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dsphomework1
- 数字信号处理的应用之一是从含有加性噪声的信号中去除噪声。现有被噪声污染的信号x[k]=s[k]+d[k],式中: 为原始信号d[k]为均匀分布的白噪声。 (1)分别产生50点的序列s[k]和白噪声序列d[k],将二者叠加生成x[k],并在同一张图上绘出x0[k],d[k]和x[k]的序列波形。 (2)均值滤波可以有效去除叠加在低频信号上的噪声。已知3点滑动平均数字滤波器的单位脉冲响应为h[k]=[1,1,1 k=0,1,2],计算y[k]=x[k]*h[k],在同一张图上绘出前50点y[
RELS11111
- 最小二乘递推算法的Matlab仿真 v(k)是服从N(0,1)分布的不相关随机噪声-recursive least squares algorithm Matlab v (k) is subject N (0, 1) not related to the distribution of the random noise
clutter
- ex9-8 相关对数正态分布杂波 ex9_8 相关weibull分布杂波 ex9_9 相干相关K分布杂波 -ex9-8 related to the lognormal distribution weibull distribution clutter clutter ex9_8 related ex9_9 coherent K distributed clutter-related
poisson
- 一个计算泊松分布的小程序。对于给定的m和k (0<m<2000, 0<= k < 2500),计算其概率,以科学格式输出,保留小数点后6位有效数字。-A calculated Poisson distribution of small procedures. For a given m and k (0 <m<2000, 0<= k < 2500.
Salama
- 改进的Salama网络拓扑随机生成算法通用Matlab程序,在随机抛撒节点的时候使用了K均值聚类,网络节点分布均匀且疏密得当,边的分布也比较均衡。-Improved algorithm for randomly generated network topology Salama General Matlab program, when the nodes in the random throw using K means clustering, the network node density
shikongKfenbuhaizabofangzhen
- 这是一个经典介绍时空相关K分布来对海杂波的仿真研究,值得借鉴和学习-This is a classic introduction time and space to K-distribution of sea clutter simulation studies, is worth learning and learning
K_dis
- 海杂波相关K分布建模,使用球不变随机过程方法实现,概率密度曲线和功率谱-K distribution of sea clutter modeling spherically invariant random process method, the probability density curve and power spectrum
111
- 产生k分布,瑞利分布,正太分布,PSK_lfm,RAY,等信号的matlab文件-Generated k distribution, Rayleigh distribution, normally distributed, PSK_lfm ray signals such as Matlab files
Clutter_ModelingZMNL
- 通过ZMNL方法,完成了对瑞丽杂波,威布尔杂波,对数正态分布杂波以及K杂波的建模仿真,并对功率谱以及杂波幅度概率分布进行分析仿真-By ZMNL method, completed the Ruili clutter, Weibull clutter, lognormal and K clutter clutter modeling and simulation, and the power spectrum and amplitude probability distribution clut
Fz
- K分布仿真的一部分,一部分是斑纹分量 还有是结构分量 两者点乘得到K分布序列 -K distribution part of the simulation, in part, there is a structural component markings component of both the dot distribution sequence obtained K
kmeans_report
- 数据挖掘kmeans图像聚类实验,用 VC 或 Java 实现 k-means 聚类算法, 分别以迭代次数及分配不再发生变化为算法终止条件,用图片(自己选择)作为数据集,比较运行时间(画出时间与像素点的关系曲线图,因此须用多幅像素个数不同的图片进行实验) 提交实验报告与源代码-Data mining kmeans image clustering experiments, using VC or Java implementation of k-means clustering algorith
kmeans_report
- 数据挖掘kmeans图像聚类实验,用 VC实现 k-means 聚类算法, 分别以迭代次数及分配不再发生变化为算法终止条件,用图片(自己选择)作为数据集,比较运行时间(画出时间与像素点的关系曲线图,因此须用多幅像素个数不同的图片进行实验),提交实验报告与源代码-Kmeans image clustering data mining experiments with VC k-means clustering algorithm, respectively, the number of itera
crndandkcdf
- k分布累积分布函数的程序和生成任意一元连续分布随机数-The distribution of K cumulative distribution function of the program,and generate a continuous distribution of random numbers
matlab
- K分布海杂波程序,用matlab尽心仿真-K Distribution Sea Clutter program
k-distribution
- 该程序可以产生形状和尺度参数不同的服从K分布的杂波数据。-The program can generate clutter obeying K distribution with different shape and scale parameters.
K-distribution-entropy
- 利用k分布求熵,可以实现熵的K分布求解,很有用-calculate the entropy by use of the K distribution, which is of great importance
Project1
- EM算法。问题背景是,有N条长为L的DNA序列,每条序列里面有一条长尾K的目标序列,但不知道他的位置,目标序列内的核苷酸服从foreground product multinomial distribution,非目标序列服从background multinomial distribution,改程序意在求解两种分布的参数。-EM algorithm. Background to the issue is that there are N pieces of length L of DNA
m_ktubianjianyan
- Mall-Kendall以气候、下垫面一致为前提,要求序列随机独立且同分布,用于突变点的识别。 UFk为一条随k变化的曲线,当n增加时,UFk很快趋于标准正态分布。 假设H0成立。给定显著性水平α,查算正态分布表得。当|UFk|<时,接受原假设,即趋势不显著;反之,拒绝原假设,即趋势显著。 在坐标轴上绘制两条曲线,若相交,则交点为突变点。这就是Mall-Kendall法。(Mall-Kendall to climate and underlying surface consistent i
奇异值确定K
- 根据奇异值分解出来的奇异值,画出奇异值分布曲线,根据公式算出奇异值的突变点,此时突变点即是VMD分解分量数的K值(According to the singular value decomposed by singular value, the distribution curve of singular value is drawn, and the mutation point of singular value is calculated according to the formula.
BandGapUnitCell_Hexagon(T-M-K)
- 用于简单的六角形晶体的能带分析,运用k值扫描方法,能够较为准确的模拟出能带分布情况。(It is used for energy band analysis of simple hexagonal crystals, and the k-value scanning method can be used to accurately simulate the energy band distribution.)