specbandvar_SingleVoice

sensor processing in matlab 2

CEP2POW convert cepstral means and variances to the power domain

说明：  创建BP神经网络 训练BP神经网络 计算仿真误差 计算运行时间 matlab7.0环境运行无误(The creation of BP neural network trained BP neural network simulation run-time error calculation matlab7.0 environment to run correctly)

This code include plot NURBSurface and B-spline.

Taflove书的2维时域有限差分完美边界的程序！欢迎下载！(Taflove book two-dimensional finite-difference time-domain boundary perfect program! Welcome to download!)

matlabbook源码 从开源网上得到的，有几个比较实用有趣的算例，m文件内有说明(matlabbook Source)

基于权值的MAXDEV无线传感器网络定位算法研究 MAXDEV 无线传感器 定位 算法(Weight MAXDEV based wireless sensor network localization algorithm in wireless sensor localization algorithm MAXDEV)

this article is used to explain the color segmentation of cells

时间序列预测分析法在建立非线性模型进行经济预测方面受 到广泛的重视和研究。而作为其重要分支之一的指数平滑法，因为操作简 单、适用性强、性能优良、应用广泛而成为经典的预测与控制模型 (The analysis of time series forecasting economic forecasts in a nonlinear model received wide attention and research. And as one of the important branch of the exponential smoothing, simple operation, applicability and excellent performance, wide range of applications to become a classic prediction and control models)

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):