Program-to-plot-the-BER-of-OFDM-in-Frequency-sele

风力发电系统中的风力机模型，包含升速箱模型。(Wind power system wind turbine model, including model or speed box.)

svm-km支持向量机工具箱，特点是他们能够同时最小化经验误差与最大化几何边缘区.因此支持向量机也被称为最大边缘区分类器.(svm-km SVM Toolbox, is characterized by experience that they can while minimizing errors and maximizing geometric border zone. therefore support vector machine is also known as the maximum marginal zone classification.)

A Matlab toolbox for exact linear time-invariant system identification is presented. The emphasis is on the variety of possible ways to implement the mappings from data to parameters of the data generating system. The considered system representations are input/state/output, difference equation, and left matrix fraction. KEYWORDS: subspace identification, deterministic subspace identification, balanced model reduction, approximate system identification, MPUM.

通过multi-taper方法进行功率谱的计算，采用自适应加权(Computes the power spectrum using the multi-taper method with adaptive weighting.)

本程序主要模拟小球与边界碰撞，运用能量衰减的运动规律进行程序设定(This procedure simulated ball and border collision, the use of the energy decay law of motion for the program set)

模糊聚类；涉及事物之间的模糊界限时按一定要求对事物进行分类的数学方法。聚类分析是数理统计中的一种多元分析方法，它是用数学方法定量地确定样本的亲疏关系，从而客观地划分类型。事物之间的界限，有些是确切的，有些则是模糊的。例如人群中的面貌相像程度之间的界限是模糊的，天气阴、晴之间的界限也是模糊的。当聚类涉及事物之间的模糊界限时，需运用模糊聚类分析方法。模糊聚类分析广泛应用在气象预报、地质、农业、林业等方面。通常把被聚类的事物称为样本，将被聚类的一组事物称为样本集。模糊聚类分析有两种基本方法：系统聚类法和逐步聚类法。 (Fuzzy clustering )

Semi-supervised learning

Captures a video of the 3D plot in the current axis as it rotates based on ViewZ and saves it as FileName.mpg .

说明：  全文目录包括： 1、绪论 2、编程基础 3、概率论与数理统计基础 4、蒙特卡洛原理 5 粒子滤波原理 6 改进粒子滤波算法 7 粒子滤波在目标跟踪中的应用 8 粒子滤波在电池寿命估计中的应用(Full text catalog includes: 1. Introduction 2.Fundamentals of programming 3. Probability theory and basis of mathematical statistics 4. Monte Carlo principle 5 principle of particle filter 6. Improved particle filter algorithm 7. Application of particle filter in target tracking 8. Application of 8 particle filter in battery life estimation)

图像用小波变换方法来进行分解，再重构，从而再去除噪声(images using wavelet transform method for the decomposition and reconstruction, thereby removing noise)