无线通信的各种运动模型。适用于移动通信、无线传感器网络等领域。 包括：Random walk、random waypoint、random direction、boundless simulation area、 gauss-markov等运动模型 - probabilistic random walk
标签： random simulation direction boundless
上传时间： 2014-11-12
上传用户：libinxny
This m file simulates a differential phase shift keyed (DPSK) ultra wide bandwidth(UWB) system using a fifth derivative waveform equation of a Gaussian pulse.
标签： differential bandwidth simulates system
上传时间： 2014-01-03
上传用户：784533221
完全的二维数值积分程序 给出自变量和函数值的矩阵，便可以计算其二重积分。这里采用simpson积分法 比matlab自带的dblquad好用多了，霍霍！ 同时附有口径场用Gaussian-Lagurrer函数展开程序
上传时间： 2014-01-08
上传用户：xc216
In this project we analyze and design the minimum mean-square error (MMSE) multiuser receiver for uniformly quantized synchronous code division multiple access (CDMA) signals in additive white Gaussian noise (AWGN) channels.This project is mainly based on the representation of uniform quantizer by gain plus additive noise model. Based on this model, we derive the weight vector and the output signal-to-interference ratio (SIR) of the MMSE receiver. The effects of quantization on the MMSE receiver performance is characterized in a single parameter named 鈥漞quivalent noise variance鈥? The optimal quantizer stepsize which maximizes the MMSE receiver output SNR is also determined.
标签： mean-square multiuser receiver project
上传时间： 2014-11-21
上传用户：ywqaxiwang
Generate Possion Dis. step1:Generate a random number between [0,1] step2:Let u=F(x)=1-[(1/e)x] step3:Slove x=1/F(u) step4:Repeat Step1~Step3 by using different u,you can get x1,x2,x3,...,xn step5:If the first packet was generated at time [0], than the second packet will be generated at time [0+x1],The third packet will be generated at time [0+x1+x2], and so on …. Random-number generation 1.static method random from class Math -Returns doubles in the range 0.0 <= x < 1.0 2.class Random from package java.util -Can produce pseudorandom boolean, byte, float, double, int, long and Gaussian values -Is seeded with the current time of day to generate different sequences of numbers each time the program executes
标签： Generate Possion between random
上传时间： 2017-05-25
上传用户：bibirnovis
硕士论文，基于强背景噪声下的语言端点检测算法及实现。本文总结了现有的典型语音端点检测算法，深入分析了各算法的基本原理，比较 其优缺点，并给出了仿真结果。在此基础上，分析了现有语音信号的结构特点和特征参 数，提出了在较强背景噪声环境下的两种语音端点检测新算法。分别是基于多子带墒的 语音端点检测算法和基于Gaussian一右~a模型的语音端点检测算法。并给出了仿真 结果。从仿真结果可以看出在常见的噪声环境下，算法鲁棒性较好，在较低的信噪比下 仍能比较准确地检测到语音信号的端点。
上传时间： 2017-07-17
上传用户：asasasas
介绍回归问题中高斯过程的应用，C. E. Rasmussen & C. K. I. Williams, Gaussian Processes for Machine Learning,
上传时间： 2017-07-25
上传用户：skfreeman
The Kalman filter is an efficient recursive filter that estimates the state of a linear dynamic system from a series of noisy measurements. It is used in a wide range of engineering applications from radar to computer vision, and is an important topic in control theory and control systems engineering. Together with the linear-quadratic regulator (LQR), the Kalman filter solves the linear-quadratic-Gaussian control problem (LQG). The Kalman filter, the linear-quadratic regulator and the linear-quadratic-Gaussian controller are solutions to what probably are the most fundamental problems in control theory.
标签： filter efficient estimates recursive
上传时间： 2017-08-06
上传用户：风之骄子
Consider a BPSK and a QPSK system for the following two cases: 1) The probability that the symbol 1 is sent and the probability that the symbol 0 is sent are all the same. 2) The probability that the symbol 1 is sent is two times than the probability that the symbol 0 is sent. Assume that the noise is Gaussian distributed with mean=0 and 2 = 1.
标签： probability following the Consider
上传时间： 2017-08-15
上传用户：凌云御清风
SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU list generation, SiftGPU then uses a GPU/CPU mixed method to efficiently build compact keypoint lists. Finally keypoints are processed parallely to get their orientations and descriptors.
标签： SiftGPU implementation processes parallely
上传时间： 2013-11-27
上传用户：zhangjinzj
