four-fast-Fourier-transform

基于KPCA和加权量方法的期刊论文资料，希望对大家有所帮助(KPCA and weighted quantity method based on the journal of material)

MATLAB学习课件 MATLAB是矩阵实验室（Matrix Laboratory）的简称，是美国MathWorks公司出品的商业数学软件，用于算法开发、数据可视化、数据分析以及数值计算的高级技术计算语言和交互式环境，主要包括MATLAB和Simulink两大部分。(MATLAB is MATLAB Matrix Laboratory Learning Software (Matrix Laboratory) for short, is the United States MathWorks, produced a commercial mathematics software for algorithm development, data visualization, data analysis and numerical calculation of high-level technical computing language and interactive environment, MATLAB and Simulink includes two parts.)

卡尔曼算法在通信过程系统辨识中的应用的典型案例(Kalman algorithm in the system Identification )

Finds the roots of a function using the Newton method with line search

改程序实现了mimo的中断容量在仿真区域中的三维分布情况(Procedures to achieve the outage capacity of mimo at the three-dimensional simulation of the regional distribution of)

介绍单矢量水听器的基本知识，单矢量水听器信号处理基础理论及方位估计性能还有一些试验数据分析(Introduced a single vector hydrophone in basic knowledge, a single vector hydrophone based on signal processing theory and the performance of DOA estimation and some test data analysis)

说明：  信号的时间宽度和频率带宽反映的是 、 围绕 和 的扩展程度，信号的带宽（ ）完全由幅度、幅度的导数及相位的导数所决定。称T和B分别为信号 的时宽和带宽，TB称为时宽－带宽积,。此程序用于计算信号的时间宽度和频率带宽。(Signal time width and frequency bandwidth of reflected that and it spreads around the signal bandwidth () completely by the magnitude, amplitude and phase derivative of the derivative of the decision. Called T and B respectively when the signal width and bandwidth, TB is called when the wide- bandwidth product. This program is used to calculate the width of the signal time and frequency bandwidth.)

this is the code for low energy adaptable clustering heararchy

matlab毕业编程【谷速软件】沉积的粒度数据的三维图 可以作为参考使用 在学习的过程中(Graduation matlab software programming [Valley] deposition speed three-dimensional map data granularity can use as a reference in the process of learning)

特征空间方法是现代谱估计的重要方法之一。针对噪声中的复正弦信号的模型，通过特征矢量的方法进行信号空间的分解。通过将信号空间分解为谐波信号空间和噪声信号空间这两个相互正交的空间的方法进行谱估计。Pisarenko,Music,ESPRIT算法都是这一类方法的重要算法。我们通过对不同算法进行比较分析不同算法在各种状况下的表现性能。并针对ESPRIT算法的各种改性和提升进行对比和测试。(Feature space is one of the modern spectral estimation method. Complex sinusoidal signal for the noise model, by the method of the feature vector for the decomposition of the signal space. By decomposition of the signal space to the space harmonic signal and the noise signal space, the method of the two mutually orthogonal spatial spectrum estimation. Pisarenko, MUSIC, ESPRIT algorithm is an important algorithm of this type of method. Different algorithms, our comparative analysis of the performance of different algorithms performance under a variety of conditions. And for a variety of modification and upgrading of the ESPRIT algorithm to compare and test.)