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MyChannel
3个计算信道容量的源码集合，由易到难，适合初学者自学，使用迭代算法(3 Calculation of channel capacity of the source collection of easy to difficult, suitable for beginners self-study, using an iterative algorithm)
- 2011-01-03 16:00:14下载
- 积分：1
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SVM
In this paper, we show how support vector machine (SVM) can be
employed as a powerful tool for $k$-nearest neighbor (kNN)
classifier. A novel multi-class dimensionality reduction approach,
Discriminant Analysis via Support Vectors (SVDA), is introduced by
using the SVM. The kernel mapping idea is used to derive the
non-linear version, Kernel Discriminant via Support Vectors (SVKD).
In SVDA, only support vectors are involved to obtain the
transformation matrix. Thus, the computational complexity can be
greatly reduced for kernel based feature extraction. Experiments
carried out on several standard databases show a clear improvement
on LDA-based recognition
- 2010-02-20 01:10:17下载
- 积分：1
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hdb3
说明： 自己做的基于MATLAB的HDB3编码，已经通过了调试( HDB3 code based on MATLAB)
- 2010-05-04 20:34:08下载
- 积分：1
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mask_filter
mascara binaria y filtrado
- 2013-10-19 00:50:22下载
- 积分：1
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EEG-feature-extraction
脑电特征提取的的matlab算法EEG feature extraction(EEG feature extraction algorithm matlab EEG feature extraction)
- 2020-11-05 10:29:54下载
- 积分：1
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fm
说明： fm modulation - demodulation(fm modulation- demodulation)
- 2009-11-13 16:12:46下载
- 积分：1
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LMSE
LMSE算法实现判断线性可分性和求分界向量(LMSE algorithm for linear separability judgment and seek demarcation vector)
- 2020-08-31 19:38:10下载
- 积分：1
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GA-matlab
在matlab实现的遗传算法，不错!希望和大家一起分享……(matlab GA)
- 2010-05-06 09:30:49下载
- 积分：1
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Su
说明： s法提取背景，为实现运动目标检测打下基础 matlab (s extraction of background, to lay the foundation for moving target detection matlab)
- 2011-05-23 11:41:38下载
- 积分：1
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vioce-signal-processing
录制自己的一段语音，时间控制在15秒到30秒左右；利用wavread函数对自己的语音进行采样，记住采样频率。
（1）画出原始语音信号的时域波形，而后以1秒为间隔，求出每秒数据的功率谱。
（2）根据语音信号特点，分别设计FIR及IIR滤波器，分别画出滤波器幅频和相频特性曲线。用设计的滤波器对信号滤波，画出滤波后时域波形。用sound函数回放语音信号。
（3）求出特征频段语音信号随时间变化的曲线（每间隔0.05秒求一次功率谱）。
(Record your own voice for some time (15 seconds to 30 seconds) use wavread function of the voice samples, remember the sampling frequency. (1) Draw the original speech signal in time domain waveform, and then to 1 second intervals, the data obtained power spectrum per second. (2) According to the voice signal characteristics, FIR and IIR filters were designed, namely to draw the amplitude and phase frequency characteristic curve. With the design of the filters on the signal filtering, to draw the filtered time-domain waveform. Playback with sound function of the speech signal. (3) Find the characteristic band speech signal curve over time (0.05 seconds intervals seeking a power spectrum.))
- 2011-06-01 22:29:27下载
- 积分：1
