IEEE80211_OFDM

Efficiency optimization of IPMSM with PI controller and loss minimization algorithm. Good for comparison and simulation results.

报道了在掺钛蓝宝石环形激光器中加入非线性折射率 n2较大的 SF-57玻璃形成腔内可控 的 SPM效应 ,并引入适当的负 GVD,将脉冲宽度从 30 fs压缩至 16 fs,相应的脉冲压缩率为 47 (Join the nonlinear refractive index n2 reported greater SF-57 titanium sapphire glass ring laser cavity formed in a controlled The SPM effect, and the introduction of a suitable and negative GVD, the pulse width 30 fs compressed to 16 fs, corresponding pulse compression rate of 47 )

AES 加密和解密的 MATLAB GUI 程序Demo 密匙长度 128、192、256bit 全部程序为源码设计(AES 128bit/192bit/256bit Demo )

正对电机双闭环的系统调试的matlab中simulink仿真模型(Is the double closed loop system debugging of motor in the matlab simulink simulation model)

duda 模式分类 第五章 上机练习代码（原创，不是网内流传的官方工具箱，比较全，大部分已调试）对应课后题的题号(Pattern Classification 2nd CH5 code practice)

张雪英编著的数字语音处理书中的程序，内容比较全面，程序质量有所保证，对于刚接触语音的新手有所帮助。。。。(ZHANG Xue-ying edited book digital voice processing program. . . For the fourth year voice newbie help. . . .)

基于MATLAB的非导数优化仿真方面的资料(MATLAB-based non-derivative optimization simulation information)

The latest generation of high-end video cards off er considerable computing power using their 100–200 on-card processors, 0.3–1.0+ GB of RAM, and fast inter-processor communications. One promising application of this Graphics Processing Unit (GPU) computing capability is through Matlab and Matlab mex functions. With a properly developed mex function, the user-friendly Matlab interface can be used to perform behind-the-scenes parallel computations on the GPU. (The latest generation of high-end video cards offer considerable computing power using their 100-200 on-card processors, 0.3-1.0+ GB of RAM, and fast inter-processor communications. One promising application of this Graphics Processing Unit (GPU) computing capability is through Matlab and Matlab mex functions. With a properly developed mex function, the user-friendly Matlab interface can be used to perform behind-the-scenes parallel computations on the GPU.)

通信的数字化是它能与计算机技术和数字信号处理技术相结合的基础，而实现通信数字化的前提是信源能提供的各种用于传递的消息，例如语音、图像、数据、文字等都必须以数字化形式表示。而信源编码是数字通信系统中的重要组成部分，他是保证信号有效传输的一种重要方式。霍夫曼编码依据字符出现的概率来构造异字头的平均长度最短的码字，有时称之为最佳编码，其优越的性能被广泛使用在数字通信系统中。霍夫曼编码已经成为数据压缩的灵魂算法。本文介绍了无失真编码算法的构造，霍夫曼编码的规则和特点，同时分析了对信源进行优化的方法，最后通过MATLAB仿真来讨论比较二元霍夫曼编码、三元霍夫曼编码以及信源扩展编码的效率，来实现霍夫曼码的优化构造。(The digital communication is it can and computer technology and digital signal processing technology in combination of the base, and realize the digital communication is the premise of source can provide all kinds of used to deliver news, such as voice, video and data and text must take the digital form said. And the source coding digital communication system is the important component, he is to ensure the effective transmission signal is an important way. Huffman coding based on the probability of characters appear to construct different "the average length of the shortest code words, sometimes called the best coding, superior performance is widely used in digital communication system. Huffman coding has become the soul of data compression algorithm. This paper introduces the structure of the encoding algorithm without distortion, Huffman coding rules and characteristics, and analysis of the source of the optimization method, and finally by MATLAB simulation to discuss compares two yu)

bounding boxes for faces detection