am-and-fm

基于熵的检测器，有很好的鲁棒性在噪声不确定的情况下，环境应用认知无线电(Entropy-based detector, has a good robustness under noise uncertainty, environmental applications of cognitive radio)

用matlab对wav文件采用不同的方式读取（wavread和fopen），并对其进行低通滤波处理。滤波用的fir直接型低通滤波器(to read the wav file in different ways with Matlab (wavread, and fopen), and then low-pass filtering. the low-pass filter is direct_type FIR filter )

QPSK调制下在AWGN和Rayleigh衰落信道下的仿真以及误码率计算，包含完整的报告说明(QPSK modulation in AWGN and Rayleigh fading channel simulation, as well as bit error rate calculation, the report contains a complete description)

matlab的文档，想要学习matlab的同学可以看看。(The people who wants to learn the Matlab well can download the PDF documents.)

matlab绘图使用大全，包含了几乎所有的matlab绘图方法，调整参数，包涵众多范例。(matlab graphics using Guinness, contains almost all of the drawing method matlab, adjust the parameters, includes numerous examples.)

This code computes the approximation of the convolution integral (*) between two functions, f(t) and g(t), sampled at the times t1,t2,...,tm (unit spacing), via the trapezoidal quadrature rule. To compute the integral with other than unit spacing, multiply the result by the spacing increment.

线性预测分析是现代语音信号处理中最核心的技术之一，为现代语音信号处理的飞速发展立下了赫赫功劳，在语音分析、合成、编码、识别等方面都有着广泛的应用，至今仍是最有效的语音分析技术之一。(Linear prediction analysis is the most modern speech signal processing one of the core technology for the modern rapid development of voice signal processing and established illustrious contribution of the speech analysis, synthesis, coding, recognition and so on are widely used, still is the most effective voice analysis technologies.)

现在通信系统仿真中的锁相环技术，给出仿真程序以及后处理(Communication system simulation is now PLL technology, the simulation process and post-processing)

稀疏矩阵和满矩阵计算解线性方程组，所好的计算机cpu时间的差异和所占内存空间的差异。一个简单的比较程序。(Sparse matrix and full matrix calculation of solving linear equations, the difference between good computer cpu time and memory space occupied the difference. A simple comparison process.)

matlab简介，对初学者来说是一份很好的学习资料(Matlab Introduction, is a very good learning materials for beginners)