搜索资源列表
lattice
- lattice.c contains the normalized lattice filter routines (MA and AR) for iSAC codec. -lattice.c contains the normalized lattice filter routines (MA and AR) for iSAC codec.
bwexpander
- I O AR filter to be expanded (without leading 1).
ARTime_invariant
- 由AR模型识别悬臂梁模态的稳定图法,输入为悬臂梁振动响应信号。-model identification with AR modal
RAMA
- 实验正确估计出了AR参数，而且随着x序列长度的不断增长，估计的误差越来越小，但到达一定程度后，AR参数值基本保持稳定（不再变化或变化很小）。为了能够最优的估计出AR参数，同时兼顾程序的处理速度，序列长度的选择一定要适当。本程序得出的稳定结果是在序列长度为10000000时得出来的。- Experimental correctly estimate the AR parameters, and with growing x sequence length, estimated error ge
exception
- Convert AR filter coefficients to NLSF parameters.
ar
- Parse the archive-member reference NAME into the archive and member names.
net_tstamp
- This file contains definitions of tables with AR coefficients, Gain coefficients and cosine tables.
bwexpander_32
- Chirp (bandwidth expand) LP AR filter.
pl080
- arch arm plat-spear pl080.c D M A C pl080 definitions for S P E Ar platform. -arch arm plat-spear pl080.c D M A C pl080 definitions for S P E Ar platform.
ARdome2
- AR增强现实技术（完整版），操作流程，打开media中的图片，相机对准图片，会出现一个3D茶壶-AR augmented reality technology (full version), the operating process, open the media in the picture, the camera on the picture, there will be a 3D teapot
ar
- Linux Device Driver: portable (ascii) format version.
Frequency_estimating
- 多种算法实现的频率估计，包括FFT\AR\MUSIC\ESPRIT等，包含源码-frequency estimating by FFT\AR\MUSIC\ESPRIT in matlab
Untitled3
- 用Levinson-Durbin算法进行AR模型谱估计-Levinson-Durbin algorithm using AR model spectrum estimation
AR_MED_filter
- Based on AR filtering of data processing, can be very convenient to extract the feature value
burg
- burg算法实现函数、时间序列估计AR模型系数-burg algorithm function, time-series AR model coefficients
lsl_lms
- 自适应滤波器设计，信号模型是AR模型，实现LSL和LMS，并进行比较。-adaptive filter design in which original signal is produced by AR model. LSL and LMS are contained in this file.
AR
- 基于C++编写的时间序列建模，可以通过函数直接求得各阶系数值-Based on time series modeling C++ written, it can be obtained directly by each order coefficient function
AR-model
- 时间序列分析是根据系统观测得到的时间序列数据，通过曲线拟合和参数估计来建立数学模型的理论和方法-auto regression model
burgaic
- 基于AR模型参数的BP神经网络模式分类，包括特征提取和神经网络训练-BP neural network model is based on the classification of AR model parameters, including feature extraction and neural network training
1
- 观测随机过程通过滤波器后，输出和输入过程的统计特性所发生的变化。 a. 生成 的24个样本值。 b. 在理论上计算真实的自相关序列，并与xcorr计算的样本自相关序列相比； c. 对估计的自相关序列采用fft来计算功率谱，画出功率谱； d. 用估计的自相关序列和Yule-Walker方程来计算模型参数，并与理论结果相比。 e. 直接用估计的模型参数代入AR模型的功率谱中，画出该功率谱； -After observing the random process through