ParticleFilter(1)

在MATLAB下实现了自适应滤波算法，包含两种不同的算的比较(In the MATLAB achieve adaptive filtering algorithm, including comparison of two different operators)

说明：  《MATLAB语言与自动控制系统设计》第二版，机械工业出版社，魏克新等编著。介绍了各种经典控制器的matlab设计方法。(MATLAB Language and Control System Design，Second Edition, China Machine Press, WeiKexin, eds. Introduced a variety of classical controller design methods in matlab environment.)

G算法计算关联维的 Matlab 程序 G算法计算关联维的 Matlab 程序(GP algorithm for calculating the correlation dimension of the Matlab program GP correlation dimension algorithm of Matlab procedures)

Matlab环境下 纽阶堡（Neugebauer）分色算法。(Matlab environment Neugebauer color separation algorithm.)

matlab for lpi radar

单自由度振动系统，求其频响函数，改变质量，阻尼，刚度对频响函数的影响(Single degree of freedom vibration system, find the frequency response function, changing the impact mass, damping and stiffness of the FRF)

这是我学习《MATLAB程序设计与应用》刘卫国、陈昭平　 一书时第一章和第二章的课后习题 目录 exponential_e.m exsub.m fheritage.m initialise.m matrix.m matrix2.m matrixm.m matrix_c.m matrix_mul.m mult.m mywork1201.dll mywork1201.m normcdf_.m p41_4.m p41_5.asv p41_5.m p41_6.m p41_7.m p41_8.m p64_1.m p64_2.m p64_3.m p64_4.m p64_5.m p65_10_1.m p65_10_2.m p65_10_3.m p65_6.m p65_8.m(This is my learning "MATLAB design and application procedures," Liu Weiguo, Chenzhaobeng a first book chapters I and II of the after-school catalog exponential_e.m exsu Exercises b.m fheritage.m initialise.m matrix.m matrix 2.m matrixm.m matrix_c.m matrix_mul.m mult.m mywork1201.dll mywork1201.m normcdf_.m p41_ 4.m p41_5.asv p41_5.m p41_6.m p41_7.m p41_8.m p64_1.m p64_2.m p64_3.m p64_4.m p64_5.m p65_1 0_1.m p65_10_2.m p65_10_3.m p65_6.m p65_8.m)

一个人体运识别跟踪的示例程序，里面附带了一个运动视频，运行run.m文件。程序里包含了轮廓提取，跟踪算法，很好的tracking学习程序(An example program for personal movement recognition and tracking is attached to a sports video, running run.m files. The program includes contour extraction, tracking algorithm, good tracking learning program.)

说明：  该工具包提供了一个用于通过算法、预训练模型和应用程序来设计和实现深度神经网络的框架。您可以使用卷积神经网络（ConvNet、CNN）和长短期记忆 (LSTM) 网络对图像、时序和文本数据执行分类和回归。应用程序和绘图可帮助您可视化激活值、编辑网络架构和监控训练进度。(The toolbox provides a framework for designing and implementing deep neural networks through algorithms, pre training models and applications. You can use convolutional neural networks (convnet, CNN) and long and short term memory (LSTM) networks to perform classification and regression on image, temporal, and text data. Applications and graphics help you visualize activation values, edit network architecture, and monitor training progress.)

AWGN高斯白噪声信道下的能量检测算法ROC性能曲线图。(AWGN Gaussian white noise channel the energy performance detection algorithm ROC curve.)