ZFBFprecoding

当信噪比较大时，采用广义最小二乘法可能会出现多个局部收敛点，解决这个问题的方法可用多级最小二乘法，一般来说多级最小二乘法包含三级辨识过程。利用输入输出数据，通过多级最小二乘法，可分别求的辅助模型，过程模型和噪声模型的参数估计值。在高噪声的情况下，多级最小二乘法明显优于广义最小二乘法，其收敛点唯一。(When the signal noise ratio (SNR), and by use of the generalized least squares method may appear more local convergence point, the way of solving this problem can be used multistage least squares method, and generally multistage least squares method includes three identification process. Using input/output data, through the multistage least squares, respectively for the auxiliary model, process model and noise model parameter estimation. In the high noise, multistage least squares method is obviously superior to the generalized least squares method, and its convergence point only.)

这是一个最基本的OFDM系统仿真，可以与OFDM系统框图对照理解(This is a basic OFDM system simulation, OFDM system diagram can understand and control)

均匀圆阵的波束扫描代码，可以任意设置阵元个数和半径(Uniform circular array beam scan code, can be set arbitrarily array element number and radius)

3维重建的一些例子，基于matlab平台(Some examples of three-dimensional reconstruction, based on matlab platform)

这是数字信号处理的好资料，详细地介绍如何用MATLAB进行信号分析与处理，想学习的可以下载看看。(This is good information on digital signal processing, detailed information on how to use MATLAB for signal analysis and processing, want to study can be downloaded to see.)

一种基于模糊控制的PID算法，入门级别同学可以下载学习(Based on fuzzy PID control algorithm, the entry-level students can download learning)

利用MATLAB，对16QAM信号进行仿真。(The use of MATLAB, the simulation of 16QAM signal.)

扩频技术和cmda技术结合相结合进行通信系统的仿真(Cmda spread spectrum technology and communication technologies combining system simulation)

本书是“MATLAB应用技术”系列丛书之一，以最新推出的MATLAB中的小波分析工具箱Wavelet Toolbox 3.0版本为基础。全书共分为三部分，第1部分着重介绍了小波理论基础，包括小波基础知识、连续小波变换、离散小波变换、多分辨率分析与正交小波变换、小波变换和多采样滤波器组、二维小波变换与图像处理及小波包的基本原理等；第2部分重点说明了小波分析工具箱的详细使用方法，包括图形用户接口、小波通用函数、一维小波变换的MATLAB实现、二维小波变换的MATLAB实现、小波包变换的MATLAB实现、信号和图像的降噪和压缩，以及最新的信号和图像的提升小波变换等内容；第3部分主要介绍了小波工具箱的应用基础，以及小波变换在语音和生物医学信号处理中、故障诊断中、数字水印中的应用方法。 (This book is one of MATLAB application technology Series on the latest MATLAB Wavelet toolbox in Wavelet Toolbox 3.0 version of the basis. The book is divided into three parts, Part 1 focuses on the theory of wavelet basis, including basic knowledge of wavelets, continuous wavelet transform, discrete wavelet transform, multi-resolution analysis and orthogonal wavelet transform, wavelet transform and multi-sampling filter banks, two dimensional wavelet transform and image processing and the basic principle of wavelet packet etc part 2 highlights in detail using wavelet analysis toolbox, including a graphical user interface, wavelet generic function, one-dimensional wavelet transform MATLAB realization of two-dimensional wavelet transform MATLAB implementation of wavelet packet transform MATLAB realize, signal and image noise reduction and compression, as well as to enhance the latest signal and image of the wavelet transform and other content part 3 introduces the application of bas)

image processing S7_morphological_filtering