ASK_AWGN

用MATLAB编写的svm源程序，可以实现支持向量机，用于特征分类或提取(MATLAB svm prepared by the source, can achieve a support vector machine for the feature classification or extract)

The model used for creating the reference voltage is shown in Fig. 4. First, photovoltaic output current (Ipv) and output voltage (Vpv) are passed through a first order low pass filter with a magnitude of G = 1 and a time constant of T = 0.01 seconds in order to filter out the high frequency components or harmonics from these signals as shown in Fig. 5 and Fig. 6. The filtered current and voltage signals (Ipv_F and Vpv_F) are then fed into the MPPT control block that uses the Incremental Conductance Tracking Algorithm. An algorithm that is based on the fact the slope of the PV array power curve shown in Fig. 7 is zero at the Maximum Power Point (MPP), positive on the left of the MPP, and negative on the right. The MPP can thus be tracked by comparing the instantaneous conductance (I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):

Learning algorithm for Boltzmann machine

autoregresive model grade 1

利用matlab进行五点三次法平滑处理(时域和频域)(Using matlab 5.3 times France smoothing process (time domain and frequency domain))

包含二进制和十进制进化算法，以及算法中二进制和十进制之间爱你的转化(Include binary and decimal evolutionary algorithm, and algorithm of love your conversion between binary and decimal )

This code expains bayesian particle swarm optimization method.All files have been written on matlab 2007a. This method has been explianed with various benchmark functions. This optimization method can be directly compared with other unconstrained optimization method like GA or pso for effieciency and speed.

对比度受限自适应直方图均衡方法的Matlab 2008a下的详细实现(contrast limited adaptive histogram equalization in Matlab2008a)

这个程序再matlab2012b版本上调试成功，以前在毕业设计的时候在网上找到的资料，希望对大家有用，基于线性预测系数(LPC)的语音信号重构。给出了完整的LPC matlab程序，包括语音信号采集，LP预测系数，阶数的选择以及预测结果误差曲线。（很好用）(This version of the program and then on the successful commissioning matlab2012b information previously graduation when found online, we want to be useful, based on linear prediction coefficient (LPC) voice signal reconstruction. Given a complete LPC matlab procedures, including voice signal acquisition, LP prediction coefficients, select the order and the prediction error curve. (Well used))

Optical Charactor Recognition