搜索资源列表
source-number-estimation
- 源信号数目估计MATLAB程序,包括IAIC,AIC,MDL,IMDL,MEVARC等5种算法,可得到5种算法在不同信噪比条件下的估计准确率性能曲线。-The number of source signals to estimate the MATLAB program, including five kinds of IAIC, AIC, MDL, IMDL, MEVARC algorithm available algorithms estimated accuracy in differe
Untitled2
- 干扰阻塞法的 一个干扰下信噪比同成功率、估计方差等的关系-An interference signal to noise ratio and the success rate, estimated variance relationship
Untitled3
- 两个干扰数目下信噪比同成功概率、估计方差等的关系-Two interference signal to noise ratio with the success rate, estimated variance relationship
Untitled4
- 三个干扰数目下信噪比同成功概率、估计方差等的关系 -The interference of three number of signal to noise ratio with probability of success, such as the relationship between the variance of estimation
azimuth-error-UCA
- 不同信噪比下,均匀圆阵方位角估计性能;谱峰搜索寻找最大值对应坐标;100次试验求均方根误差-azimuth estimation using UCA vernus different SNRs search the spectral peak and fing the maximum 100 trails to get RMSE
elevation-error-UCA
- 均匀圆阵MUSIC算法,不同信噪比下对信号俯仰角估计性能,用均方根误差表示;采用谱峰搜索寻找最大值对应坐标;-UCA MUSIC to estimate elevation angle vernus different SNRs,describe with RMSE search the spectral peak and fing the maximum
sonar2
- 基于平移不变小波变换的多普勒速度声纳输出信号处理.针对水下航行器组合导航系统所使用的多普勒速度声纳输出信号的特点,采用了平移不变小波变换的多分辨率分析的方法,利用Daubechies小波函数,采用了半软阈值去噪的方法,能够在低信噪比的情况下准确地估计多普勒声纳的频移,从含有噪声的多普勒输出信号中提取出原始信号.通过仿真实验表明:采用4层小波分解,算法计算量减小,有效地消除多普勒噪声,从而提高水下组合导航系统的精度. -Doppler speed the sonar output signal p
M=8
- m=8时双极性八电平可调 信噪比 差错估计-m = 8 时 bipolar eight-level adjustable noise ratio error estimated
snr
- 自己编的一个计算信噪比的程序,可用于相应模型的功率谱估计-Made themselves a calculated signal-to-noise ratio of the program can be used for the power spectrum of the corresponding model estimates
RGLS
- 该算法用于自回归输入模型,是一种迭代的算法。其基本思想是基于对数据先进行一次滤波处理,后利用普通最小二乘法对滤波后的数据进行辨识,进而获得无偏一致估计。但是当过程的输出信噪比比较大或模型参数较多时,这种数据白色化处理的可靠性就会下降,辨识结果往往会是有偏估计。数据要充分多,否则辨识精度下降。模型阶次不宜过高。初始值对辨识结果有较大影响。-The algorithm used for autoregressive input model, it is a kind of iterative alg
Multi-component-Chirp-estimation
- 提出一种联合循环平稳法与多普勒模糊数搜索法的多分量Chirp信号相位参数精确估计算法,与已有循环平稳算法相比,该算法的相位参数取值范围不受限,低信噪比下的相位参 数估计精度约提高30 dB-Smooth fuzzy numbers and Doppler search method for multi-component the Chirp signal phase parameters the precise estimation algorithm, compared with exis
on-the-modulation-technology-in-OFDM
- 在 OFDM 数学原理和收发模型的基础上,本文对帧同步、定时同步、频率同 步和采样同步给 OFDM 系统所产生的影响进行了理论分析,同时讨论了基于循环 前缀或训练符号的典型 OFDM 同步算法。参考 802.11a 突发数据帧结构和系统参 数,分析几种 OFDM 同步算法用于突发分组传输的性能;在分析了几种经典的信 道估计算法基础上,通过对复杂度和性能的折衷,选择一种适合本文系统的估计 算法。最后作者提出一种改进型 LS 信道估计算法,该算法考虑了 LS 算法中噪声 的影
MATLAB_rpcedure_basic
- 信道估计程序,包括对多路径信号经过加权后进行最佳信噪比和相位估计-Channel estimation procedures, including multipath signals after weighting the best signal-to-noise ratio and phase estimation
05
- DOA估计与信噪比的关系的MUSIC算法,MATLAB仿真源代码,可完成仿真图形。-DOA Estimation relations with the signal-to-noise ratio MUSIC algorithm, MATLAB simulation source code, to be completed by the simulation graphics.
sumple
- 研究了合成权值的补偿相位估计性能,分析了天线数对算法性能的影响,适合于低信噪比-Studied the synthetic weight to compensate the phase estimation performance, analyzed the antenna effect the performance of the algorithm, is suitable for low signal-to-noise ratio
capon_music_doa
- 利用Capon, MUSIC进行窄带信号空域信号方向估计。比较分辨率性能。观察阵元数、信噪比、快拍数对估计器性能的影响。 -Using Capon, MUSIC for narrowband signal airspace signal direction estimates. Comparative resolution performance. Observe the number of array elements, signal to noise ratio, the number
yy
- 卫星信道信道估计的matlab仿真程序,对不同的插值算法给出比较输出并画出误码率-信噪比曲线-Satellite channel channel estimation matlab simulation program, different interpolation algorithms and draw the comparison output is given BER- SNR curve
OFDM-SINR-blind-estimation
- 基于相关性分析的OFDM系统信干噪比盲估计,一种利用循环前缀进行信道计数估计,和信噪比盲估计的新方法-Correlation analysis based on OFDM system SINR blind estimation, a use of cyclic prefix for channel count estimates, and SNR estimation method of blind
sin-signal-phase-noise
- 该资料是一个matlab仿真程序。实现对噪声中正弦信号相位的估计。利用matlab仿真得到的PDF估计 对不同的信噪比(SNR)情况进行Monte Carlo仿真-This information is a matlab simulation program. Realize sine signal phase noise estimation. Obtained by simulation using matlab PDF estimates different signal to nois
Wiener
- 设计一维纳滤波器 (1)产生三组观测数据:首先根据s(n)=a s(n-1)+w(n)产生信号s(n),将其加噪(信噪比分别为20dB,10 dB,6 dB),得到观测数据x1(n), x2(n), x31(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。 -A Wiener filter design (1) to produce three sets of observations: