对非计算机专业计算机教学的几点认识

高职院校非计算机专业计算机课程是一门必修课,在当前的教学过程中,存在许多问题。文章从教学方法、实验教学、考核方法和教师队伍建设等方面进行了探讨。

如何认识和防治计算机病毒

本文通过对计算机病毒的认识和了解,结合实际工作中遇到的情况,从而对在防治计算机病毒方面进行了一个简单的阐述。

探究如何实施信息技术教学指导——以“走进计算机世界”为例

“走进计算机世界”,是浙江摄影出版社信息技术教材中第一单元部分的知识,主要涉及计算机的硬件、软件介绍,计算机的发展简史,病毒防治以及应用价值分析等内容,它是小学生打开计算机认知世界大门的一个重要起点,因此,信息技术教师要对此高度重视,积极探索有效的课堂教学指导策略。

Automatic Recognition of Analog Modulated Signals Using Artificial Neural Networks

This paper presents work on modulated signal recognition using an artificial neural network （ANN） developed using the Python programme language. The study is basically on the analysis of analog modulated signals. Four of the best-known analog modulation types are considered namely： amplitude modulation （AM）, double sideband （DSB） modulation, single sideband （SSB） modulation and frequency modulation （FM）. Computer simulations of the four modulated signals are carried out using MATLAB. MATLAB code is used in simulating the analog signals as well as the power spectral density of each of the analog modulated signals. In achieving an accurate classification of each of the modulated signals, extensive simulations are performed for the training of the artificial neural network. The results of the study show accurate and correct performance of the developed automatic modulation recognition with average success rate above 99.5%.