coin-detection

说明：  面阵波束形成 两种方法 三维指向性 直接运行(Planar array beamforming in two ways to run a direct three-dimensional directional)

分析了BFSK的性能及原理，并利用matlab仿真实现其误码率等信息。写成word文档，后面附有源程序。(BFSK performance analysis and principle, and use matlab simulation to achieve its bit error rate information. Word document written in the back with a source.)

svpwm控制信号，可以通过此信号完成对三相整流或逆变电路的SVPWM控制。(svpwm control signal, the signal can be done by this three-phase rectifier or inverter circuit SVPWM control.)

matlab的一个基于realadaboost的人脸检测程序，有详细的源码，包括haar特征的提取，以及若分类器的学习。(Matlab based on adaboost face detection procedures, there are detailed source code, including haar feature extraction, and if the classifier learning)

A simple nonlinear system is described within the Simulink environment.For control purposes, a sliding mode controller is designed in order to regulate the system to the origin. Furthermore, the chattering reduction has also been addressed with the introduction of tanh function.

几何布朗运动最大似然估计Matlab的实现以及应用(Geometric Brownian Motion)

　支持向量机方法是建立在统计学习理论的VC 维理论和结构风险最小原理基础上的，根据有限的样本信息在模型的复杂性（即对特定训练样本的学习精度，Accuracy）和学习能力（即无错误地识别任意样本的能力）之间寻求最佳折衷，以期获得最好的推广能力[14]（或称泛化能力）。 (SVM is based on statistical learning theory and the theory of VC dimension based on structural risk minimization principle, according to the limited sample of information in the model complexity (ie, training samples of a specific learning accuracy, Accuracy) and learning ability (ie, error-free samples to identify any capacity) to find the best compromise between, in order to obtain the best generalization ability [14] (or generalization).)

说明：  IS-95前向链路通信系统MATLAB仿真实现(IS-95 forward link communication system MATLAB Simulation)

this source code in matlab is to calculate the various probability distributions.

在对目标进行跟踪时，由于目标的运动方程和观测方程的非线性性，使得滤波时采用传统的卡尔曼滤波器时存在较大误差，不敏卡尔曼滤波器很好的避免了这一点。(Tracking of targets, because the objectives and observation equations of motion of nonlinear equations, and makes filtering when using the traditional Kalman filter when there is a big error, not a very good filter敏卡尔曼avoid this .)