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sub
- i upload spectral-subtractive method for specch enhancement.with matlab progra-i upload spectral-subtractive method for specch enhancement.with matlab programm
GenerationOfTheLog-normalDistributionClutter
- 本程序已被本人整理到WORD文档中，编程语言为MATLAB，本文设计的滤波器采用傅里叶级数展开法。模拟的杂波的功率谱密度采用BVURG法，概率密度函数的估计采用直方图估计法，设计参数皆在文档中表明。此程序已经验证是正确可执行的，并能生成图形，值得下载！-This program has been organized into WORD document I, the programming language MATLAB, the filter designed in this paper Fo
PCA_for_3_component_compound
- 该程序旨在模拟处理分析多种化学物质混合物的吸收光谱数据，提取出各个化学成分的峰值所在。该程序采用svd方法对光谱数据的协方差矩阵进行PCA分析，并且取得令人满意的效果。-The program designed to simulate the processing and analysis of multiple chemical mixtures of the absorption spectra of the data, extracting the chemical composition
wojieliuliangji
- 涡街流量计数字信号处理系统的改进与实验 本文针对涡街流量计数字信号处理系统存在的不能测量小流量和易受电磁干扰的问题,对其软硬件方面进行了 改进。重新设计和研制了电荷放大器,提高了灵敏度,增强了适配能力。采取了合理的接地和屏蔽措施,提高了系统的抗干 扰能力。采用去均值和频谱校正的方法,改善了系统的测量精度。编制键盘监控软件,采用状态变量法设计键值分析程序, 实现人机对话功能。进行了液体流量和气体流量的标定实验,结果表明,改进后的数字信号处理系统比常规的流量计信号处 理
i
- 基于概率扩散的多光谱遥感图像分类模型 效果绝对由于传统分类方法-Based on the probability of the spread of multi-spectral remote sensing image classification model of the absolute effect of traditional classification method
n
- 用于高光谱遥感图像分类的空间约束高斯过程方法-For high-spectral remote sensing image classification method of spatial constraints Gaussian process
noise_reduction_technique
- duction techniques proposed in the art are expressed as a spectral gain depending on the a priori SNR. In the well-known decision- directed approach, the a priori SNR depends on the speech spec- trum estimation in the previous frame. As a conse
Welch
- 这是基于周期图改进的welch的功率谱估计，这种方法是在经典周期图的基础上改进而来的，效果很不错-This is based on the improved welch periodogram power spectral estimation, this method is based on the classical periodogram improvement came, the effect is very good
puguji
- 实现了谱估计的算法，Matlab实现了直接法、间接法和改进的直接法谱估计的功能。-Achieved a spectral estimation algorithm, Matlab implementation of the direct method, indirect method and direct method of spectral estimation to improve function.
program
- 根据ARMA模型中Kaveh谱估计方法用C++求出仿真观测数据的功率谱密度-According to Kaveh ARMA model spectral estimation method using C++ simulation of the observation data obtained power spectral density
daima
- 随机信号谱分析技术实现 随机信号谱估计及质量评价。 离散随机信号通过线性时不变系统时，系统所产生的响应。 功率谱估计的实现方法：自相关函数法、周期图法、Bartlett法、Welch法、MTM法、MUSIC法 -Random signal spectral analysis of random signal spectral estimation and quality evaluation. Discrete random signals through linear system
SystemDynamics
- 系统动力学的大作业，利用状态方程方法求解二阶系统的频响与时间响应，并作谱分析-Dynamics of large operations, using the state equation method for solving second-order system frequency response and time response, and for spectral analysis
Burg3
- 本文通过对目前常用的现代谱估计方法一一最大墒谱估计方法中的谱 峰幅度和谱线分辫率两个基本问题的分析和讨论，和经典的傅立叶谱估计方法作比 较，指出在最大墒谱估计方法的应用中应注意的几个问题。 -Based on the currently used modern spectral estimation method 11 method of maximum entropy spectral estimation of the spectral peak amplitude and sp
fetaure_extraction_lidar
- With the rapid development of remote sensing technology, three dimensional coordinates and intensity information of observation target can be obtained directly from LIDAR system. It is one of the important issues in the study on LIDAR data process
shibie
- 基于奇异值分解的人脸识别方法 梁毅雄 龚卫国 潘英俊 李伟红 刘嘉敏 张红梅 提出了一种将傅里叶变换和奇异值分解相结合的人脸自动识别方法.首先对人脸图像进行傅里叶变换,得到其具有位移不变特性的振幅谱表征.其次,从所有训练图像样本的振幅谱表征中给定标准脸并对其进行奇异值分解,求出标准特征矩阵,再将人脸的振幅谱表征投影到标准特征矩阵后得到的投影系数作为该人脸的模式特征.然后,对经典的最近邻分类器算法进行了改进,并采用模式特征之间的欧式距离作为相似性度量,从而完成对未知人脸的识别.采用ORL
whytls
- 加有高斯白噪声的两个正弦信号的的观测数据，分别用最小二乘法和总体最小二乘法估计其功率谱，并对两种方法的谱分析进行了比较-Plus a Gaussian white noise of the two sinusoidal signals of observational data, were used least squares and total least squares method to estimate the power spectrum, and spectral analysis
window
- 分别用非参数化谱估计中的直接法，间接法和加窗法对离散随机过程的已零均值化的N个数据样本估计了离散信号的谱密度。-Were non-parametric spectral estimation of the direct method, indirect method and windowing method, discrete stochastic process has zero mean the data of the N-sample estimates of the spectral d
xiaoboDCT
- 在MATLAB中采用DCT的方法及小波分解的方法分别对多光谱图像进行数据融合。-DCT in MATLAB, using the method and the method of wavelet multi-spectral images respectively for data fusion.
LargestLyapunov_Rosenstein
- 最大lyapunov指数谱的计算，采用wolf方法，且进行了功率谱分析-Lyapunov index spectrum of the largest, with wolf method and spectral analysis carried out
language
- 高级数字信号处理，用各种方法包括music算法、burg法、布莱克曼法、协方差法、周期图法、自相关法进行谱估计，-Advanced digital signal processing, algorithms in various ways, including music, burg method, Blackman method, covariance method, periodogram, autocorrelation method, spectral estimation,