steepest_quadratic

这是《小波分析理论与MATLABR2007实现》的源代码。主要是基于Matlab的小波工具箱实现小波基选择、小波包分解、Mallat变换以及小波变换在边缘提取、图像去噪、数据压缩等中的应用，特别包含了二代提升小波的相关内容，理论与实际相结合。大家想要了解的二进小波、正交镜像滤波器组[QMF]等概念这里都有体现。(This is 《MATLABR2007 wavelet analysis theory and implementation》 of the source code. Mainly based on the Matlab wavelet toolbox implementation of wavelet selection, wavelet packet decomposition, Mallat transform and wavelet transform in edge detection, image denoising, data compression, such as the application, in particular, contains a second generation of relevant content Lifting Wavelet theory and reality. Everyone wanted to know about the dyadic wavelet, quadrature mirror filters [QMF] concepts are embodied here.)

声源定位中，提高时延估计精度的一种方法，即通过将原始信号取其立方后在做相关，得到的峰值更加尖锐。(Sound localization, the increase in the accuracy of time delay estimation method, whichever is the original signal through the cube after doing related to the peak obtained is more acute.)

run in matlab 6.0 or above UWB channel simulink .(run in Matlab 6.0 or above UWB channel simul ink.)

off line FX-LMS algorithm to reduce noise from primary path

基于matlab的信道仿真。包含了信道建模、qpsk调制解调、ofdm技术等等。(Channel simulation based on matlab. Contains the channel modeling, qpsk modem, ofdm technologies.)

OFDM系统仿真在新的条件下进行，不错的文件(OFDM system simulation in the new conditions, a good document)

在诸多ICA算法中，固定点算法 (也称FastlCA)以其收敛速度快、分离效果好被广泛应用于信号处理领域。该算法能很好地从观测信号中估计出相互统计独立的、被未知因素混合的原始信号。(In many ICA algorithms, fixed-point algorithm (also known as FastlCA) for its fast convergence and good separation effect is widely used signal processing. The algorithm can estimate from the observed signals statistically independent each other, unknown factors are a mixture of the original signal.)

说明：  this file is about protocols cryptography.

Q学习算法的MATLAB实现，仿真从一个初始位置到达指定位置的过程(Q learning algorithm simulation via MATLAB)

克里格法是地统计学的主要内容之一，从统计意义上说，是从变量相关性和变异性出发，在有限区域内对区域化变量的取值进行无偏、最优估计的一种方法；从插值角度讲是对空间分布的数据求线性最优、无偏内插估计一种方法。(Kriging method is one of the main contents of geostatistics. Statistically speaking, it is a method of unbiased and optimal estimation of regionalized variables in a limited area from the point of view of correlation and variation of variables; from the point of view of interpolation, it is a method of seeking linear optimum and unbiased interpolation estimation of spatial distribution data. Law.)