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Description: 用Burg算法估计AR模型参数，进而实现功率谱估计.
形参说明：
x——双精度实型一维数组，长度为n，存放随机序列。
n--整型变量,随机序列的长度。
p--整型变量,AR模型的阶数。
a--双精度实型一维数组，长度为(p十1)。存放AR模型的系数a(0),a(1),...,a(p)。
v--双精度实型指针,它指向预测误差功率，即AR模型激励白噪声的方差。
-with Burg algorithm estimates AR model parameters, thereby realizing the power spectrum estimation. - Participation : x -- double-precision real one-dimensional arrays, length n, storage random sequence. N -- integer variables, random sequence length. P -- integer variables, AR model of order. A -- double-precision real one-dimensional arrays, length (p 10). AR storage coefficient of a model (0), a (1 ),..., a (p). V -- double precision real-pointer, it forecast errors at power, AR model that inspired the white noise variance.
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Size: 22982 |
Author: lkz |
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Description: 计算ARMA(p，q)模型的功率谱密度。
形参说明：
b——双精度实型一维数组，长度为(q+1),存放ARMA(p，q)模型的滑动平均系数。
a——双精度实型一维数组，长度为(p+1),存放ARMA(p,q)模型的自回归系数。
q——整型变量,ARMA(p,q)模型的滑动平均阶数。
p——整型变量,ARMA(p,q)模型的自回归阶数。
sigma2——双精度实型变量,ARMA(p,q)模型白噪声激励的方差。
fs——双精度实型变量,采样频率(Hz)。
x——双精度实型一维数组,长度为len。当sign＝0时，存放功率谱密度；当sign＝
1时，存放用分贝表示的功率谱密度。
freq——双精度实型一维数组，长度为len。存放功率谱密度所对应的频率。
len——整型变量，功率谱密度的数据点数。
sign——整型变量,当sign＝0时，计算功率谱密度；当sign＝1时，计算用分贝表
示的功率谱密度。
-calculated ARMA (p, q) model of the power spectral density. - Participation : b -- double-precision real one-dimensional arrays, length (q 1), storage ARMA (p, q) model of the average coefficient of sliding. A -- double-precision real one-dimensional arrays, length (p 1), storage ARMA (p, q) model of regression coefficients. Q -- integer variables, ARMA (p, q) moving average model of order. P -- integer variables, ARMA (p, q) model of order since the reunification. Sigma2 -- double precision real-type variables, ARMA (p, q) model white noise variance. Fs -- double precision real-type variables, sampling frequency (Hz). X -- double-precision real one-dimensional array, the length of len. When the sign = 0, storage power spectral density; When the sign = 1:00, storage decibel levels, said th
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Size: 24159 |
Author: lkz |
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Description: 高斯白噪声的算法源代码，用于通信系统的matlab编程-Gaussian white noise algorithm source code for communications systems Matlab programming
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Size: 1177 |
Author: 刘志新 |
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Description: 不用matlab里面的函数，自己写出来的2ASK的仿真程序，加入了白噪声，经过滤波后的波形有些变形，可能是滤波器的原因。仅供参考。-inside Matlab not a function of their 2ASK written by the simulation program, joined the white noise, filtered waveforms after some deformation, the filter may be reasons. For reference purposes only.
