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offset
- estimate offset time for pulse that modulate in bpsk and compare pe to snr with without offset . we assume offset is between 0 to 4
basic_iterative
- This is a matlab program using the most-likelihood method to estimate the frequency of a sinusoid wave. Also, a basic filter is provided to check the benefit from using that. The result show that ML method reacches CRB at normal SNR.
iterative_SNR_est
- This is a matlab program using the most liklihood method to estimate the SNR of a sinusoid wave. The experiment shows that it works well at normal SNR, while the noise is Gausian.
GMSK
- 对于给定信噪比的通信系统，估计差错概率,数据调制采用GMSK-Estimate error probability for a given SNR communications system,the data modulation method is GMSK
MIMORadarDOAEstimation
- MIMO雷达模型下一种子空间谱估计方法，采用过估计的方法，以避免信源数估计的问题，直接对数据协方差矩阵进行变换，从而构造了信号子空间投影矩阵和噪声子空间投影矩阵，不需要像经典的MUSIC一样对其进行特征分解，完全避开了在一般非理想情况下MUSIC算法必须面对的识别小特征值与大特征值的麻烦，降低了复杂度，而且该方法不受快拍数的影响，在相干源情况下也能准确的估计目标的入射角，不会出现伪峰。-A subspace based DOA (Direction-Of-Arrival) estimation
matlab
- 利用mcra的方法对噪声功率谱估计达到语音增强的目的-estimate the spectrum of the noise in order to enhance the SNR of the speech
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
OFDM-channel-estimate
- 本程序给出了OFDM信道的仿真，直接运行主函数OFDM_test即可，给出了信道BER随SNR的关系。-This procedure gives a simulation of OFDM channel and run directly the main function OFDM_test can, given the relationship between the channel BER with SNR.
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:
pinlv
- 采用改进的RIFE算法，在低信噪比下也能较准确的估计出信号频率-RIFE using improved algorithms at low SNR can be more accurate estimate of the frequency of the signal
wideband-DOA-estimation
- 提出了一种新的宽带DOA估计方法:频域子空间正交性测试方法(TOFS:Test of orthogonality of frequency sub- space)。该方法通过同时测试频域信号共同带宽内各频段噪声子空间与阵列流形之间的正交性来进行DOA估计。与宽带相干信号子空间方法不同,TOFS方法不需要任何初始值的预估及聚焦操作。与宽带非相干信号子空间方法也不同,TOFS方法同时测试各频段噪声子空间与阵列流形之间的正交性。本文仿真了TOFS与IMUSIC、CSSM、TOPS的性能比较。仿真结果表
Desktop
- 跳频信号参数估计。参数为跳速、跳时和跳频频率集。文档包括一个短时傅里叶变换函数，一个参数估计函数，一个参数估计相对误差随SNR的曲线图和一个时频分析图。-Frequency hopping signal parameter estimation.Parameters for speed, to jump and jump frequency set.Document includes a function of the short-time Fourier transform, a parame
music.2
- 对波达方向进行估计，通过MUSIC算法估计波达方向，利用MATLAB进行仿真，观察DOA估计与信噪比的关系-For DOA estimate DOA estimated by MUSIC algorithm using MATLAB simulation, observation DOA Estimation and SNR relationship
WIMAXsource
- WIMAX_WZ_withencoding:信道估计，相位噪声补偿，频偏估计，编解码都有 WIMAX_WZ_withoutencoding：在上面的工程基础上，去掉编解码部分 WIMAX_WZ_withoutprocessing：在上面的工程基础上，再去掉相位噪声补偿，频偏估计 WIMAX_WZ_withoutprocessing2：在上面的工程基础上，改用新的前导和导频联合信道估计方案,参考文档《基于802_16d标准的OFDM信道估计技术的研究与实现.kdh》 因为白噪
SNR_estimation
- 采用子空间法进行信号信噪比盲估计，该方法无需任何先验知识，使用范围大。(The subspace method is used to estimate the signal to noise ratio (SNR) blindly. This method does not require any prior knowledge and has a wide range of applications.)
doa
- 利用经典music算法，旋转不变子空间算法，实现对雷达到达方向角的估计，并分析了信噪比对算法的影响。(The classical music algorithm and rotation invariant subspace algorithm are used to estimate the radar arrival angle and the effect of SNR on the algorithm is analyzed.)