搜索资源列表
wavelet_matlab_code.rar
- 2代小波示意程序 2维小波变换经典程序 Daubechies小波基的构造 采用多孔trous算法(undecimated wavelet transform)实现小波变换 平移变换平移法(cycle_spinning)消除gibbs效应 提升法97经典程序 消失矩作用的程序 小波插值与小波构造 小波滤波器构造和消噪程序 小波谱分析mallat算法经典程序,2 Generation Wavelet indicated procedures classic 2-D wavelet
log_normal
- 产生LogNormal分布的相干相关高斯谱杂波序列。相关-Generated LogNormal Gaussian spectral distribution of coherent clutter-related sequences. Production of correlation sequences using frequency-domain method.
F1
- AR谱估计算法的matlab仿真，包括Yule-Walker方法、协方差方法、修正协方差方法和burg递推法等-AR spectral estimation algorithm matlab simulation, including the Yule-Walker method, covariance method, modified covariance method and the recursive law burg
xiangWeiCha
- 是一些 数字相关法的论文 1.FFT法与数字相关法在相位测量上的比较.pdf 2.采用数字相关法测量相位差.pdf 3.基于FFT谱分析算法的高精度相位差测量方法.pdf 4.基于Hilbert变换的相位测量法与数字相关测相法的比较.pdf 5.基于虚拟仪器技术和互相关原理的相位测量仪.pdf 6.数字化相位差测量算法的研究.pdf 7.相位差的数字化测量研究.pdf 8.虚拟仪器测量周期信号相位的仿真设计.pdf-Are some figures
MUSIC
- MUSIC谱估计方法，用matlab编写的源代码，已经通过验证-MUSIC spectral estimation method, the preparation of the matlab source code has been validated
4
- 运用自相关方法，估计语音信号的声道参数，绘出随预测增加时语音信号的LPC谱包络曲线，并与FFT谱比较。-Using autocorrelation method to estimate the channel parameters of speech signals, when plotted with the predicted increase in LPC speech signal spectral envelope curve, and compared with the FFT sp
Periodogram-powe
- 平均周期图法和平滑平均周期图法估计功率谱 从经典功率谱估计周期图法原理入手，从理论上分析了其存在的局限性，借助Welch算法对其进行修正。依靠Matlab强大的数值分析和信号处理能力进行实验!! 用周期图法和welch法分别估计了一下信号的功率谱密度。采样频率200Hz，时间序列长度2048，FFT数据点数2048。其中welch法使用hanning窗，窗口长度600．-Average periodogram and periodogram smoothing method to est
pujianfa
- 基于谱减法的语音增强算法，谱相减法及其变形方法总体上运算量较小，容易实时实现，增强效果也较好，是目前最常用的一种方法-Spectral subtraction based speech enhancement algorithm, spectral subtraction method and the deformation of the whole volume of the smaller operations, easy real-time implementation, and enha
tftb2002
- matlab程序，高阶谱分析，信号谱分析的方法一起就存在了，高价谱分析是当代信号处理的主要工具。--Matlab procedures, higher order spectral analysis, signal spectral analysis method in existence, high spectral analysis of contemporary signal processing major tools.
ARburg
- AR模型，用伯格法求谱估计曲线，算法简单实用-AR model method using Burg spectral estimation curve, the algorithm is simple and practical
NcutClustering
- 谱聚类和SVM相结合的图像分割程序,这是用matlab编的谱聚类程序，该方法能有效的用于数据分类。-This is a matlab procedures for the spectral clustering.The method is effective for data classification.
MMSEpujian
- 这个是语音信号处理里面的基于MMSE的谱减法增强处理程序，此种方法是我见过消除噪声最好的！-This is the speech signal processing inside the MMSE-based spectral subtraction to enhance handling procedures, this method is the elimination of noise, the best I' ve ever seen!
lsyqc
- 现代谱估计的matlab的程序。用的是最小二乘法。-Modern Spectral Estimation matlab procedures. Using a least squares method.
fangzhen1_tls
- ARMA谱估计-AR参数估计的总体最小二乘法-ARMA spectral estimation-AR parameter estimation of the overall least square method
suijixinhaochuli
- 随机变量的产生，其中指数分布的和高斯分布的随机变量采用了变换法，分析它的自相关函数和功率谱密度，-The selection of random variables, in which exponential distribution and Gaussian distribution of random variables using the transformation method, analysis of its autocorrelation function and power sp
yanminfu
- 概率的功率，及其功率谱密度的求法，好好看看对大家有好处的哦 -Probability of power, and its power spectral density method, a good look at all of you good oh
puguji
- 现代谱估计的源程序，包括直接法，间接法和窗函数法-Modern Spectral Estimation of source, including direct, indirect method and the window function method
cwtexe
- 97 law to enhance the classic procedure Ridge wavelet extraction Modulus maximum for the wavelet edge detection Small spectral analysis method mallat classic procedure-97 law to enhance the classic procedure Ridge wavelet extraction Modulus
moni
- 用正交调制方法实现模拟调制，包括AM,DSB,SSB,LSB,FM,AM-FM等，实现后，显示时域波形和功率谱密度-Orthogonal modulation method used for analog modulation, including AM, DSB, SSB, LSB, FM, AM-FM, etc., we can show the time-domain waveform and power spectral density
ArtificialEarthquakes
- 本程序利用反应谱转换为功率谱方法模拟人造地震波,考虑了反映基岩特性的谱参数 .-This procedure is converted to the use of response spectrum method, we simulate the power spectrum of artificial seismic waves, considered the bedrock of the spectral characteristics of the parameters.