资源列表
SSBTX
- 单边带调制完整建模，实现了希尔伯特变换，DDS，上变频，正交调制-Single sideband modulation of a complete modeling, implementation of the Hilbert transform, DDS, on the frequency, quadrature modulation
vad
- 端点检测程序：一个对输入的语音信号进行处理，找到语音端点的程序-Endpoint detection programs: one of the input speech signal processing, find the speech endpoint program
MATLAB-daptive-filtering
- 自适应滤波matlab源程序，含有波形仿真程序，以及自适应滤波原理，lms算法介绍。-Adaptive filter matlab source code, containing the waveform simulation program, as well as the principle of adaptive filtering lms algorithm is introduced.
GM_EM
- 不错的GM_EM代码。用于聚类分析等方面。- GM_EM- fit a Gaussian mixture model to N points located in n-dimensional space. Note: This function requires the Statistical Toolbox and, if you wish to plot (for k = 2), the function error_ellipse Elem
final
- a sonar programing, radar
fahanshu
- 优化算法 罚函数法，很好用的一种算法。。可以学习。-Optimization algorithm penalty function method, good use of an algorithm. . Can learn.
fenzhidingjie
- 分支定界法，解决整数规划问题，很好的优化算法，可以学习-Branch and bound method to solve the problem of integer programming, a good optimization algorithm can learn
trainpso
- 例子群算法，可以训练的粒子群学习算法，优化算法中高级的算法。。很好用-Examples swarm algorithm, Particle Swarm learning algorithm can be trained to optimize the algorithm algorithm senior. . Good use
rosenbrock
- rosenbrock优化算法，。很好用的算法，需要改进，是最常用的算法之一-rosenbrock optimization algorithm. Good algorithm needs to be improved, it is one of the most commonly used algorithms
MATLAB-function-library-dictionary
- 本辞典紧跟MATLAB发展的动态。搜集整理了1 000余条MATLAB的使用函数，以英文字母的先后顺序进行排序，在介绍每个函数的过程中，分别介绍了函数的语法、描述、应用实例以及与之相似的函数，可以让用户在学会一个函 数的同时，触类旁通地领会其他类似函数的用法，让用户更全面地掌握MATLAB的知识，在进行MATLAB开发时能方便快捷地查询到相关函数的使用方法。-The Dictionary of keeping up the MATLAB development dynamic. Has c
WiMAX-2.2-online
- wimax仿真例程，全套仿真代码，附有liscen和使用手册。通信专业学习用。-wimax simulation routines, complete simulation code, the bearing liscen and user manual. With communications professional learning.
audio-compression-program
- 音频无损压缩程序，加入随机噪声，利用前向预测算出预测误差，再用熵编码，组帧，最后解码-Lossless audio compression program, by adding random noise to the prediction error is calculated using the forward prediction, and then entropy coding, framing, and finally decoding