Histogram Application: Histogram Equalization/ Histogram Matching/ Histogram Normalization/ Histogram comparison
the-awe-and-mystery-of-T-Norm_eurospeech03_tnorm.
- about test normalization(t-norm) which is applicable for speaker verification score normalization
exp7
- LBG分类算法 用初始室心随机法和扰动因子分裂法两种方法，比较不同方法不同参数设置时的分类性能。 -LBG classification algorithm vector quantization: vector normalization within a certain range for a particular type, consists of two steps: first generate a codebook, which is the speech feature v
Hello
- 二重积分的Romberg算法李海合 摘要：针对-型区域的二重积f(x,y)dxdy分给出了误差"事后估计"的Romberg算法.-Guangdong Province planning appropriate specification specification and standardization and normalization were against each other reply
chepaishibie
- 这是车牌识别软件（附带几张带图片），大家可以通过它了解电子警察为什么可以这么快就能识别你的车牌，发出罚款单。-License plate recognition program, the accuracy is very high. The process is: the license plate location, the license plate image binarization, license plate character normalization, the license
Lppaankangi
- 车牌识别的程序源码，准确度非常高。过程是：车牌定位，车牌牌图像二值化，车牌字符归一化，车牌字符细化 可直接使用。 -License plate recognition program source code, the accuracy is very high. The process is: the license plate location, license plate brand image binarization, license plate character normaliz
hog1
- Histogram of Oriented Gradients (HOG) are feature descr iptors used in computer vision and image processing for the purpose of object detection. The technique counts occurrences of gradient orientation in localized portions of an image. This method i
a86a1ab87a36
- 图像归一化程序，图像处理领域中广泛应用。-The image normalization process, widely used in the field of image processing.
tuxianghuiduguiyihua
- 读入一幅图像，分别对其进行增加对比度，减少对比度，线性增加亮度和线性减少亮度的处理。接着又分别对4幅图像进行了直方图均衡化处理。灰度归一化用于消除灰度因素造成的图像外观变换。-Read into an image, with respect to their increase contrast, reduce contrast, the linear increase in processing of brightness and linear decrease in brightness. F
fourierDescriptor_cPP
- fourierDescr iptor.rar, 抽取目标图形的轮廓及其fourier Descr iptor算子, 然后对此fourier descr iptor进行标准化(normalized), 标准化以后的算子满足orientation，scale 和translation invariant。 再将此算子与某标准图形的fourier 算子进行比较， 若各项差的平方小雨某范围，则断定与此标准图像类似。 -fourierDescr iptor.rar extract the targe
Tguiyihuah
- 对手指静脉原始图像进行预处理，进行图像定位与手指图图像截取，进行归一化 ， -Pretreatment, the original image of the finger vein image positioning and finger diagram image capture, normalization,
guiyihua
- 神经网络（matlab）归一化，算法上挺有用的，大家可以-Neural network (matlab) normalization, the algorithm is useful, you can look at