搜索资源列表
GaussianNoise
- 网站上的高斯白噪声,都是matlab或者c语言实现,因此,想到使用java语言来编写产生随机高斯白噪声,并把相关数据保存在txt中,给需要的朋友提供简单参考-Gaussian white noise on the website, or c language matlab are, therefore, think of using java language to write random Gaussian white noise, and the related data stored in
Gaussian_Sequence
- 极坐标方法产生高斯白噪声 产生N(0,1)高斯白噪声序列,最常见的方法是极坐标法,其计算步骤如下所示: (1) 产生两个独立同分布的随机序列(0,1),U1,U2; (2) 令V1=2U1-1;V2=2U2-1;并计算S=V1^2+V2^2 (3) 若S>1,则返回第一步;否则计算Y=sqrt(-2*ln(S)/S) (4) 令实部I=V1*Y,虚部Q=V2*Y,再求Output=I+Q*i,即可得到随机复数高斯白噪声序列。 理论上,可证明上述产生的I、Q两路序
E2_1_BasicWave
- ,依次产生均匀分布的随机序列、高斯白噪声随机序列、方波信号序列、三角波信号序列、正弦波信号序列, 以及信噪比SNR为10dB的加性高斯白噪声正弦信号。-Sequentially generating a random sequence uniformly distributed white noise Gaussian random sequence, the signal sequence of the square wave, triangle wave signal sequence
128QAM
- 随机产生二进制序列,进行128QAM调制,画出星座图,通过加性高斯白噪声的信道,再画星座图,并计算误比特率。-128QAM modulate with MATLAB
hanming74
- 该程序实现的是产生一随机信源(二进制)经74汉明码编码后,进行BPSK调制,经过模拟高斯噪声信道后进行译码,并给出错误图样、译码值和误码率。-The program is to generate a random source (binary) after 74 hamming coding, BPSK-modulated, after Gaussian noise channel analog decoding, and gives the wrong pattern, decoding an
random_gauss
- 产生高斯分布随机一维矢量的程序,采用fortran编写,已经试验过!-This is a program for generating the gauss variable.
gauss
- 用二维随机数生成二维高斯分布随机表面,可调整均方差、相关长度等参数-Generate a two-dimensional Gaussian random numbers using two-dimensional distribution of random surfaces, adjustable both variance, correlation length and other parameters
m1
- 验证中心极限定理,二维高斯函数的参数关系;产生一个高斯白噪声的随机过程-Verify that the central limit theorem, the relationship between the parameters of two-dimensional Gaussian function generate a random Gaussian white noise process
YUYIN
- 用matlab记录一段基带语音信号,采样频率设为44.1kHz。产生一个高斯白噪声 随机过程,并将噪声叠加在语音信号上(相当于将语音信号通过一个高斯信道)。 (1) 设定不同的噪声信噪比,画出并比较高斯信道接收端的信号时域波形,播 放接收信号。 (2) 由于语音信号的范围通常在3kHz以内,在接收端加载一个低通滤波器, 截止频率为3kHz,画出并比较滤波前后的信号时域波形,并播放滤波后 的信号。-Matlab record with some baseband voice
quzaohanshu
- 这里面含有对图像进行去噪的去噪函数,如高斯噪声,随机噪声,椒盐噪声等-This included the image de-noising noising function, such as Gaussian noise, random noise, impulse noise, etc.
guss
- 通过随机序列产生高斯噪声,画出分布直方图和拟合曲线。-Gaussian noise is developted by random sequence, draw the distribution histogram and the fitting curve
squence
- 通过编程和多次验证产生随机序列,产生高斯分布随机序列分布直方图-Generate random sequence are verified through the programming, and many times, and generating gaussian random sequence distribution histogram
Image-processing-source-code
- 本软件大致具有以下功能: 1. 打开时显示特效 .无 .随机 .向下扫描 .垂直双重扫描 .向右移动 .水平双重移动 .垂直百叶窗 .水平百叶窗 .垂直栅条 .水平栅条 .马赛克 .雨滴 2. 对图像进行点运算 .灰度直方图 .灰度线性变换 .灰度非线性变换(对数变换) .灰度阈值变换 .灰度均衡 3. 对图像几何变换 .平移变换 .镜像变换 .缩放 .旋转 4. 图像增强 .简单平滑 .
3-distribute
- 用了三种不同的算法,分别产生高斯分布、瑞利分布、泊松分布的随机变量。包括一份WORD的分析报告,非常具有参考价值。-With three different algorithms generate Gaussian, Rayleigh, Poisson random variables. The analysis included a WORD, a very valuable reference.
guassian-discriminant-analysis
- 基于opencv实现的c++版高斯判别分类,随机生成两类满足正态分布的训练样本点,利用高斯判别分析进行分类-Based on c++ version of the opencv, we realized gaussian discriminant classification by randomly generating two classes meet normal distribution of the training sample points, and used gaussian di
stblrnd
- 生成服从稳定分布的随机序列,稳定分布具有比高斯分布更强的冲击特性-alpha stable distribution generator.
levinson
- 图1为均衡带限信号所引起失真的横向或格型自适应均衡器(其中横向FIR系统长M=11), 系统输入是取值为±1的随机序列,其均值为零;参考信号;信道具有脉冲响应: 式中用来控制信道的幅度失真(W = 2~4, 如取W = 2.9,3.1,3.3,3.5等),且信道受到均值为零、方差(相当于信噪比为30dB)的高斯白噪声的干扰。试比较基于下列几种算法的自适应均衡器在不同信道失真、不同噪声干扰下的收敛情况(对应于每一种情况,在同一坐标下画出其学习曲线): 1)横向/格-梯型结构LMS算法
Eliminating_background_emissions
- 消除实验图像中的背景噪声,噪声为随机或高斯噪声-Eliminating background emissions
filter
- matlab对图像随机添加四种噪声,然后分别通过自编中值滤波,均值滤波,高斯滤波,和维纳滤波进行滤波-matlab add four random noise to the image, and then were filtered by self median filtering, mean filtering, Gaussian filtering, and Wiener filtering
lizilvbo
- 粒子滤波算法摆脱了解决非线性滤波问题时随机量必须满足高斯分布的制约条件,并在一定程度上解决了粒子群样本匮乏问题-Particle filter to get rid of the problem solving nonlinear filtering Gaussian random quantity must meet the constraints, and to some extent, solve the problem of lack of PSO sample