-
voiceidentify
一个语音识别的程序，用matlab进行训练、识别。(A speech recognition procedure, using matlab for training, identification.)
- 2008-04-12 09:36:31下载
- 积分：1
-
FIR
FIR滤波器的仿真和实现。包括matlab的仿真文件和基于VHDL语言的硬件实现代码。算法包括串行和并行两种。(Simulation and implementation of FIR filters. Including matlab simulation files and hardware implementation based on VHDL code. Including both serial and parallel algorithms.)
- 2015-04-07 16:34:57下载
- 积分：1
-
Matlab-voicebox
Matlab-voicebox 这个里面的文件对于做语音识别有帮助(Matlab-voicebox)
- 2009-04-12 18:52:24下载
- 积分：1
-
chap2
经典PID控制教程，基于simulink的教材全部源代码，第二章(classical pid contral tutorial,based on simulink platform source code ,chap 2)
- 2009-05-24 22:24:59下载
- 积分：1
-
windrose
通过给定的风速数据,自动绘制相应的风玫瑰图。(Through the data from a given wind speed, the corresponding wind rose.
)
- 2013-12-13 14:58:55下载
- 积分：1
-
mvdr_5141040
最坏情况鲁棒自适应波束形成优化。实际应用中,由于阵元位置的细微偏差、阵元之间的幅度相位响应也不可能完全相同、以及有限采样效应等因素,使得实际的方向矢量与其理想值之间存在误差,严重影响了波束的性能。针对这一问题，论文作者在最坏情况下自适应波束形成方法进行研究，并作比较。(Worst case robust adaptive beamforming optimization. In practical applications, the errors between the actual direction vector and its ideal value are caused by the slight deviation of the element position, the impossibility of identical amplitude and phase responses between the elements, and the limited sampling effect, which seriously affects the performance of the beam. In order to solve this problem, the author of this paper studies and compares the adaptive beamforming methods in the worst case.)
- 2021-01-04 17:38:55下载
- 积分：1
-
Track
track算法 简单实用 易于掌握 适合初学者(sobel algorithm is practical and easy to master for beginners)
- 2010-08-22 16:46:24下载
- 积分：1
-
mfcc
说明： 这是个基于matlab环境下，提取mfcc参数的小程序，希望能对大家有帮助。(This is a matlab-based environment, the applet parameter extraction mfcc, hoping to be helpful.)
- 2011-02-24 17:27:24下载
- 积分：1
-
recommend
解决地震信号反卷积的相关问题，这可以但做一个模板，大家可以往里面套用,非常使用！(Seismic signal deconvolution to resolve issues related to, but it can make a template, we can fill it applied very use!)
- 2011-10-17 20:19:29下载
- 积分：1
-
Connected-Component-based-text-region-extraction
The basic steps of the connected-component text extraction algorithm are given below,
and diagrammed in Figure 10. The details are discussed in the following sections.
1. Convert the input image to YUV color space. The luminance(Y) value is used for
further processing. The output is a gray image.
2. Convert the gray image to an edge image.
3. Compute the horizontal and vertical projection profiles of candidate text regions
using a histogram with an appropriate threshold value.
4. Use geometric properties of text such as width to height ratio of characters to
eliminate possible non-text regions.
5. Binarize the edge image enhancing only the text regions against a plain black
background.
6. Create the Gap Image (as explained in the next section) using the gap-filling
process and use this as a reference to further eliminate non-text regions the
output.
- 2014-12-16 00:41:34下载
- 积分：1
