BPSK

一本描述声音信号处理的书，包括matlab的仿真过程(It s very good to descript on the signal processing including the step working on Matlab)

说明：   本书介绍了在Microsoft Windows 98、Microsoft Windows NT 4.0和Windows NT 5.0下程序写作的方法。这些程序用C语言编写并使用原始的Windows Application Programming Interface（API）。如在本章稍后所讨论的，这不是写作Windows程序的唯一方法。然而，无论最终您使用什么方式写作程序，了解Windows API都是非常重要的。(This book describes the Microsoft Windows 98, Microsoft Windows NT 4.0 and Windows NT 5.0 under the process writing approach. These procedures used C language and use the original Windows Application Programming Interface (API). As discussed later in this chapter, and it is not writing the only way to Windows program. However, regardless of how you use the writing process, understand the Windows API are very important.)

包含大量matlab资料，包括重难点解释和实例、各种函数用法(Contains a large matlab materials, including heavy and difficult explanations and examples of usage of various functions)

用MATLAB实现FIR，包括常用窗函数代码(Using MATLAB FIR, including the commonly used window function code)

说明：  这是语音信号处理里面的，基本谱减法，处理的效果很不错，很适合初学者研究！(This is the speech signal processing inside the basic spectral subtraction to deal with the effect of very good, very suitable for beginners study!)

这是一个进行图像轮廓提取和背景提取的matlab仿真，可以运行，是我在做课题时用到的一个小程序(This is a background of the image contour extraction and extraction matlab simulation, you can run, is the topic I am doing a small program used)

ofdm仿真，简单的lms信道估计，用qdpsk调制(ofdm simulation, a simple lms channel estimation, using qdpsk modulation)

可以看到 变步长未必会需要更长的时间 因为它是一种自适应的方式 如果某阶段情况理想的话 就会用最大步长来做 那就会很快 (can see variable step may not need a longer period of time because it is an adaptive way if a certain phase of the the ideal would be the greatest step will be to do it quickly)

本课程使用AMOS（距结构分析）软件对结构方程进行简单的介绍和概述。结构方程模型 (SEM) 包括多种统计技术，如路径分析，验证性因子分析，带潜变量的因果关系模型，甚至方差分析和多重线性回归(This course uses the AMOS software (from the structural analysis), a brief introduction and overview of the structural equation. Structural equation modeling (SEM), including a variety of statistical techniques, such as path analysis, confirmatory factor analysis, causal relationship with the latent variable model, and even analysis of variance and multiple linear regression)

数值计算相关的MATLAB教程，介绍常用数值方法。(Numerical Computation with MATLAB)