搜索资源列表
amp-latency-AR-test
- Burg算法功率谱估计,采样点数nfft不会影响MAX值和位置. s=data22(6,:) s=s(50:150) nfft=2048 fs=500 EEG [px1,f1]=pburg(s,6,nfft,fs) figure plot(f1,px1) title( CI——Burg算法功率谱估计 ) xlabel( Frequency(Hz) ) ylabel( Power ) IndMax=find(diff(sign(diff(p
AR
- 一个维纳滤波器的设计过程，具体是利用公式和定义编写-A Wiener filter design process, specifically the use of formulas and definitions written
ARmodel
- 生成一个正弦信号，使用levinson-durbin算法和最终预测阶数准则FPE估计其AR模型的阶数，并且通过解Yule-Walker方程求得AR模型的参数，进而求得该正弦信号的功率谱-Generating a sinusoidal signal, using levinson-durbin algorithm to predict the order and final order of the criteria FPE estimates its AR model and AR model
burgyulear
- 关于AR模型的burg、yulear功率谱估计算法，与系统自带的pburg相比，精确度更高-ar burg yulear
Modern-methods-of-spectrum-analysis
- 噪声中正弦信号的现代法频谱分析，自己写的matlab程序一份，包括现代法谱估计中AR模型的自相关法，Burg法，协方差法，改进的协方差法四种估计算法-Modern methods of spectrum analysis
Produtor---consumidor
- 生产者－消费者问题（操作系统）原理与实现： it 分类： Computer Science 生产者-消费者问题是一个经典的进程同步问题，该问题最早由Dijkstra提出，用以演示他提出的信号量机制。在同一个进程地址空间内执行的两个线程生产者线程生产物品，然后将物品放置在一个空缓冲区中供消费者线程消费。消费者线程从缓冲区中获得物品，然后释放缓冲区。当生产者线程生产物品时，如果没有空缓冲区可用，那么生产者线程必须等待消费者线程释放出一个空缓冲区。当消费者线程消费物品时，如果没有满的缓冲区，那
correction-automatique
- Propose corrections > possible a French word / English AR Possibly >> its anagrams And the word >> excite, its translation into a second language will be available on Dictionaries used are not complete to this memory space
aar
- This code is about adaptive autoregressive. you can find AR coefficient.
aarmam
- This code is about moving average and adaptive autoregressive. you can find AR Coefficient.
work
- 利用LS-TLS算法估计ARMA模型中AR参数估计谱功率密度-Use LS-TLS algorithm to estimate the ARMA model parameter estimation AR spectral power density
VBAR
- 准确混合噪声的成分,使AR模型的使用范围更为广泛。-Accurate mixing noise ingredients to make use of a wider range of AR model.
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
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.
4
- AR model for speech synthesis
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.