Search - MATLAB density function

Search - MATLAB density function - List

[matlab] guzhangzhenduanprogram DL : 0: 自己编写的比较全面的故障诊断matlab函数程序，包括统计法、时域法、时间序列法、频谱及功率普密度函数、小波分析法程序中有详细的说明。-their preparation of a more comprehensive fault diagnosis Matlab function procedures, including statistics, time domain, time series, and power spectral density function Pronk, wavelet analysis procedures are described in detail.
Date : 2025-12-18 Size : 17kb User : suzhixiao
[matlab] parzen DL : 0: parzen窗法，功能是根据样本进行概率密度函数估计。实现了对正态分布概率密度函数和均匀分布双峰概密函数进行估计-Parzen window method, function is based on a sample of the estimated probability density function. The realization of the normal distribution probability density function and uniform distribution Bimodal density function is estimated over
Date : 2025-12-18 Size : 3kb User : 陈坚
[matlab] power DL : 0: MATLAB环境下的直接法间接法和welch法源程序和谱密度函数的曲线比较-MATLAB environment direct and indirect source Welch law and spectral density function of the curve
Date : 2025-12-18 Size : 55kb User : 凌丽
[matlab] MeanShift DL : 0: Mean Shift 这个概念最早是由Fukunaga等人[1]于1975年在一篇关于概率密度梯度函数的估计中提出来的,其最初含义正如其名,就是偏移的均值向量,在这里Mean Shift是一个名词,它指代的是一个向量,但随着Mean Shift理论的发展,Mean Shift的含义也发生了变化,如果我们说Mean Shift算法,一般是指一个迭代的步骤,即先算出当前点的偏移均值,移动该点到其偏移均值,然后以此为新的起始点,继续移动,直到满足一定的条件结束. 用matlab实现mean shift算法仿真-Mean Shift the concept was first used by Fukunaga et al [1] in 1975 in an article on the probability density function estimation of gradient raised its original meaning, as its name implies, is the offset of the mean vector, where is the Mean Shift a noun, it refers to a vector, but with the Mean Shift the development of the theory, Mean Shift the meaning has changed, if we say that Mean Shift algorithm, generally refers to an iterative steps, namely, first calculate the current point Mean offset, move the shift points to its average, and then as a new starting point and continue to move until the end to meet certain conditions. realize using mean shift algorithm matlab simulation
Date : 2025-12-18 Size : 264kb User : maolei
[matlab] CH3 DL : 0: L3_1.m: 純量量化器的設計(程式) L3_2.m: 量化造成的假輪廓(程式) L3_3.m: 向量量化器之碼簿的產生(程式) L3_4.m: 利用LBG訓練三個不同大小與維度的碼簿並分別進行VQ(程式) gau.m: ML量化器設計中分母的計算式(函式) gau1.m: ML量化器設計中分子的計算式(函式) LBG.m: LBG訓練法(函式) quantize.m:高斯機率密度函數的非均勻量化(函式) VQ.m: 向量量化(函式) L3_2.bmp: 影像檔 lena.mat: Matlab的矩陣變數檔 -L3_1.m: scalar quantizer design (the program) L3_2.m: quantitative result of the false contour (the program) L3_3.m: Vector quantizer code book of the generation (the program) L3_4.m: training in the use of LBG three different size and dimension of the code book and separate VQ (program) gau.m: ML quantizer design in the denominator of the calculation formula (function) gau1.m: ML quantizer design in the calculation of molecule-type ( function) LBG.m: LBG training method (function) quantize.m: Gaussian probability density function of the non-uniform quantization (function) VQ.m: vector quantization (function) L3_2.bmp: image file lena.mat: Matlab matrix variable file
Date : 2025-12-18 Size : 187kb User : Oki
[matlab] ML DL : 1: 该算法是经典的信噪比估计算法——最大似然估计算法，利用接收信道的先验概率密度函数，ML法能够很好的估计信号的信噪比-The algorithm is a classic signal to noise ratio estimation algorithm- maximum likelihood estimation algorithm, using the a priori receiver channel probability density function, ML method can be a very good signal to noise ratio is estimated
Date : 2025-12-18 Size : 1kb User : 贾小勇
[matlab] kde.tar DL : 0: kde全称是kernel density estimation.基于核函数的概率密度估计方法。是模式识别中常用的算法之一-KDE which is kernel density estimation is used to estimate probabilty function. It is mostly used in pattern recogntion
Date : 2025-12-18 Size : 2.17mb User : herman
[matlab] gailvlunkechengsheji DL : 0: （一）目的：通过对常用的概率密度函数和分布函数的应用，达到熟练掌握概率密度函数和分布函数调用方法的目的。（二）任务：对实际的案例进行分析，调用相应概率密度函数和分布函数，使用MATLAB软件计算其结果。（三）要求：理解概率密度函数和分布函数，能够解决实际问题。 -(A) Purpose: used by the probability density function and distribution function of the application, to master the probability density function and distribution methods of the purpose of function call. (B) tasks: the actual analysis of the case, call the corresponding probability density function and distribution function, the use of MATLAB software to calculate their results. (C) requirements: understanding of the probability density function and distribution function, to solve practical problems.