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Size: 1935 |
Author: 吴杰 |
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Description: 时间序列分析，分析序列是否是 白色噪声，分析相关性，可以进一步判断序列的相关和自相关-time series analysis, whether the sequence is white noise, correlation analysis, further sequence of judgment and autocorrelation
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Size: 10028698 |
Author: 祝世虎 |
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Description: 产生带白噪声的正弦信号组合，并用自适应滤波器滤除-white noise generated with the combination of sinusoidal signal, and uses an adaptive filter to filter
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Size: 15292 |
Author: 何震 |
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Description: 自己编的LMS自适应算法的MATLAB源程序
本程序内容：
产生一个信号+白噪声序列，用lms算法自适应去除噪声；
lmsx.m为自适应函数
task2.m为主函数,其中调用lmsx.m
-own series of the LMS algorithm MATLAB source of this program : produce a white noise signal sequence, using LMS adaptive algorithm for removing noise; Lmsx.m of adaptive function task2.m main function, which calls lmsx.m
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Size: 959 |
Author: 通信学生 |
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Description: 实现4psk调制的源程序，以及对应的在白噪声信道下的系统性能-achieve 4psk modulation source, as well as corresponding white noise in the channel system performance
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Size: 2328 |
Author: 吴非 |
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Description: 实现16QAM的算法程序，包含在白噪声信道条件下的性能实现程序-achieve 16QAM algorithm procedures contained in the white noise channel conditions of the performance of procedures
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Size: 2104 |
Author: 吴非 |
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Description: 产生高斯白噪声，使用matlab编辑及仿真，均值为零-have a Gaussian white noise, editing and the use of Matlab simulation, mean zero
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Size: 1851 |
Author: 吴强 |
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Description: 信号生成:可以生成各种类型的信号包括正弦波、方波、三角波、扫频信号、调幅波、白噪声、窄带随机信号等-signal generation : can generate all types of signals, including sine, square, triangle wave, sweep signal amplitude wave, white noise, narrowband random signals
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Size: 368971 |
Author: 唐传兵 |
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Description: 利用混和同余法编写的白噪声程序 Matlab开发环境-I use the same mixture prepared by the Law white noise process development environment Matlab
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Size: 2626 |
Author: 呵呵 |
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Description: 利用随机方法产生-1 +1 分布的白噪声-using random methods -1 1 distribution of white noise
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Size: 2599 |
Author: 呵呵 |
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Description: matlab 的白噪声， -Matlab white noise, the white noise Matlab and Matlab white noise, the white noise Matlab,
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Size: 8965 |
Author: 代健美 |
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Description: 带瑞丽衰落信道高斯白噪声的QPSK调制解调信道，可以得到功率谱波形和星座图-with Ruili fading channel Gaussian white noise QPSK demodulator access that can be power spectrum waveform and constellation
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Size: 52531 |
Author: 吕军红 |
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Description: 本程序用matlab生成白噪声，并且基于一个离散线性随机系统的模型生成了y(k)和x(k)，绘制出了x(k|k-1)和x(k)的对比曲线，求出了提前一步预报的误差协方差阵的稳定值-the procedures used Matlab generate white noise, and on a discrete linear stochastic systems model generated y (k) and x (k), mapping out the x (k | k-1) and x (k) contrast curves, get a step ahead forecasting error covariance matrix of stable value
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Size: 1086 |
Author: 孙磊 |
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Description: 采用MUSIC方法的白噪声频率检测仿真
-use of white noise frequency Detection Simulation
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Size: 231146 |
Author: 顾东 |
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Description: 通信系统中，信号在传输过程中会叠加上噪声，我们在分析时通常就用高斯白噪声来分析。此程序用来产生高斯白噪声。-communications systems, signal transmission in the process will superimposed on the noise, our analysis is usually used to Gaussian white noise analysis. This procedure used to produce white Gaussian noise.
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Size: 3620 |
Author: 阿双 |
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Description: 多址干扰一直是造成cdma系统容量限制的重要原因，本程序主要模拟了多址干扰对每个用户的影响以及把多址干扰作为高斯白噪声看待时对用户的影响-MAI has been caused CDMA system capacity limit of the important reasons the procedures simulated the MAI for each user to the effects of MAI as a Gaussian white noise when users view the impact
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Size: 17816 |
Author: 王也 |
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Description: Routine mar1psd: To compute the power spectum by AR-model parameters.
Input parameters:
ip : AR model order (integer)
ep : White noise variance of model input (real)
ts : Sample interval in seconds (real)
a : Complex array of AR parameters a(0) to a(ip)
Output parameters:
psdr : Real array of power spectral density values
psdi : Real work array
in chapter 12-Routine : To compute the power spectum by AR-model parame dreadful. Input parameters : ip : AR model order (integer) ep : White noise variance of model input (real) ts : Sample interval in seconds (real) a : Complex array of AR parameters a (0) to a (ip) Out put parameters : psdr : Real array of power spectral density values psd i : Real work array in chapter 12
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Size: 851 |
Author: king_key |
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