搜索资源列表
trunk-hdlc.rar
- 高级链路层协议的实现，vhdl，fpga,- 8 bit parallel backend interface - use external RX and TX clocks - Start and end of frame pattern generation - Start and end of frame pattern checking - Idle pattern generation and detection (all ones) - Idle pattern
yizhongsuijiduotuoyuanjiancedekuaisusuanfa
- 针对多椭圆检测问题提出了一种快速随机检测算法。该算法利用在图像中随机采样到的一个边缘点和 局部搜索到的两个边缘点以及这三个点的邻域信息确定候选椭圆,再将候选椭圆变换为对应圆,通过确认真圆来确 认真椭圆。在确定候选椭圆时,最大限度地减少随机采样点数‰ 剔除更多的非椭圆点,降低了无效采样,减少了无效 计算。数值实验结果表明:该算法具有良好的鲁棒性,其检测速度比同类算法快-Ellipse detection problem for many a fast random detect
Distributed_Multimedia_Networks
- MATLAB程序，TCP流路由，丢包率计算，包括脚本和simulink模块。-runde2.m (Matlab driver s program for activating 40 TCP flows with an AQM router) vdpol2.m (Matlab function for setting up stochastic differential equations for runde2.m) runde3.m (Matlab driver s program to
ransac
- MATLAB code for Random Sample Consensus (RANSAC)
HAS
- 针对某个集体中的人名设计一个哈希表，使得平均查找长度不超过R 假设待填入哈希表的人名有30个，平均查找长度为2。 哈希表用除留余数法构造，用伪随机探测在散列法处理冲突。 -For a group of names to design a hash table, making the average length of no more than R to find the assumption that hash table to be populated with the nam
haxi
- 针对某个集体中的人名设计一个哈希表，使得平均查找长度不超过R 假设待填入哈希表的人名有30个，平均查找长度为2。 哈希表用除留余数法构造，用伪随机探测在散列法处理冲突。 -For a group of names to design a hash table, making the average length of no more than R to find the assumption that hash table to be populated with the nam
hash
- 针对某个集体中的人名设计一个哈希表，使得平均查找长度不超过R 假设待填入哈希表的人名有30个，平均查找长度为2。 哈希表用除留余数法构造，用伪随机探测在散列法处理冲突。 -For a group of names to design a hash table, making the average length of no more than R to find the assumption that hash table to be populated with the nam
red[1]
- this random early detection algorithm to avoid congestion in wired networks-this is random early detection algorithm to avoid congestion in wired networks..
SKIN-DETECTION-USING-A-MARKOV-RANDOM-FIELD-AND-A-
- In this paper, human skin detection is performed using a new color space coordinate and a Markov random fi eld based approach.
Adaptive-Random-Testing
- 自适应性随机数检测算法，重点比较演化式算法和其他随机数检测算法-Detection of a random number adaptive algorithms, focusing on evolutionary algorithms and comparing a random number of other Detection
matlab
- 仿真程序：首先需要用一个随机发生器产生（0.1）内的均匀随机数，然后再将该序列映射到对应的幅度电平｛Am｝。然后将这个范围再分成4个相等的区间，这些子区间分别对应于4个信号比特的符号00，01，10，11。检测器观察到r=Am+n，并且计算r和4种可能传输的信号幅度之间的距离，它的输出Bm就是相应于最小距离的信号电平。Bm与真正的的传输信号幅度比较，差错计数器用来对检测器产生的差错计数。-Simulation program: first need to use a random genera
imgprocCGsignalproc
- BMP图像处理程序，包括模拟信道产生的高斯加性噪声；图像灰度变换；图像的拉普拉斯边缘提取；中点滤波法的debluring；图像线性模糊。 图形显示函数，包括DDA方法画直线；中点裁剪法；liang-barsky算法的窗口裁剪；种子填充算法； 随机信号处理程序，包括产生正态分布、均匀分布样本；计算其均值与方差；各样本的概率分布直方图分析；功率谱分析；样本叠加的PSD分布分析。-BMP image processing procedures, including analog channel
08kz1241
- 实现了物光和参考光双加密的数字全息加密方法,并从理论模拟和实验上分别验证了该方案,其安全性远高于仅加密一束光时的情况.使用双随机相位加密法加密了原始图像,并使用随机相位片编码了参考光. 加密后的图像由 CCD 接收后再使用计算机处 理.在实验上检测了该系统的信噪比和容错性, 并计算得到系统的密钥长度高达6.3×1014 .-Object and reference light to achieve a double-encrypted digital holographic encryp
Circle-detection-
- 基于霍夫变换的圆形检查，效果显著，带有例图-Circle detection based on random Hough transform
random-hough-transform
- 利用随机霍夫变换进行圆的检测，matlab编写-Randomized Hough transform for circle detection, Matlab prepared
Voltage-detection-system
- 上位机程序用VB编写，数据采集程序用汇编语言编写，随机电压发生程序用C语言编写。通过串行接口将采集的数据传到上位机中，需要编写上位计算机程序，对采集的数据进行处理，如显示当前值、画出一定时间内的记录曲线等。-The host computer program written in VB, data acquisition program written in assembly language, random voltage generator program written in C lang
random-narrowband-signal
- 该仿真程序模拟了随机窄带信号的发射和接收检测过程，也是调制解调过程。-The simulation program to simulate the random narrowband signal transmitting and receiving the detection process, but also the modulation and demodulation process.
random-verification
- 线性同余算法的验证，包括参数检测，均匀性检测，相关性检测，小波检测。-Validation of linear congruence algorithm, including parameter detection, uniformity detection, correlation detection, wavelet detection
random
- 8位伪随机序列发生器。在通信加扰，序列检测中有很强的工程应用-8 pseudo-random sequence generator. In communications scrambling sequence detection has a strong engineering applications
Circle-detection
- hough和randon函数求图像中圆，对于水中气泡检测效果很不错-Circle detection based on random Hough transform