-
Linear_Discriminant_Analysis
Linear Discriminant Analysis LDA
- 2010-02-09 21:08:30下载
- 积分:1
-
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 different SNR performance curve.)
- 2021-01-11 19:48:49下载
- 积分:1
-
demo
说明: 基于互质采样-分段相参积累多项式相位变换的微弱线性调频信号检测算法。该代码的相关论文以oral presentation的形式发表于2018年10月在南京举行的IET国际雷达会议。(Multi-component LFM parameter estimation via order-2 DPT
(overlapping and coprime)
Author: Dr. Shengheng LIU)
- 2019-01-06 13:36:56下载
- 积分:1
-
MATLAB-AHP
说明: matlab中做层次分析的有关程序,用的最通行的算法,即矩阵的运算(AHP matlab to do about the procedure, the most prevalent method used, the matrix operation)
- 2011-03-31 09:50:49下载
- 积分:1
-
matlab
MATLAB频谱分析实例~~~希望对大家有用(wave)
- 2010-05-20 14:09:38下载
- 积分:1
-
PARTICLE
粒子滤波 PF( Particle Filtering) 是在
贝叶斯滤波框架下基于 Monte Carlo 采样的统计滤波方法,可解
决非线性、非高斯的滤波问题,声源跟踪就属于这类问题。近年
来,基于粒子滤波的声源跟踪算法已成为研究的热点。
(he real acoustic data recorded in a typi-
cal meeting room using a small-scale microphone array is used for tracking experiments. Results show that the proposed algorithm can realise
effectively the orientation tracking of the randomly walking speaker,in which,the root mean square error of tracking in direction of the hori-
zontal angle and the elevation are all less than 5°.
)
- 2014-11-07 11:30:58下载
- 积分:1
-
radar.m
雷达系统分析基础,线性调频信号模糊函数计算,单脉冲测角等(Radar system analysis based on chirp signal ambiguity function calculated single pulse goniometer.)
- 2012-10-11 10:00:16下载
- 积分:1
-
To_plot_the_Hamming_window_for_filters
hamming window for filter matlab code with example
- 2011-01-14 15:09:19下载
- 积分:1
-
BENCHMARKING-the-STAR-Controller-using-Matlab
realizacion de benchmarking a aguas residuales
- 2014-01-13 22:44:35下载
- 积分:1
-
mvdr_5141040
说明: 最坏情况鲁棒自适应波束形成优化。实际应用中,由于阵元位置的细微偏差、阵元之间的幅度相位响应也不可能完全相同、以及有限采样效应等因素,使得实际的方向矢量与其理想值之间存在误差,严重影响了波束的性能。针对这一问题,论文作者在最坏情况下自适应波束形成方法进行研究,并作比较。(Worst case robust adaptive beamforming optimization. In practical applications, the errors between the actual direction vector and its ideal value are caused by the slight deviation of the element position, the impossibility of identical amplitude and phase responses between the elements, and the limited sampling effect, which seriously affects the performance of the beam. In order to solve this problem, the author of this paper studies and compares the adaptive beamforming methods in the worst case.)
- 2021-01-04 17:38:55下载
- 积分:1