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dxva_sig
- 判断标准如下，考试成绩超过90分的学生和一年发表论文超过3篇的教师分别为优秀学生和优秀教师。基本要求 当输入一名教师或学生的信息后，给出该学生或教师的姓名以确定其是否达到优秀标准的信息-Criterion as follows, test scores more than 90 points a year for students and published papers over three of the teachers were
Investigation_on_Model_Selection_Criteria_for_Spe
- Speaker recognition is the task of validating individual s identity using invariant features extracted from their voices print. Speaker recognition technology common applications include authentication, surveillance and
KalmanFilterCarithmetic
- 卡尔曼滤波是以最小均方误差为估计的最佳准则，来寻求一套递推估计的算法-Kalman filter is based on MMSE criterion to estimate the best, to seek a recursive estimation algorithm
Source_No_GDE_Prob_vs_SNR_ULA
- 该程序用盖氏圆盘方法（GDE）计算均匀直线阵（ULA）中信号源个数估计性能随SNR的变化情况,采用Monte-Carlo模拟。 -estimate the number of source using GDE criterion
modelbasedonspectrumprediction
- 文章展示了基于高斯混合模型的语音频谱预测方法。频谱预测可能在传包过程中预防丢包这方面起到大作用。期望最大化算法用两倍或三倍的连续语音因素来测试模型。模型被用来设计第一，儿等指令预测量。预测表用频谱分配状态来估计并和一个简单的参考模型对比。最好的预测表得到一个平均频率扭曲值是0.46dB小于参考模型-This paper presents methods for speech spectrum prediction based on
kalmanintroduction
- In his 1960 famous publication (“A new approach to linear filtering and prediction problems”, Trans.ASME J. Basic Engineering., vol 82, March 1960, pp 34-45), Rudolf Kalman based the construction of the state estimation
repeatability_demo
- 这个matlab程序基于the repeatability criterion对几种区域检测子进行了比较，有问题可以查看下面这个网页 http://www.robots.ox.ac.uk/~vgg/research/affine/evaluation.html#eval_soft-Comparison of Affine Region Detectors
AHPforPerformanceEvaluation
- 层次分析法(AHP)在效能评估中的应用，同时对于1-9的阈值判定法，做了一点改进，值得学习-Analytical Hierarchy Process (AHP) in the performance evaluation of the application, while the 1-9 threshold criterion, have a little improvement, it is worth learning
TX_HD_PP_CORR2
- 基于灰度匹配准则的图像匹配，能快速找出对应下帧图像中对应的图像-Matching criterion based on a grayscale image matching, can quickly find out the corresponding fr a me image in the image
voip_pf
- 资源调度算法。VOIP业务在PF准则下调度的性能比较。-Resource allocation algorithm. VOIP business in the PF scheduling performance comparison criterion.
2121
- 测试用例概述 什么是测试用例 什么样的测试用例是好的测试用例,良好测试用例的特征 测试的准绳和依据：不可或缺的测试用例 测试用例的组成元素与范例 白盒测试用例设计方法 黑盒测试用例设计方法 工欲善其事，必先利其器 - 测试用例设计工具简介 软件测试用例设计技巧 案例分析：测试场景与测试用例设计 -Test Case Overview What is the test case
ColorBasedWatershedSegmentationofLowAltitudeAeria
- we introduce the Color-based Catchment Basin Merging Algorithm, an area-based segmentation approach that is specifically designed to segment low-altitude aerial images, as a preprocessing step to 3D reconstruction.
pro_2
- 用局部参数最优化方法设计一个模型参考自适应系统,可调增益的初值Kc(0)=0.2，给定值r(t)为单位阶跃信号，即r(t)=A×1(t)。 要求： 1把连续系统离散化(采样时间可取0.1)。 2编制并运行这个系统的计算机程序(注意调整B值，使系统获得较好的自适应特性)。 3记录ym、yp的曲线 记录kp×kc的曲线 记录广义输出误差e的变化曲线。 4在参数收敛后，让Kp=2变为Kp=1，重新观察Kp×Kc及e的变化曲
150
- 对数稳定判据,作者：QQ 64134703 ，电子毕业设计，欢迎咨询 -Log stability criterion, the author: QQ 64134703, e-graduate design, please consult
threshOtus
- 利用最大方差准则对BMP格式的图像进行的阈值分割处理！-Using the maximum variance criterion BMP format image threshold segmentation!
KNN3
- 最近邻分类器，自己输入数据，实现以最近邻为判据的分类-Nearest neighbor classifier, their input data in order to achieve the classification of the nearest neighbor as the criterion
newotsu
- OTSU Gray-level image segmentation using Otsu s method. Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection Method f
SimulationofBearings-onlyPassiveTarget
- 研究了存在系统误差时单站纯方位角无源定位系统的定位问题，分别在系统误差为常值和时变值时研 究了TLS-KF算法的性能，并通过估计系统误差是否存在，给出了一种选择最优定位算法的判决方法。该问题的 研究对于单站无源定位系统如何在存在系统误差时提高定位精度和性能，具有一定的理论意义和实际意义。 -The single station bearing-only passive target localization was stud
PowerCompFilters
- 1st FIR filter is given and wee need to find 2nd FIR filter that meet magnitude complementary criterion. fminsearch is used for error minimization.
svm4
- -s svm类型：SVM设置类型(默认0) 0 -- C-SVC 1 --v-SVC 2 – 一类SVM 3 -- e -SVR 4 -- v-SVR -t 核函数类型：核函数设置类型(默认2) 0 – 线性：u v 1 – 多项式：(r*u v + coef0)^degree 2 – RBF函数：exp(-r|u-v|^2) 3 –sigmoid：tan