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spectrum-estimation
- 功率谱估计是利用有限长的数据估计信号的功率谱,广泛应用于各个领域。功率谱估计主要分为经典谱估计与现代谱估计。常用的经典谱估计方法有周期图法,相关法,周期图的改进法,常用的现代谱估计方法有最大熵谱估计,AR模型,MA模型,ARMA模型。经典谱估计适用于长序列的信号,其主要缺陷是描述功率谱波动的数字特征方差性能差,频率分辨率低,现代谱估计适用于短序列的信号,旨在改善谱估计的分辨率,并将其应用于实际地震资料的谱分析。 -Power spectrum estimation is the use of
xizaipufenxi
- 包含了两种现代谱分析方法,即AR模型法与bartlett法,对信号的分析有重要作用。-Contains two modern spectral analysis method, namely the AR model law and bartlett method for analyzing signals an important role.
ARToolKit
- ARToolKit 用例,里面有一些用于开发ar的例子,非常好用,都是用c写的,需要装vs03或以上版本-really good examples for ar developing,you have it ,you will be a great ar developer!trust me!
MATLAB-_AR
- 用MATLAB编程求AR参数,并采用FPE估计AR阶数-AR parameters uated using MATLAB programming, and the use of FPE estimated AR order
bandpass
- 带通滤波 利用自适应AR模型,滤除0.9Hz以下和1.1Hz以上波形-Bandpass filter using adaptive AR model, filter below 0.9Hz and 1.1Hz above waveform
Untitled5
- 令信号长度为N=256,用Levinson-Durbin迭代法解16阶AR模型的功率谱,程度可用-So that the signal of length N = 256, 16-step solution of the power spectrum of the AR model using Levinson-Durbin iterative method, the extent of the available
Des11ktop
- 【谷速软件】matlab代做编程 GUI AR镀膜半导体激光器 可以作为参考使用-[Valley] matlab generation speed software to do the programming GUI AR coating semiconductor lasers can be used as references
Airc
- 对一个时间序列进行AR谱估计,可以应用于经济领域。-Do a AR spectrum estimation to time series, which can be applied in economics.
AR_Levinson_Durbin
- 画出AR谱,使用LevinsonDurbin算法,可以直接运行-AR Spectrum using LevinsonDurbin
ARsimu
- 采用AR法模拟风速,计算时间较短,但精度相对于谐波叠加法略差-AR method using simulated wind speed, the calculation time is shorter, but the accuracy is slightly worse relative to the harmonic superposition
4
- AR model for speech synthesis
ARDrone_SDK_1_7_Developer_Guide
- AR Drone 2.0 Developer Guide 1.7
ARDrone_SDK_Version_1_8_20110726.tar
- AR Drone SDK V1.8 Includes: AR.FreeFlight 1.9 iOS example includes the latest AR.Drone firmware update 1.7.4 for the AR.Drone. The firmware update 1.7.4 for the AR.Drone turns the AR.Drone Wi-Fi into Access Point mode. The new SDK includes a
AR_with_remove
- 时间序列分析,AR模型,用于流数据预测与滤波 输入参数:y为原始数据矩阵,p为AR模型的阶数,la为自回归模型的遗忘系数 输出参数:预测值,置信区间,离群点等-Time series analysis, AR model for prediction and filtering data stream input parameters: y original data matrix, p is the order of the AR model, la self-forgetting c
depth_recovery_AR
- 彩色图像指引的深度图像增强,可以良好的修复深度图像-Color-Guide Depth Recovery with AR method
ARModel-wind
- 风载荷,用AR方法编的描述空间风场的Matlab程序-wind loading
source-code
- Contains NS2 codes for AR-MAC protocol and various routing protocol
weinalvbo
- 设计一维纳滤波器。 (1)产生三组观测数据,首先根据s(n)=as(n-1)+w(n)产生信号s(n),将其加噪(信噪比分别为20dB,10dB,6dB),得到观测数据x1(n),x2(n),x3(n)。 (2)估计xi(n),i=1,2,3的AR模型参数。假设信号长度为L,AR模型阶数为N,分析实验结果,并讨论改变L,N对实验结果的影响。 -Design a Wiener filter. (1) generate three sets of observations data, f
SVD_ar
- 用奇异值分解+AR的现代谱估计方法对信号的功率谱进行估计。-Using singular value decomposition AR+ modern spectral estimation method for estimating the power spectrum of the signal
LS_ar
- 用总体最小二乘法+AR的现代谱估计方法对信号的功率谱进行估计。-By total least squares method AR+ modern spectral estimation method for estimating the power spectrum of the signal.