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functions
空间统计工具箱，非常实用的matlab程序(Spatial statistical toolbox matlab very practical procedures)
- 2008-05-20 22:58:58下载
- 积分：1
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juanji
实现卷积编码、解码，采用篱笆图的方式实现(implement of juanji)
- 2010-05-27 15:38:36下载
- 积分：1
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Elliptical_Filter
IIR Filter Coefficient Quantization Example
％ written by DRB on 6-Dec-2004 for ECE3703
％
％ Looks at unquantized filter (ideal), direct form, and cascaded second
％ order section (SOS).
(IIR Filter Coefficient Quantization Exam ple% written by DRB on 6-Jan-2004 for ECE3703%% Looks at unquantized filter (ideal). direct form, and cascaded second order section% (SOS).)
- 2006-11-08 14:37:07下载
- 积分：1
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UWBBPSK
这个文档采用BPSK超宽带系统。接收器是一个相关接收机具有集成低通滤波器和比较器的门限的选择(This m file models an UWB system using BPSK. The receiver is a correlation receiver with a LPF integrator and comparators for threshhold selection)
- 2014-08-08 17:13:13下载
- 积分：1
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optimization
最优化计算方法常用程序汇编，参考价值很大(failed to translate)
- 2012-10-04 15:04:18下载
- 积分：1
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SM_QAM4_2Rx
4QAM SM with 2RX and 2TX
- 2021-04-13 10:28:56下载
- 积分：1
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untitled2
说明： 此为三相桥式全控整流电路的simulink模型搭建(Three-phase bridge type full control rectifier circuit)
- 2019-10-13 23:01:44下载
- 积分：1
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rebuild_A
重建图像，使图像更为清晰明了，也可以减少程序员的工作量(Reconstructed image, the image is more clarity, can also reduce the workload of the programmer)
- 2012-05-24 19:29:18下载
- 积分：1
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matlab
MATLAB命令学习。。。常用命令总结。可以看看。(MATLAB you can learn)
- 2014-12-29 20:10:21下载
- 积分：1
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Laplace
传统的短时谱估计语音增强算法通常假设语音谱分量相互独立，没有考虑语音谱分量间的相关性。针对这
一问题，该文提出一种新的基于多元Laplace分布模型的短时谱估计算法。首先，假设语音的离散余弦变换(DCT)
系数服从多元Laplace分布，以此利用谱分量间的相关性；在此基础上，利用多元随机矢量的高斯尺度混合模型表
示，推导得到语音DCT系数矢量的最小均方误差(MMSE)估计的解析表达式；并进一步推导了基于该分布模型的
语音存在概率，对最小均方误差估计子进行修正。实验结果表明，该算法在抑制背景噪声和减少语音失真等方面优
于传统的语音增强方法。(The spectral components of speech are usually assumed to be independent in traditional short-time
spectrum estimation, which is not the case in practice. Tosolve this problem, a new speech enhancement algorithm
with multivariate Laplace speech model is proposed in this paper. Firstly, the speech Discrete Cosine Transform
(DCT) coefficients are modeled by a multivariate Laplace distribution, so the correlations between speech spectral
components can be exploited. And then a Minimum-Mean-Square-Error (MMSE) estimator based on the proposed
model is derived using a Gaussian scale mixture representation of random vectors. Furthermore, the speech
presence uncertainty with the new model is derived to modify the MMSE estimator. Experimental results show
that the developed method has better noise suppression performance and lower speech distortion compared to the
traditional speech enhancement method. )
- 2014-01-18 10:44:40下载
- 积分：1
