MAS

职能转换的纯文本唱名法记法矩阵或一个MIDI序列，代表的声音，或读取MIDI序列数据，并说明其转换为溶胶发符号。 图形用户界面是在一个唱名法编辑器的尝试，一个工作人员到唱名法的转换器。 而将工作职能溶胶fa2soundfcn文件夹在Matlabpath的。使用pathtool命令或设置路径...从文件菜单，并添加溶胶fa2soundfcn文件夹。 在M-代码计算从纯文本输入球场和持续时间，并生成用于扬声器作为信号 Ÿ Ÿ *罪=（2 * pi的*女*吨），0<吨<期限 或生成的MIDI数据序列做笔记 俯仰速度时间戳时间戳... 输出写入： *扬声器使用SOUNDSC * audioplayer对象使用AUDIOPLAYER *波形声音文件，并使用WAVWRITE * MIDI序列使用FWRITE 要生成唱名法记法，M码会从一个MIDI序列的说明使用从文件中读数据，将其转换唱名法符号和写入一个输出到一个文本文件（。txt）的使用FPRINTF 图形用户界面允许播放控制，文字编辑和独奏/静音选项。(The functions convert sol-fa notation in plain text to a matrix or to a MIDI sequence that represents the sound, or read the note data from a MIDI sequence and convert it to sol-fa notation. The GUI is an attempt at a sol-fa editor and a staff-to-sol-fa converter. Functions will work while the sol-fa2soundfcn folder is on the Matlabpath. Use the pathtool command or Set path... from the File menu, and add the sol-fa2soundfcn folder. The m-code calculates pitches and durations from the plain text input and generates a signal for the speakers as y = Y* sin(2* pi* f* t), 0 < t < duration or generates note data for a MIDI sequence as timestamp pitch velocity timestamp ... The output is written to: * speakers using SOUNDSC * audioplayer object using AUDIOPLAYER * WAVE Sound file using WAVWRITE * MIDI sequence using FWRITE To generate sol-fa notation, the m-code gets the note data from a MIDI sequence using FREAD, converts it to sol-fa symbol)

关于感知机的一个神经网络例子，适合初学者 可以下来看看(On a neural network perceptron example, suitable for beginners can be down to see)

Software PSAT Analysis

The book describes a variety of optimization problems: unconstrained, constrained, gradient, and nongradient techniques duality concepts multiobjective optimization linear, integer, geometric, and dynamic programming with applications and finite element–based optimization

基于QPSK的电力线载波信道模型仿真分析(Modelling and analysis of a power line communication system with QPSK modem)

Delta function and its differential

安装在墙上的鱼眼摄像机纠正算法。根据算法文献编写的源代码。采用经纬拉伸原理对图像进行校正。 附带实验图片，在matlab中打开可以直接运行。( Fisheye cameras mounted on the wall of the correction algorithm. According to the algorithm source code written literature. Using the principle of the warp and weft stretch the image correction. Incidental experimental picture, opens in matlab can run.)

3Easy Small Cell Backhaul LTE基站回传设备介绍。(3Easy Small Cell Backhaul Feb 2012.rar)

书名：现代控制引论教程 Matlab辅助实验 本教材共9章。第1章介绍了经典控制论的主要内容，这是研究控制论问题时最初引入的理论和方法；第2章是现代控制论采用的状态空间描述，包括连续时间和离散时间空间模型；第3章是系统状态分析；第4章介绍了现代控制论的两个标志性的内容．即系统状态的能控性和能观性，以及能控性和能观性的判定等内容；第5章介绍了系统各种稳定性的概念和判别方法；第6章是在前5章分析的基础上，讨论了系统综合问题，如极点配置、镇定等；第7章介绍了最优控制的基本方法——极小值原理和动态规划法；第8章和第9章分别对控制论的两个分支：随机系统的状态滤波与控制和自适应控制方面等内容作了基本介绍。 (Title: Introduction to modern control experiment textbook tutorial of Matlab including 9 Chapters: Chp1 introduces the main content of classical control theory, cybernetics is the study of this problem first introduced the theory and methods in Chp2 of the modern control theory using state-space description, including the continuous time and discrete time space model Chp3 is the system state analysis Chp4 describes the modern control theory, the two iconic content. The state of the system controllability and observability and controllability and observability of the decision, etc. Chp5 introduces the concept of system stability and discrimination of various methods Chp6 is based on the former 5 chapters and discusses the systems integration issues, such as pole placement, stabilization, etc. Chp7 describes the basic method of optimal control- minimum principle and dynamic programming Chp8 and 9, respectively, on control theory The two branches: the state of stochastic)

最优化方法实验设计，研究Broyden族拟Newton算法中fai(k)取值的优化问题,即对于不同的目标函数，考虑取何值时算法是最优的，重点考察的区间[-2 2]范围内的变化情况，算法的优劣程度由CPU运行时间决定。(Optimization method, design of experiments to study the proposed Newton algorithm Broyden family fai (k) values of the optimization problem, namely, for different objective functions, given the value of taking what algorithm is optimal, focusing on inspection interval [-22] changes within the scope of the algorithm' s advantages and disadvantages of the decision level from the CPU running time.)