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shuangmenxiananniu
基于Matlab的语音端点检测实验研究的按钮设计(Matlab-based Speech Endpoint Detection Experimental Study on the button design)
- 2008-04-18 15:57:41下载
- 积分:1
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repval
repval(X) finds all repeated values for input X, and their attributes.
(The input may be vector, matrix, char string, or cell of strings
Y=repval(X) returns the repeated values of X
[RV, NR, POS, IR]=repval(X) returns the following outputs
RV : Repeated Values (sorted)
NR : Number of times each RV was repeated
POS : Position vector of X of RV entries
IR : Index of repetition
Example:
X=[1 5 5 9 5 5 1]
[RV,NR,POS,IR]=repval(X)
Output:
RV = [1 5] Numbers 1 and 5 are repeated values
NR = [2 4] Respectively repeated 2 and 4 times
POS = [1 7 2 3 5 6] Position index of X for repeated values
IR = [1 1 2 2 2 2] Corresponding to which index of RV
)
- 2010-12-14 15:13:45下载
- 积分:1
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RCS
该语言由matlab实现,通过catia建模,并在其中进行网格划分,然后由程序读入,用物理光学法计算其雷达散射截面,该算法经多次使用验证。(The language by matlab to achieve, by catia modeling, meshing, and then read by the program, physical optics method to calculate the radar cross section, the algorithm repeatedly verified.)
- 2013-03-24 10:26:17下载
- 积分:1
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voiced-unvoiced-pitch-marking
VOICE UNVOICED SILENCE PITCH MARKING
- 2013-12-10 23:13:39下载
- 积分:1
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xcorr1
关于互相关函数的matlab程序,按照互相关函数公式编写的matlab程序(The matlab program of cross-correlation function
)
- 2012-03-07 19:31:48下载
- 积分:1
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六自由度并联机构运动学正解
说明: 可用于求解六自由度并联机器人正解的matlab程序(Matlab program that can be used to solve the forward solution of a 6-DOF parallel robot)
- 2020-09-21 13:17:54下载
- 积分:1
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chapter2-10
程序是《精通MATLAB 7.0混合编程》配套的源程序,请对照书本使用。(Program is "proficient in MATLAB 7.0 Hybrid Programming" supporting source, please use the control books.)
- 2009-10-11 14:28:19下载
- 积分:1
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BPSK
matlab bpsk qpsk 16qam ask 仿真源程序(matlab bpsk qpsk )
- 2010-10-21 23:03:24下载
- 积分:1
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IS-95
IS-95 matlab源码。包括PN产生,打包,调制,解调,维特编码和解码,接收机等。()
- 2008-04-05 23:41:28下载
- 积分:1
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nueralNetwork
It is demonstrated that neural networks can be used effectively for the identification and control of nonlinear dynamical systems. The emphasis is on models for both identification and control. Static and dynamic backpropagation methods for the adjustment of parameters are discussed. In the models that are introduced, multilayer and recurrent networks are interconnected in novel configurations, and hence there is a real need to study them in a unified fashion. Simulation results reveal that the identification and adaptive control schemes suggested are practically feasible. Basic concepts and definitions are introduced throughout, and theoretical questions that have to be addressed are also described
- 2013-08-07 18:58:45下载
- 积分:1