cp0102_sinpulse_one

gui matlab, very good matlb code for gui with matlab m- file

基于客观测试方法针对普通话的AMR 话音激活检测算法性能分析(Mandarin based on objective testing methods for the AMR voice activity detection algorithm performance analysis)

用MATLAB内含的随机数生成器生成所需的随机量，是进行概率模拟编程的参考工具(Included with the MATLAB random number generator to generate the required random quantity is the probability of a reference tool for simulation programming)

This paper deals with the problem of speech enhancement when only a corrupted speech signal is available for processing. Kalman filtering is known as an effective speech enhancement technique, in which speech signal is usually modeled as autoregressive (AR) model and represented in the state-space domain.(This paper deals with the problem of speech enhancement when only a corrupted speech signa l is available for processing. Kalman filterin g is known as an effective speech enhancement te chnique. in which speech signal is usually modeled as aut oregressive (AR) model and represented in the s tate-space domain.)

卡尔曼滤波器的编码程序，基础程序可以好好学习下，希望有帮助！(Kalman filter coding procedures, based on the program can learn under, want to help!)

根据型值点反算NURBS曲线的控制点及权因子，正确拟合nurbs曲线(About NURBS curve fitting)

FSK信号检测方法的研究,拿出来跟大家分享，顺便拿点积分(FSK signal detection method of the research, come up with to share with you, by the way get-point)

Incremental Conductance: In the incremental conductance algorithm, we find the derivative of PV output power with respect to output voltage. The dP/dV is evaluated and the algorithm keeps checking this value and changes the duty cycle such that dP/dV=- I/V = 0. This is the point at which maximum power is transferred. If dP/dV is greater than zero, it means the PV is operating to the left of the MPP. If dP/dV is less than zero, it means the PV is operating to the right of the MPP. This method holds an advantage over the perturb and observe method since it is fast and does not oscillate around MPP. However, the method could experience instability due the involvement of the derivative.

实现门特卡罗算法 解题过程可以归结为三个主要步骤：构造或描述概率过程；实现从已知概率分布抽样；建立各种估计量。 (about monte carlo simulation)

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