InteractiveSmoothing

一种新的稀疏问题的直接求解算法——平滑l0算法(Sparse problems can by directly solved by a novel algorithm-- smoothed l0 method)

动态规划网络，包括执行网络和评价网络，采用BP网络实现。(ADP network, including execution network and evaluation network, is implemented by BP network.)

书名：现代控制引论教程 Matlab辅助实验 本教材共9章。第1章介绍了经典控制论的主要内容，这是研究控制论问题时最初引入的理论和方法；第2章是现代控制论采用的状态空间描述，包括连续时间和离散时间空间模型；第3章是系统状态分析；第4章介绍了现代控制论的两个标志性的内容．即系统状态的能控性和能观性，以及能控性和能观性的判定等内容；第5章介绍了系统各种稳定性的概念和判别方法；第6章是在前5章分析的基础上，讨论了系统综合问题，如极点配置、镇定等；第7章介绍了最优控制的基本方法——极小值原理和动态规划法；第8章和第9章分别对控制论的两个分支：随机系统的状态滤波与控制和自适应控制方面等内容作了基本介绍。 (Title: Introduction to modern control experiment textbook tutorial of Matlab including 9 Chapters: Chp1 introduces the main content of classical control theory, cybernetics is the study of this problem first introduced the theory and methods in Chp2 of the modern control theory using state-space description, including the continuous time and discrete time space model Chp3 is the system state analysis Chp4 describes the modern control theory, the two iconic content. The state of the system controllability and observability and controllability and observability of the decision, etc. Chp5 introduces the concept of system stability and discrimination of various methods Chp6 is based on the former 5 chapters and discusses the systems integration issues, such as pole placement, stabilization, etc. Chp7 describes the basic method of optimal control- minimum principle and dynamic programming Chp8 and 9, respectively, on control theory The two branches: the state of stochastic)

VARHMMBOX, version 1.1, Iead Rezek, Oxford University, MAR 2002 Matlab toolbox for Hidden Markov Models(VARHMMBOX, version 1.1, Iead Rezek, Oxford University, MAR 2002 Matlab toolbox for Hidden Markov Model s)

说明：  利用MATLAB语言，实现EMD分解，得到各个IMF分量，再重组降噪(Using MATLAB language, EMD decomposition is realized, IMF components are obtained, and then noise reduction is recombined)

第四版prokias数字通信配套源代码之大结局（从第10章一直到书本末）(source code(matlab )for prokias Digital Communication (4th edition))

说明：  ds证据理论的事例，用于数据融合判决，附说明和参考文献(ds examples of evidence theory for data fusion decision, with notes and references)

雷达系统建模与仿真：回波波形、中放后波形、I/Q相干检波后波形、脉压后波形、MTI对消后波形、相参积累后波形、取模后波形、cfar后波形。(Modeling and simulation of radar systems: echo waveform, put after the waveform, the I/Q coherent the inspection Bo Houbo shaped pulse pressure after the waveform, the MTI elimination waveforms, coherent waveform modulo waveform after waveform cfar.)

基与matlab仿真平台，编写变步长LMS自适应滤波器算法，该算法能够解决收敛速度和稳态精度的固有矛盾。(Based on Matlab simulation platform, the preparation of a variable step size LMS adaptive filter algorithm, which is able to resolve the contradictions inherent in convergence speed and steady precision.)

使用FIR进行滤波器设计，应用kaiser窗函数进行的50阶设计的，适合初学者。(Conducted using FIR filter design, application kaiser window function 50 bands designed for beginners.)