cyclic-spectrum

用MATLAB产生白噪声序列 以及白噪声序列的相关检验(creat the series of white noise and test the white noise)

说明：  UMTS无线网络规划与优化，英文版，本书还附有静态系统级仿真的matlab程序，功能很强大，网上可以下载到 John.Wiley.and.Sons.Radio.Network.Planning.and.Optimisation.for.UMTS.2nd.Edition.pdf(John.Wiley.and.Sons.Radio.Network.Planning.and.Optimisation.for.UMTS.2nd.Edition.pdf)

说明：   已知某控制系统结构图如下所示,要求设计校正环节G(s),使系统对于阶跃输入的稳态误差为零。使系统校正后的相角裕量γ≥45°，幅值裕量kg≥10db。(Known structure of a control system as shown below, links to design correction G (s), allowing the system to step input for the steady-state error to zero. The system after correction phase margin γ ≥ 45 °, the amplitude margin kg ≥ 10db.)

neuronal network les reseaux de neurones seront capables d apprendre d eux memes. Les reseaux de neurones sont issues de l intelligence artificielle.

说明：  matlab将STK中卫星轨道数据导出函数(interface for transforming STK data into Matlab)

胡广书 数字信号处理-理论,算法与实现的书中源程序 fortran版本(HU-book Digital Signal Processing- theory, algorithms and implementation fortran source code version of the book)

转载《小波分析理论与Matlab7实现例程》一书里面各章节的源码(Reproduced, " Wavelet analysis theory and Matlab7 implement a routine," a source of all sections of the book which)

基于fdtd算法的双芯光子晶体微腔，其模场分布仿真。(Based on dual-core photonic crystal microcavities fdtd algorithm, its simulation mode field distribution.)

IMPEDANCE SOURCE INVERTER FEEDING R LOAD WITH REDUCED THD COMPARED TO VSI

《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)