medicalimagesegmentation

说明：  针对CDMA2000标准的3G网络的一种简单仿真，采用matlab工具(Standard for CDMA2000 3G networks a simple simulation using matlab tools)

HMM based speech recognition..

给定时间序列信号，计算Hjorth参数的mobility和complexity.(computes the Hjorth parameters mobility and complexity.)

说明：  以直驱永磁风力发电系统为研究对象，提出了一种双变化率步长的最大功率跟踪混合控制策略， 并用MATLAB 进行风力发电系统建模与控制策略的仿真验证。(Taking direct drive permanent magnet wind power generation system as the research object, a hybrid control strategy of maximum power tracking with double rate of change step is proposed, and the modeling and control strategy of wind power generation system are simulated and verified by MATLAB.)

课程设计中首先采用Ising model的思想建立一个二维的模型，然后利用重要性抽样和Monte Carlo方法及其思想模拟铁磁-顺磁相变过程。计算了顺磁物质的能量平均值Ev、热容Cv、磁化强度M及磁化率X的值，进而研究Ev、Cv、M、X与温度T的变化关系并绘制成Ev-T图、Cv-T图、M-T图、X-T图，得出顺磁物质的内能随着温度的升高先增大而后趋于稳定值；热容Cv、磁化率X随着温度的升高先增大后减小；磁化强度M在转变温度Tc处迅速减小为零，找出铁磁相变的转变温度Tc大约为2.35(First of all, curriculum design idea of the Ising model used to establish a two-dimensional model, the importance of sampling and then use Monte Carlo simulation methods and their idea of ferromagnetic- paramagnetic phase transition process. Paramagnetic material calculated average energy Ev, heat capacity Cv, magnetization M and susceptibility X value, and then study Ev, Cv, M, X and temperature changes in the relationship between T and plotted into Ev-T map, Cv- T diagram, MT map, XT maps drawn paramagnetic material can be increased as the temperature increased and then stabilized value heat capacity Cv, magnetic susceptibility X as the temperature increases after the first minus small magnetization M in the transition temperature Tc decreases rapidly to zero Department to identify ferromagnetic phase transition around the transition temperature Tc for 2.35)

Explains you about how to manage the projects i.e., PROJECT MANAGEMENT

说明：  本人提交的用matlab的关于滤波器设计的作业，很有用的　(I used Matlab submitted on the design of filter operation, a very useful)

频域捕获，码相位，载波频率确定，时间变短(Capture frequency, code phase, carrier frequency to determine)

验证可用，分析了该信号的时域、频域、倒谱，循环谱等,构成不同频率的调制信号。( Verification is available, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Constituting the modulated signals of different frequencies.)

Accurate estimates of the autocorrelation or power spectrum can be obtained with a parametric model (AR, MA or ARMA). With automatic inference, not only the model parameters but also the model structure are determined from the data. It is assumed that the ARMASA toolbox is presen