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Digital-Signal-Processing-LiTAN

于 2013-12-05 发布 文件大小:6394KB
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  Digital Signal Processing-LiTAN

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  • ImageRegionGrowing
    希望大家给予支持,可以运行的呀,有空的话来学习学习(hope that we can give support, running it, the time to do so to learn from)
    2006-06-19 17:21:56下载
    积分:1
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    2011-05-26 03:49:52下载
    积分:1
  • bingwangipiq
    主要实现并网过程中基于瞬时无功的谐波检测和无功补偿,能够很明显的看出补偿前后的电网电流波形对比图(Mainly realized in the process of harmonic detection based on instantaneous reactive power and reactive power compensation, can clearly see the grid before and after the compensation current waveform comparison chart)
    2014-11-08 22:06:36下载
    积分:1
  • taup_fan
    tau-p反变换的代码,已编译成函数,可直接调用。具体使用见代码说明。(Anti-tau-p transform the code has been compiled into functions that can be called directly. See description of the specific use of the code.)
    2010-10-29 15:49:59下载
    积分:1
  • PhysioNet_ECG_Exporter
    将mit/db心电数据库中的心电数据的数据转存为.mat格式的文件(The mit/db ECG ECG data in a database data dump to. Mat format)
    2010-11-03 15:25:05下载
    积分:1
  • Simple
    说明:  最优化理论与方法 课本算法 matlab实现 单纯形法(对偶) 具体使用方法见程序说明~(Optimization theory and method to achieve textbook algorithm matlab simplex method (dual) specific description of the procedures to use, see ~)
    2010-03-19 16:47:04下载
    积分:1
  • bat-cochlea-volume
    cardiovascular matlab
    2010-10-27 15:12:28下载
    积分:1
  • simulation-test
    信道利用率和帧长仿真测试 matlab仿真结果(Channel utilization and frame length simulation test Matlab simulation results)
    2013-04-11 20:19:20下载
    积分:1
  • CHAOGAOSI
    研究表明超高斯分布更加贴近语音信号的实际分布,然而语音信号很难用单一的概率密度 函数准确描述,针对这一情况,提出了一种用超高斯混合模型对语音信号幅度谱建模的新方法,并推导了 基于此模型的幅度谱最小均方误差估的估计式。仿真结果表明:与传统的短时谱估计算法相比,该算法不 仅能够进一步提高增强语音的信噪比,而且可以有效减小增强语音的失真度,提高增强语音的主观感知 质量。 (Recent research indicates that the speech spectral amplitude distributions could be fairly described with super-Gaussian probability density function. However, the complexity of speech signal determines that the distribution statistics ofspeech signal could not be well described by single simple function. Thus a super-Gaussian mixture model for speech spectral amplitude is proposed, and with this model, a minimum mean-square error (MMSE) estimator for speech signals spectral amplitude is derived. The simulation results show that this algorithm based on Gaussian and super-Gaussian speech model could achieve better noise suppression and lower speech distortion as compared with the conventional short-time spectral amplitude estimation algorithm. )
    2014-01-18 10:13:52下载
    积分:1
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    2007-07-31 12:10:08下载
    积分:1
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