cma

In this work, the Mel frequency Cepstrum Coefficient (MFCC) feature has been used for designing a text dependent speaker identification system. The extracted speech features (MFCC’s) of a speaker are quantized to a number of centroids using vector quantization algorithm. These centroids constitute the codebook of that speaker. MFCC’s are calculated in training phase and again in testing phase. Speakers uttered same words once in a training session and once in a testing session later. The Euclidean distance between the MFCC’s of each speaker in training phase to the centroids of individual speaker in testing phase is measured and the speaker is identified according to the minimum Euclidean distance. The code is developed in the MATLAB environment and performs the identification satisfactorily.

Competitive Bidding and Stability Analysis in Electricity Markets Using Control Theory

calculates the fibonacci serial of a number

粒子群算法 单目摄像头标定,根据图像中心的像素位置与其世界坐标系位置求解摄像头参数( Particle swarm algorithm of monocular camera calibration)

采用彩色图像进行路径的识别，它是实现自动驾驶的关键技术(The use of color images to identify the path, it is the realization of the key technologies autopilot)

I write the code to simulation probability for simple electronic circuit in Statistical Analysis of Dynamic Systems course. This file also include my presentation .

matlab关于电机仿真的实例，对做电机控制的人很有帮助。(MATLAB simulation essence 50 cases of motor)

通过采用ekf算法来实现SLAM，对比了真实值与采用算法后计算结果，说明程序的可行性。(EKF-SLAM Simulator ------------------ This simulator demonstrates a simple implementation of standard EKF-SLAM. It permits simple configuration via configfile.m to perform SLAM with various control parameters, noises, etc. Also various switches are available to choose known data-association versus gating, etc. The key file in this simulator is called ekfslam_sim.m . Type help ekfslam_sim for more information of how to use it. In addition to on-line animations, the simulator returns a data-structure of the logged state information for off-line processing. An example use of this data is shown in m-file plot_feature_loci.m , which plots the trajectories of the landmark estimates. Tim Bailey and Juan Nieto 2004. )

偏微分方程数值解系列运用mATLAB编写的学习程序(Partial differential equation numerical solution series learning program )

Math Paramteric eqations