介绍了在提取穿越次数特征、粗网格特征以及密度特征提取的基础上应用SVM进行手写体阿拉伯数字识别的方法。-Introduced the extraction across a number of features, coarse grid and density feature extraction on the basis of the application of SVM method for handwritten digits recognition.

语音信号的采集与处理，数字信号处理课设，能量谱分析计算,小波包分析提取振动信号中的特征频率。- Acquisition and Processing of the speech signal, digital signal processing class-based, Energy spectrum analysis and calculation, Wavelet packet analysis to extract vibration signal characteristic frequ