IEEE34-with-DFIG-SFCL-X

学会不同搜索法（最速下降法，共轭梯度法，牛顿法，拟牛顿法）的计算步骤； 比较不同搜索法（最速下降法，共轭梯度法，牛顿法，拟牛顿法）的优缺点。 (Institute of the different search method (steepest descent method, conjugate gradient method, Newton method, quasi-Newton method) for calculating steps compare different search method (steepest descent method, conjugate gradient method, Newton method, quasi-Newton method) the advantages and disadvantages.)

清音的对数幅度谱，短时过零率，平均能量，基音周期(Voiceless logarithmic amplitude spectrum, short-term zero crossing rate, average energy, pitch period)

基于MOGA方法的多目标遗传算法程序,本程序为通用包,可自行修改.(MOGA is based on the multi-objective Genetic Algorithms procedures, the procedures for the general packet may amend its own.)

FFT的频谱分析及应用 包括模拟信号 、连续信号、 以及噪声信号的频谱分析(FFT spectrum analysis and application of analog signals of a continuous signal and the noise signal spectrum analysis)

This matlab code calculates the channel capacity over AWGN channel and the ergodic channel capacity over Rayleigh fading channel.

vc++调用matlab，利用matlab引擎(vc++ call matlab, using matlab engine)

compHeatSchemes Compare FTCS, BTCS, and Crank-Nicolson schemes for solving the 1D heat equation

说明：  车牌处理，基于matlab的图像处理方法(Plate processing, image processing method based on matlab)

This paper presents a new approach to image segmentation using Pillar K-means algorithm. This segmentation method includes a new mechanism for grouping the elements of high resolution images in order to improve accuracy and reduce the computation time. The system uses K-means for image segmentation optimized by the algorithm after Pillar. The Pillar algorithm considers the placement of pillars should be located as far from each other to resist the pressure distribution of a roof, as same as the number of centroids between the data distribution. This algorithm is able to optimize the K-means clustering for image segmentation in the aspects of accuracy and computation time. This algorithm distributes all initial centroids according to the maximum cumulative distance metric. This paper evaluates the proposed approach for image segmentation by comparing with K-means clustering algorithm and Gaussian mixture model and the participation of RGB, HSV, HSL and CIELAB color spaces.

包含matlab常用图像操作，概括全面，包含读写图像文件、图像的显示等(Contains matlab common image manipulation and comprehensive summary, including reading and writing image files, image display, etc.)