预测反褶积matlab编码

dpfc using synchronous reference frame.....

matlab function extension

近年来，红外成像系统的广泛应用使得红外图像序列中的目标跟踪技术得到了迅速的发展，但是，图像序列中的微弱点状动目标自身的难点（特点）给跟踪技术带来了挑战(In recent years, extensive use of infrared imaging system makes infrared target which in image sepuences tracking technology has a rapid development, but a big technical challenge appears that the difficult to track the dim moving point target in image sequence for their own characteristic)

脉冲振幅（PAM）的仿真：脉冲振幅调制，即是脉冲载波的幅度随基带信号变化的一种调制方式。如果脉冲载波是由冲激脉冲组成的，则前面所说的抽样定理，就是脉冲振幅调制的原理。(Pulse amplitude (PAM) of the simulation: Pulse amplitude modulation, that is, the range of carrier pulse with changes in base-band signal of a modulation. If the pulse carrier is formed by the impulse of the pulse, then said in front of the sampling theorem, that is, the principle of pulse amplitude modulation.)

Cp model for DFIG wind turbine

录制一段自己的语音信号，并对录制的信号进行采样；画出采样后语音信号的时域波形和频谱图；通过matlab界面进行编程设计，界面方便人们操作( Their record a voice signal, and recording the signal is sampled draw sample after the time-domain waveform and frequency spectrum of the speech signal designed by matlab programming interface, easy for people to interface)

用matlab实现B样条曲线用matlab实现B样条曲线用matlab实现B样条曲线用matlab实现B样条曲线(B-spline curve In matlab)

AVS Speech Code this code describe AVS sppech code in Matlab

储能电池在电网备用中的matlab图解 清晰展示了电池如何控制及如何与电网连接(battery is connected to grid through 3-phase inverter. PI based controller is developed for control of inverter according to Line to Line voltage of grid. and load is connected in between grid and battery. 100Km length of transmission is considered here.)

先归一化输入输出参数，用KMens优化RBF神经网络中心值，然后计算隐节点数据中心间的距离（矩阵），得到各隐节点的扩展常数（宽度），接着用最小二乘法得到各隐节点的输出权值，对数据进行反归一化，并绘图得到神经网络输出与测试集图，同时进行性能评价(First, the input and output parameters are normalized, the central value of the RBF neural network is optimized by KMens, then the distance (matrix) between the data centers of the hidden nodes is calculated, and the extended constant (width) of the hidden nodes is obtained. Then the output weights of the hidden nodes are obtained by the least square method, and the data are back normalized, and the neural network is drawn. Output and test set diagrams, and performance evaluation)