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介绍了MATLAB下如何实现直接扩频序列的PN伪随机码如何实现同步 并给出结果(Describes how MATLAB directly under the PN spreading sequence PN code to achieve synchronization and gives the results)

MATLAB潮流计算(MATLAB flow calculation)

《统计与自适应信号处理》是国外最新出版的一本统计信号处理教材。其主要特点是对统计与自适应信号处理的理论方法、实现及应用给出了较完整的论述和介绍。作者根据其多年的教学经验，并针对现代信号处理的理论及应用方面的重要性，选定谱估计、信号建模、自适应滤波与阵列信号处理等几个关键论题进行了详细的讨论。《统计与自适应信号处理》强调基本概念和理论方法，目的是为读者以后深入研究一些信号处理的新课题打下良好的基础。为了便于掌握，书中的数学描述和推导仅限于高年级本科生、研究生和工程技术人员能够理解的水平，因此《统计与自适应信号处理》具有较强的实用性。 《统计与自适应信号处理》适用于大学高年级本科生和研究生作为选修现代信号处理课程的教学参考书，也可作为工程技术人员自修现代信号处理理论及应用的参考书("Statistical and Adaptive Signal Processing" is the latest edition of a foreign statistical signal processing materials. Its main characteristic is the statistical theory and adaptive signal processing methods, and applications are given to achieve a more complete discussion and description. According to their years of teaching experience, and for modern signal processing theory and application of the importance of the selected spectral estimation, signal modeling, adaptive filtering and array signal processing, and several other key topics were discussed in detail. "Statistical and Adaptive Signal Processing," emphasizing basic concepts and theoretical methods, the reader is intended to signal processing after the in-depth study some new issues and lay a good foundation. In order to facilitate control, the mathematical description and derivation of the book is limited to advanced undergraduates, graduate students and engineers to understand the levels, "Statistical and Adaptive Signal)

包含了阵列信号处理的常见算法，是机器学习的例程，是学习PCA特征提取的很好的学习资料，关于神经网络控制，从先验概率中采样，计算权重。( Contains a common array signal processing algorithm, Machine learning routines, Is a good learning materials to learn PCA feature extraction, On neural network control, Sampling a priori probability, calculate the weight.)

augmented reality toolbox

Sparse matrix storage and computing

this file denoise the pcg signal by wavelet and find the best wavelet who denoise the pcg signal

liu超混沌系统的时序图及liu超混沌系统的相轨迹图的程序(Timing Diagram liu liu hyperchaotic system and hyperchaotic system phase trajectory program)

This code creates a self similar 2D Sierpinski carpet or 3D Menger sponge Inputs are the scaling factor, b, number of squares to remove l, number of iterations, iter, Euclidean dimension, E, and binary random variable. Calculates Pore Fractal Dimension Dp, porosity

说明：  查看要素（Feature）属性信息,同一图层可以选择多个要素(see feature attributes,the same layer can select many features)