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二级倒立摆的仿真 用simulink对二级倒立摆的模糊控制仿真(Simulation of double inverted pendulum with a double inverted pendulum on simulink fuzzy control simulation)

使用Matlab Gui实现的数字信号处理常用算法，包括卷积，FFT，FIRIIR数字滤波器设计，最佳滤波器，自适应滤波，卡尔曼滤波等

数学建模中模拟卫星轨道的matlab源程序，由仿真数据模拟卫星轨道方程中的参数，得到轨道方程。(Matlab source, by mathematical modeling to simulate the satellite orbit parameters in the simulation data analog satellite orbit equation, the orbital equation.)

说明：  介绍MATLAB粒子群算法工具箱的使用及一些实例(This paper introduces the use of MATLAB particle swarm optimization toolbox and some examples.)

本书研究了统计理论的三个领域，检测理论，估计理论和解调理论。(In books, we shall study three areas of statistical theory, which we have labeled detection theory, estimation theory, and modulation theory. The goal is to develop these theories in a common mathematical framework and to demonstrate how they can be used to solve a wealth of practical problems in many diverse physical situations. )

惯性导航研究中的轨迹发生器，用于模拟载体的机动运动(inertial navigation study the trajectory generator to simulate carrier mobile campaign)

信道编码采用卷积码，解码使用Viterbi解码。调制给出QPSK、16QAM 两种调制方式，并在AWGN和瑞利信道两种信道模型下传输。(Channel coding using convolutional codes, decoding using the Viterbi decoder. Given modulation QPSK, 16QAM modulation in two ways, and in the AWGN and Rayleigh channel model of two-channel transmission.)

Code source of Distribution Wigner ville

这本书提供了坚实的介绍卡尔曼滤波的理论和实践方面的读者。它已经更新了卡尔曼滤波，包括适应非线性滤波，更可靠的平滑方法，并在导航应用程序开发的实施和应用的最新发展。所有的软件是在MATLAB中，提供给读者的机会，发现如何卡尔曼滤波行动，并考虑实际运算需要保持结果的准确性。(This book provides readers with a solid introduction to the theoretical and practical aspects of Kalman filtering. It has been updated with the latest developments in the implementation and application of Kalman filtering, including adaptations for nonlinear filtering, more robust smoothing methods, and developing applications in navigation. All software is provided in MATLAB, giving readers the opportunity to discover how the Kalman filter works in action and to consider the practical arithmetic needed to preserve the accuracy of results. )

一个神经网络，对100个分布在单位圆上的数据点进行分类。(A neural network, 100 distributed on the unit circle data points classification.)