搜索资源列表
joupou_v33
- 粒子图像分割及匹配均为自行编制的子例程，基于互功率谱的时延估计，一种噪声辅助数据分析方法。- Particle image segmentation and matching subroutines themselves are prepared, Based on the time delay estimation of power spectrum, A noise auxiliary data analysis method.
paokang
- 基于互功率谱的时延估计，实现了图像的加水印，去噪，加噪声等功能，欢迎大家下载学习。- Based on the time delay estimation of power spectrum, Realize image watermarking, de-noising, plus noise and other functions, Welcome to download the study.
foumiu
- 分形维数计算的毯子算法matlab代码,独立成分分析算法降低原始数据噪声，基于互功率谱的时延估计。- Fractal dimension calculation algorithm matlab code blankets, Independent component analysis algorithm reduces the raw data noise, Based on the time delay estimation of power spectrum.
fansei
- MIT人工智能实验室的目标识别的源码,基于互功率谱的时延估计，独立成分分析算法降低原始数据噪声。- MIT Artificial Intelligence Laboratory identification of the target source, Based on the time delay estimation of power spectrum, Independent component analysis algorithm reduces the raw data noise.
kaogao_v46
- 利用matlab写成的窄带噪声发生，包括随机梯度算法，相对梯度算法，基于互功率谱的时延估计。- Using matlab written narrowband noise occurs, Including stochastic gradient algorithm, the relative gradient algorithm, Based on the time delay estimation of power spectrum.
xf762
- 主要为数据分析和统计，利用matlab写成的窄带噪声发生，基于互功率谱的时延估计。- Mainly for data analysis and statistics, Using matlab written narrowband noise occurs, Based on the time delay estimation of power spectrum.
normal
- mvdr波束形成器MVDR是一种基于最大信干噪比（SINR）准则的自适应波束形成算法。MVDR算法可以自适应的使阵列输出在期望方向上功率最小同时信干噪比最大。将其应用于空间波数谱估计上可以在很大程度上提高分辨率和噪声抑制性能。-MVDR beamformer MVDR is an adaptive beamforming algorithm based on maximum signal to noise ratio (SINR) criterion. The MVDR algorithm ca
jw173
- 正确率可以达到98％，基于互功率谱的时延估计，独立成分分析算法降低原始数据噪声。- Accuracy can reach 98 , Based on the time delay estimation of power spectrum, Independent component analysis algorithm reduces the raw data noise.
ts553
- 一种噪声辅助数据分析方法,课程设计时编写的matlab程序代码，基于互功率谱的时延估计。- A noise auxiliary data analysis method, Course designed to prepare the matlab program code, Based on the time delay estimation of power spectrum.
ew052
- 利用matlab写成的窄带噪声发生，isodata 迭代自组织的数据分析，基于互功率谱的时延估计。- Using matlab written narrowband noise occurs, Isodata iterative self-organizing data analysis, Based on the time delay estimation of power spectrum.
nqrgn
- 实现了图像的加水印，去噪，加噪声等功能，基于互功率谱的时延估计，计算多重分形非趋势波动分析matlab程序。- Realize image watermarking, de-noising, plus noise and other functions, Based on the time delay estimation of power spectrum, Calculation multifractal detrended fluctuation analysis matlab progr
MVDR
- 波束形成技术和信号空间波数谱估计是自由空间信号阵列处理的两个主要研究方面.MVDR是一种基于最大信干噪比（SINR）准则的自适应波束形成算法。MVDR 算法可以自适应的使阵列输出在期望方向上功率最小同时信干噪比最大。 将其应用于空间波数谱估计上可以在很大程度上提高分辨率和噪声抑制性能。本文将在深入分析MVDR算法原理的基础上，通过计算机仿真和海上试验数据处理的结果， 分析了MVDR算法在高分辨率空间波数谱估计应用中的性能。同时通过比较对角加载前后的数据处理结果，分析对角加载对MVDR的改进
Comparison_Theoretical_and_Estimated__Noise
- 理论高斯白噪声与估计噪声的自相关函数及功率谱密度(Theoretical Gaussian White Noise and Estimated Noise Autocorrelation Function and Power Spectral Density)