wigb

说明：  基于ofdm，利用导频Comb Pilot进行信道估计，(Based on ofdm, use Comb Pilot to pilot channel estimation,)

源码为在声发射定位中，针对平面定位提高定位精度，自己编写的定位算法(acoustic emission location)

LINEAR DISCRIMINANT ANALYSIS - A BRIEF TUTORIAL(LINEAR DISCRIMINANT ANALYSIS- A BRIEF TUTORIAL)

两个数值实验的matlab编程实现。题目分别1是利用循环语句，计算数列根号5 ，根号下根号5 ，根号下根号下根号5…的极限，要求误差小于 10负8次方。 2利用级数pi=1-1/3+1/5-1/7+...可计算出无理数pi的近似值(Two numerical experiments matlab programming. Title 1 is the use of loop were calculated series roots and 5, roots and root number under 5, roots and root, root number under number 5 ... the limits of error of less than 10 required a negative 8th power. 2 using series pi = 1-1/3+1/5-1/7+ ... calculate the approximate irrational number pi)

OFDM IEEE paper for analysis

利用这个小数据量方法计算混沌时间序列的最大李雅普诺夫指数(With small amount of data calculated largest Lyapunov exponent of chaotic time series)

说明：  该函数提供了一种时变维纳滤波器的实现。这种维纳滤波器可以处理非平稳信号。 在给定噪声信号和参考信号的情况下，Wiener滤波器可以应用于噪声信号以估计与参考信号相干的贡献。(This function provides an implementation of a time-varying Wiener filter. This kind of Wiener filter can deal with non-stationary signals. Given a noisy signal and a reference signal, the Wiener filter can be applied to the noisy signal for estimating the contribution coherent with the reference signal.)

说明：  常规波束形成方位谱和MVDR方位谱对比，课本上的例程(Comparison of conventional beamforming azimuth spectrum and MVDR azimuth spectrum)

实现重力反演，提供实例，建立模型正演，然后进行反演(Realize the gravity inversion, provide examples, modeling forward and inversion)

研究中我么采用分段的方法对数字音频信号嵌入水印。为便于研 究，以灰度图像为数字水印原始信号经二值化处理后得到水印再嵌入 音频信号的离散变换域中，从而得到嵌入水印的音频信号，其实现过 程原理框图如图1 所示。在水印嵌入的过程主要实现四个阶段的任 务：(1)数据准备与预处理，主要是准备好水印原始图片和待嵌入水印 的音频信号 (2)音频信号分段处理，用于嵌入水印的音频数据部分等 分成(m1*m2)个音频数据段 (3)水印图像降维处理，在此过程灰度图像 水印转化为二值图象, 要将其嵌入到一维的数字音频信号中, 必须将 二维的图像转化成一维的序列 (4)将水印嵌入到数字音频信号中,从而 最终获得带数字水印的音频信号。(The study I Mody, segmented digital audio signal embedded watermark. Discrete transform domain to facilitate the study of the grayscale image for the digital watermark the original signal is obtained after the binarization processing watermark embedded in the audio signal, thereby obtaining the watermark embedded in the audio signal, and its implementation process schematic block diagram shown in Figure 1. Mainly in the watermark embedding process to achieve the task of four phases: (1) The data preparation and pretreatment, is ready to watermark the original picture and to be embedded in the audio signal of the watermark (2) audio signal segment processing for embedding watermark The audio data portion is divided into (m1* m2) audio data segment (3) The watermark image dimension reduction processing, binary image is converted to grayscale image watermark in this process, and to be embedded into a digital audio signal of a one-dimensional , two-dimensional images must be converted in)