matlab

MATLAB中的所有练习源程序,软件包形式,对学习MATLAB很有帮助(MATLAB source code for all exercises, the package forms of learning MATLAB helpful)

噪声处理阵列用于接收信号时间补偿的系数期望信号幅度(The noise processing array for receiving signals, the time-compensated coefficient desired signal amplitude)

Haar+AdaBoost分类器训练总结(Haar+ AdaBoost classifier training summary)

适合卫星通信本科学生借鉴。主要为卫星转发器仿真设计。可以实现上下变频，非线性放大器实现和卫星转发器实现。(Satellite transponder Simulation Design。Achieve Frequency conversion)

pca分类程序，主要用于脑电信号的分类。具有较好的分类精度！(pca classification procedures, mainly for the classification of EEG signals. Has better classification accuracy!)

利用参数辨识法提取相关对准参数，从而估计出陀螺漂移和数学平台偏角并进行补偿。仿真结果表明，开路罗经法对准具有较高的对准精度、较好的快速性，能够满足捷联惯导系统在静基座下实现自对准的要求。(Expressions of mathematical platform misalignment angles of the open-loop algorithm are derived and parameter identification method is used to pick-up the corresponding coefficients from angle measurements in order to identify and compensate gyro drifts and platform misalignment．The simulation results show that the open circuit gyrocompass alignment of SINS can all meet the requirement of SINS initial alignment with high accuracy and quick reaction on static base. thus can meet the high-precision alignment requirement of carrier based inertial navigation system on swinging base． )

介绍matlab的各种作图命令，及一些相关的典型的作图实例，对初学者有很大的帮助(Introduced a variety of mapping matlab command, and some examples related to the typical plot, a great help for beginners)

求从1到20的阶乘，并且可以推广到N阶阶乘，。(Demand from 1 to 20 factorial, and can be extended to N-order factorial,.)

Four versions of the simulation is available. tsim.cpp - Prints visual representation of the simulation tsimd.cpp - Prints Density versus output flow rate and average velocity tsiml.cpp - Prints Lane Change Probabiliy versus Output flow rate and Average velocity

介绍Auto focus的文章，主要介绍了对焦技术，探测技术；包括频域分析、目标函数、目标函数效能验证、影像评估效能之因素、高斯低通滤波器参数的选取、自动对焦技术；以及相关实验结果与分析。(Introduction Auto focus of the article introduces the focus technology, detection technology including frequency domain analysis, the objective function, the objective function performance verification, image assessment of the effectiveness of the factors, Gaussian low-pass filter parameter selection, auto-focus technology and related experimental results and analysis.)