资源列表
MATLAB-environment-voice-recognition
- 介绍了一种基于 MA T L A B的多个特定人连接词语音识别的方法，并提出了在进行端点检测时，引入平均的概念能进一 步提高识别率。 此设计是以 L P C C系数、 D T W 算法为核心的基于图形界面的设计。 通过大量的实验测试 ，表明该方法基本达 到屏蔽外界环境的影响 ， 具有非常高的精度识别-: In this paper based on a number of specific persons MA TLAB conjunctions speech recognition
89898989
- Shumaila Iqbal, Tahira Mahboob and Malik Sikandar Hayat Khiya
COBRA v5
- The COBRA The COBRA is a suite of Matlab codes for background subtraction in spectroscopy (in particular Raman and SERS spectra), based on wavelets transforms. To download, unzip this .zip file and follow the instructions in the user manual for
第03章 非线性规划
- 解决非线性规划的建模问题，可以较好的处理优化问题，并提供相关的实例及源程序。(Solving nonlinear programming modeling problems can better handle the optimization problems, and provide related examples and source programs.)
语音情感识别
- 基于matlab的语音情感识别代码,通过对语音进行特征提取，最终实现离散情感识别(speech emotion recognition based on matlab)
Huffman
- 根据Huffman编码方法的原理,实现建立Huffman树的功能.并自定义简单输入数据,检验结果.由键盘输入的任意字符流,输出显示每个字符的编码,并计算压缩比-According to the principle of Huffman encoding method to achieve the establishment of Huffman tree functions. And customize a simple input data, the test results. Of any
49c9266d5837
- PID的仿真...应用模糊逻辑理论在线修正P，I，D的三个参数-Simulation of PID fuzzy logic theory ... line correction P, I, D of the three parameters
8-2
- 在查找二叉树中增加三个功能：删除小于某一值的所有元素；删除大于某一值的所有元素；删除某一范围中的所有元素。-Increase in the binary tree to find three functions: remove all elements smaller than a certain value delete all elements is greater than a certain value delete a range of all the elements.
specfun.rar
- 计算特殊函数的fortran程序，对搞数值计算的非常有用,Fortran code for special functions calculation
nen
- Huffman compression by Visual C++2008
muscle3.7_src
- unix,linux下编译。用于蛋白质，DNA序列比对，支持双序列或多序列比对。 -unix, linux under the compiler. For protein, DNA sequence alignment to support the dual-sequence or multiple sequence alignment right.
bp_application_2
- 用BP神经网络实现输入x=0.3*sin(i*pi/50)+0.4*sin(i*pi/25)到输出y(n)=1/(1+3*y(n-1)+x(n)*x(n))的近似模拟，其中y（0）=0.15-BP neural network input x = 0.3* sin (i* pi/50)+0.4* sin (i* pi/25) to the output y (n) = 1/(1+3* y-(n-1)+approximate simulation of x (n)* x (n)), where y