Date : 2025-12-18 Size : 69kb User : 猫猫
[matlab] wavelet_packet_denoise DL : 0: 基于小波包分解的语音去噪，根据熵谱概率密度函数估计阈值，去除实际环境噪声。-Based on wavelet packet decomposition of the voice de-noising, in accordance with spectral entropy probability density function estimated threshold, the actual removal of environmental noise.
Date : 2025-12-18 Size : 1kb User : djf
[matlab] lvpo DL : 0: hht程序代码，小波变换，对比分量的功率谱密度函数图，找出最优小波-hht code, wavelet transform, as compared with the weight of the power spectral density function map to find the optimal wavelet
Date : 2025-12-18 Size : 30kb User : keshitang
[matlab] montercarlo DL : 0: 用monte carlo的方法对Nakagami的概率密度函数进行仿真-Using monte carlo methods for Nakagami probability density function of the simulation
Date : 2025-12-18 Size : 1kb User : 于
[matlab] Rayleigh_PDF DL : 0: Matlab Code for drawing Rayleigh Power Density Function PDF along with phase very solid code and accurate. it compares theoretical values to simulation. -Matlab Code for drawing Rayleigh Power Density Function PDF along with phase very solid code and accurate. it compares theoretical values to simulation.
Date : 2025-12-18 Size : 1kb User : Tariq
[matlab] mseries DL : 0: 产生任意长度的M序列，并计算该M序列的自相关函数和功率谱密度函数。用于系统辨识-Generated sequence of random length M, and calculate the M series autocorrelation and power spectral density function. For system identification
Date : 2025-12-18 Size : 1kb User : 卢润戈
[matlab] Matlab DL : 0: matlab在实现各种概率密度函数方面的相关源代码介绍-matlab probability density function in the realization of various aspects related to the source code description
Date : 2025-12-18 Size : 149kb User : 李遥
[matlab] parzen DL : 0: 二维数据集Parzen方窗非参数估计PDF(概率密度函数)，三维结果显示，有图，有完整说明文档和程序运行说明，matlab编程环境，此为模式识别小作业 parzen-Dimensional data set Parzen Window non-parametric estimation side PDF (probability density function), three-dimensional results show that map, with complete documentation, matlab programming environment, this is the pattern recognition of small operations
Date : 2025-12-18 Size : 330kb User : tianshimao
[matlab] alpha-matlab DL : 0: matlab产生Alpha稳定分布随机数；Alpha稳定分布概率密度函数计算；Alpha稳定分布的分布函数计算等-Matlab produce Alpha stable random number distribution Alpha stability distribution probability density function computing Alpha stability distribution of distribution function is presented
Date : 2025-12-18 Size : 167kb User : 冯讯
[matlab] matlab DL : 0: 根据伪随机序列理论，由混合同余法产生均匀分布的随机数，进而根据中心极限定理来产生高斯噪声。分析所产生的均匀分布和高斯分布随机信号的均值、方差、自相关等数字特征，估计其概率密度函数并进行分析，估计其功率谱密度并进行分析。说明该高斯噪声是否符合白噪声特性。对该高斯噪声进行FIR低通滤波，估计输出低通型限带白噪声的功率谱、相关时间等，并结合白噪声通过线性系统相关理论来进行分析。 -According to the theory of pseudo-random sequence, a uniformly distributed random numbers by mixed congruential method to generate Gaussian noise, and then according to the central limit theorem. Produce a uniform distribution of the analysis and the mean of the Gaussian distribution random signals, variance, since the digital characteristics of the correlation, the probability density function is estimated and analyzed, it is estimated that its power spectral density, and analyzed. The Gaussian noise is in line with the characteristics of white noise. FIR low pass filter of the Gaussian noise, the estimated output of low-pass type band-limited white noise power spectrum, time, etc., combined with the white noise to be analyzed by linear system theory.
Date : 2025-12-18 Size : 1kb User : Lee
[matlab] alpha-matlab DL : 0: alpha分布的概率密度函数，可加以利用产生alpha噪声（有尖峰，拖尾严重）-alpha distribution probability density function can be used to produce alpha-noise (with spikes, trailing serious)
Date : 2025-12-18 Size : 746kb User : liushen
[matlab] lizilvbo DL : 0: 粒子滤波的MATLAB实现，通过寻找一组在状态空间中传播的随机样本来近似的表示概率密度函数，用样本均值代替积分运算，进而获得系统状态的最小方差估计的过程，这些样本被形象的称为“粒子”，故而叫粒子滤波(MATLAB implementation of particle filter,By looking for a set of random samples which are propagated in the state space to approximate the probability density function, the process of the minimum variance estimation of the system state is obtained by replacing the integral operation with the mean of the sample. These samples are called "particles", so they are called particle filtering.)
Date : 2025-12-18 Size : 1kb User : 黄子豪
[matlab] work DL : 0: 自制，绘制常用 Copula函数的概率密度函数图。(Drawing density function diagram of commonly used Copula functions)
Date : 2025-12-18 Size : 1kb User : 笑老

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