wave

周期图法谱估计需要对信号序列“截断”或加窗处理，其结果是使估计功率谱密度为信号序列真实谱和窗谱的卷积，导致误差的产生。本程序分别设计了周期图法,最大熵功率谱估计和Welch法以及它们的对比,最大熵功率谱估计目的是最大限度地保留截断后丢失的“窗口”以外信号的信息，使估计谱的熵最大。(Periodogram spectrum estimation signal sequence needs to " cut off" or add the window handle, the result is an estimated power spectral density of the signal sequence of the real spectrum and spectral convolution window, resulting in the generation of errors. The procedures were designed periodogram, maximum entropy power spectrum estimation and the Welch method and their comparison, the maximum entropy power spectrum estimation purpose is to maximize the retention of truncated after the loss of the " window" than the information signal, the entropy of the estimated spectrum maximum.)

This matlab code show the noise calculations in image like PSNR etc. Which helps in image processing projects.

相控阵直角坐标与极坐标先的方向图,可以调节字体与线条大小(Phased array Cartesian coordinates and polar coordinates before the pattern)

本程序是运用小波分析和神经网络结合方法进行风速预测(This procedure is the use of wavelet analysis and neural network approach to predict wind speed)

上传的内容主要是QPSK误码率仿真，保证可以运行(From the contents of the QPSK bit error rate simulation is mainly to ensure that you can run)

Artificial neurone network ANN toolbox with pca

matlab的仿真工具simulater,主要针对滤波器，pdf文档(the matlab simulation tools simulater of, mainly for the filter, pdf document)

prony工具箱用于对信号进行prony分析，(We have designed a software tool in MATLAB, the Prony Toolbox, to perform Prony analysis. Prony Toolbox (PTbox) is designed based on several considerations including data preprocessing, model order selection, model order selection criteria, signal subspace selection, signal and noise separation, root inspection and assessing residuals. The PTbox provides flexibility to compare and display analysis results simultaneously for several parameter variations.)

MATLAB 主要函数指令表，为初学者提供参考。(The main function of MATLAB instruction sheet, provide a reference for beginners.)

subtightplot is a merger of Pekka Kumpulainen s tight_subplot and Nikolay S. s subplot_tight. It extends the former, which supports asymmetric subplots, to allow for variable margins in addition to gaps, as in the latter.