-
Higher-Order-Analysis-Toolbox
matlab高频分析工具箱，包括各种谱分析函数(frequency analysis matlab toolbox, including spectral analysis functions)
- 2013-07-31 16:51:56下载
- 积分：1
-
fibonaccisearch
fibonacci search for finding the lamda value in interior penalty method..
- 2011-10-18 15:49:28下载
- 积分：1
-
ZF--MATLAB
有关迫零均衡方面的研究，基于MATLAB平台的仿真，值得一看。(The study, based on zero-forcing equalizer MATLAB simulation platform, worth a visit.)
- 2013-03-21 11:29:47下载
- 积分：1
-
data-clusteringpattern-recognition
用matlab语言编程，用于数据聚类和模式识别的源代码。(Matlab language program, used for data clustering and pattern recognition of source code
)
- 2011-11-07 15:55:55下载
- 积分：1
-
oqpsk
使用m语言对OQPSK调制方式进行仿真模拟，可以得到OQPSK调制前后以及加噪前后基带信号对比、频谱对比、星座图和误码率(您是不是要找： 使用c语言对QPSK调制方式进行仿真模拟,可以得到OQPSK调制前后以及加噪前后基带信号对比、频谱对比、星座图和误码率
Use m language OQPSK modulation system simulation, you can get around the OQPSK modulation, and baseband signal plus noise before and after contrast, spectral contrast, constellation diagrams and bit error rate)
- 2020-12-24 21:19:05下载
- 积分：1
-
chaosPhi
由逻辑图生成的混沌矩阵，可用于压缩感知的采样矩阵(Can be used to compress the sampling matrix of perception)
- 2020-11-26 10:19:32下载
- 积分：1
-
calculator
calculator visual C# windowprograming
- 2010-06-14 12:33:06下载
- 积分：1
-
reverberation_shum
Settles an invoice time of reverberation. A test signal - white noise. The analysis to be made through 1/3 octava filters. Time of record of a signal of white noise 1 second. Duration of the analysis of process of reverberation 1 second. Time of transients which arise during reverberation is considered.
- 2010-10-21 20:07:47下载
- 积分：1
-
Matlab-CR
说明： 使用MatlaB进行仿真，分析各种频谱感知方法，对比优缺点，展望未来发展情况(Use MatlaB simulation, analysis of various spectrum sensing method, compared the advantages and disadvantages, the future development of)
- 2011-03-29 21:58:38下载
- 积分：1
-
linecoords
Edge detection result should be enhanced using linear method like Median filter to
remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the
centre of the pupil by counting the number of black pixels (zero value) of each column and
row. Then get each row and column that has the maximum number of these black pixels.
Then determine the center by simple calculation according to the image coordinate to set it
correct on the image, consequently we can determine the radius of the pupil. Thus we can find
the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to
locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms
of circle and ellipse.
- 2011-11-18 02:06:20下载
- 积分：1
