fenleiPGG

本书基于MATLAB 5.2版，提供了使用MATLAB的实践性指导。MATLAB已成为适合多学科、多种工作平台的功能强大、界面友好、语言自然并且开放性强的大型优秀应用软件，同时也已成为国内外高等院校高等数学、数值分析、数字信号处理、自动控制理论以及工程应用等课程的基本教学工具。本书按逻辑编排，自始至终用实例描述；内容完整且每章相对独立；是一本简明的MATLAB参考书，既适用于初学者，也适用于高级MATLAB用户。对MATLAB与FORTRAN、C等语言结合的描述更是所有MATLAB书籍中少有的一大特色。 本书适合作为理工科高等院校研究生、本科生教学用书，也可作为广大科研工程技术人员的自学用书。(MATLAB users. Of MATLAB and FORTRAN, C and other languages with a description of all MATLAB books is a major feature of the few. This book is suitable as a science and engineering colleges and universities graduate, undergraduate teaching books, but also the majority of scientific research and engineering and technical personnel as self-study book.)

读取rinex格式卫星导航电文，并能将其转化为任意格式数据。(Read rinex format satellite navigation message, and can be converted to any format data.)

matlab的最优化算法的源码，还包括一些高级的优化算法，比如粒子群(The optimization algorithm matlab source code, including some advanced optimization algorithms, such as particle swarm)

设计一维纳滤波器 (1)产生三组观测数据：首先根据s(n)=a s(n-1)+w(n)产生信号s(n)，将其加噪（信噪比分别为20dB,10 dB，6 dB），得到观测数据x1(n), x2(n), x31(n). (2)估计xi(n)，i=1,2,3的AR模型参数。假设信号长度为L，AR模型阶数为N，分析实验结果，并讨论改变L,N对实验结果的影响。 (A Wiener filter design (1) to produce three sets of observations: first generating a signal s (n) according to s (n) = as (n-1)+w (n), to add noise (20dB SNR, respectively , 10 dB, 6 dB), to obtain observational data x1 (n), x2 (n), x31 (n). (2) estimate xi (n), i = AR model parameters 1,2,3. Assuming the signal length L, AR model of order N, analysis of experimental results and discuss the impact changing L, N of the experimental results.)

矩阵积和式双元素Laplace展开，利用Laplace展开递归计算矩阵积和式(the laplace expansion of matrix permanent)

DCT域的数字水印的嵌入和提取算法，针对的载入原始图像和水印图像都是二值图像(DCT digital watermarking embedding and extraction algorithm for the load are the binary image of the original image and the watermark image)

实现支持向量回归，能够实现小样本的回归预测分析(Regression analysis to realise the prediction base on small sample)

多目标蚁狮优化算法求解电力系统经济调度问题(Multi-objective ant lion optimizer for solving ecnomic dispatch problem)

(1) 产生数值为±1的用户随机数据；给出Matlab下对应的模块； (2) 产生并给出64×64的Walsh矩阵，作为用户接入的扩频码； (3) 利用上述一个用户的扩频码和用户数据演示扩频过程；给出Simulink工作框图； (4) 利用FFT，计算并画出基带数据和扩频信号的频谱（在一个图中给出）； ((1) value of ± 1 generated random data users given under the corresponding Matlab module (2) generation and gives the Walsh 64 × 64 matrix, as the user access to the spreading code (3) the use of the a user' s spreading code and spread spectrum user data presentation process given work Simulink block diagram (4) the use of FFT, calculate and draw the base-band spectrum data and the spread spectrum signal (given in a diagram) )

基于DD算法的先验信噪比估计的维纳语音降噪完整程序，包括语音分帧，动态信噪比估计,噪声估计更新和帧的重构。很完整。(DD algorithm based on a priori signal to noise ratio is estimated that the integrity of the process noise reduction Wiener voice, including voice sub-frame, dynamic signal to noise ratio estimation, noise estimation and frame reconstruction update. Complete. I hope to share together.谢谢. Small text.)