morud.ps

说明：  语音识别关键性技术的MATLAB仿真实现.pdf(Voice recognition key technologies MATLAB simulation. Pdf)

扩频通信的相关仿真文件，希望有帮助，：）(Spread Spectrum Communication Simulation related documents, hoping to help :))

北京航空航天大学《惯性导航原理》第二次大作业源程序(Beijing University of Aeronautics and Astronautics " principle of inertial navigation" second source operations)

基于目标红外特征的图像分割方法为区域生长法(Image segmentation method based on target infrared image segmentation method for region growing method)

模拟信号的数字化传输---增量调制系统 用SIMULINK建立简单增量调制系统的模型并进行 （3） 正弦信号 （4） 语音信号 的传输。 改变抽样频率和量化台阶大小，观察重建信号以及量化噪声信号的波形；对于语音信号主观评价声音质量的变化。 (Digitized analog signal transmission systems--- delta modulation delta modulation SIMULINK easy set up of the model system and (3) sinusoidal signal (4) transmission of voice signals. Change the sampling frequency and quantization step size, to observe the reconstruction of signal and quantization noise signal waveform for subjective evaluation of the speech signal changes in sound quality.)

说明：  Training Based eqaul

用Hough变换检测车道直线，用MATLAB自带的Hough(),houghlines(),houghpeaks()实现(Lane with a straight line Hough transform detection, using MATLAB' s own Hough (), houghlines (), houghpeaks () to achieve)

实现有效的学习算法 的稀疏贝叶斯模型，即稀疏贝叶斯matlab工具箱("SparseBayes" is a package of Matlab functions designed to implement an efficient learning algorithm for "Sparse Bayesian" models. The "Version 2" package is an expanded implementation of the algorithm detailed in: Tipping, M. E. and A. C. Faul (2003). "Fast marginal likelihood maximisation for sparse Bayesian models." In C. M. Bishop and B. J. Frey (Eds.), Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, Key West, FL, Jan 3-6. This paper, the accompanying code, and further information regarding Sparse Bayesian models)

提供了hopfield 的MATLAB程序，该程序简单易行，可以在MATLAB中得到应用(Introduce a program about the hopfield ,the program is easy and can be used in the program.)

本书第一章系统讲述MATLAB6.5的集成工作平台，引导读者初会MATLAB基本用法。第二、三章系统叙述MATLAB6.1的四大基本数据类型（数值数组、字符串数组、元胞数组、构架数组），至于其它扩展数据类型（函数句柄、符号数据、内联函数、unit数组、稀疏类）则另辟章节专述。此后，本书用九个独立章分述MATLAB6.5的数值计算、符号计算、函数和数据可视、面向对象编程、GUI交互操作界面设计、EXE独立应用程序生成、实现不同软件平台交互的API、M-book数据图形文字环境集成等八大通用功能。本书用专门的一章深入浅出地阐明SIMULINK的分层建模、仿真功能、与MATLAB交互的功能。(The first chapter of this book the system tells MATLAB6.5 of integrated working platform, guiding the reader will be the beginning of MATLAB basic usage. The second and third chapters system described the MATLAB6.1 four basic data types (numeric array, string array, cell array, the array architecture), as extended data types (function handle symbol data, inline functions, unit array , the sparse class) are covered in separate chapters specifically mentioned. Since then, with nine separate chapter book are as MATLAB6.5 the numerical computation, symbolic computation, functions, and data visualization, object-oriented programming, GUI interactive interface design, EXE standalone application generation, different software platform to interact The data graphics API, M-book text environment integration Eight generic function. Book special chapter layman' s language to clarify SIMULINK hierarchical modeling, simulation capabilities, and MATLAB interaction.)