资源列表
[matlab例程] noise_estimation
说明:噪声谱估计方法,包括“minimum tracking”,“MCRA algorithm”,“IMCRA algorithm”,“Continuous minimal tracking”。-This folder contains noise-estimation algorithms,include: minimum tracking , MCRA algorithm , IMCRA algorithm , Continuous minimal tracking .<tom> 在 2025-07-07 上传 | 大小:176kb | 下载:0
[matlab例程] subspace
说明:语音增强中的子空间算法,klt算法以及pklt算法,内附参考文献。- folder contains subspace algorithms: REFERENCES Hu,Y.and Loizou,P.(2003).A generalized subspace approach for enhancing speech corrupted by colored noise.IEEE Trans. on Speech and Audio Processing,11,334-341.<tom> 在 2025-07-07 上传 | 大小:42kb | 下载:0
[matlab例程] obj_evaluation
说明:多种语音信号质量评判工具,包括pesq、LLR、坂仓距离等。-This folder contains implementations of objective measures,include:PESQ measure,Likelihood-ratio measure,takura-Saito measure and so on.<tom> 在 2025-07-07 上传 | 大小:437kb | 下载:0
[matlab例程] spectral_subtractive
说明: Enhancement of speech corrupted by acoustic noise , A multi-band spectral subtraction method for enhancing speech corrupted by colored noise. , Spectral sub-traction using reduced delay convolution and adaptive averaging. 等三篇文章的MATLAB仿真代码。-MATLAB co<tom> 在 2025-07-07 上传 | 大小:96kb | 下载:0
[人工智能/神经网络/遗传算法] Intelligence-Computer_benchmark
说明:智能计算,优化理论方面的23个测试函数中的典型四个benchmark函数,为了便于绘图显示,取2维,但代码可以扩展成10、30维的-Intelligent computing, optimization theory 23 test functions of a typical four benchmark functions, in order to facilitate the drawing show, take a two-dimensional, but the code can be<邱陈辉> 在 2025-07-07 上传 | 大小:7kb | 下载:0
[人工智能/神经网络/遗传算法] BuildEnergyPredictionUsedBP
说明:建筑能耗预测的matlab编写的m文件,利用环境信息进行预测-the m file of build energy prediction<yaolili> 在 2025-07-07 上传 | 大小:1kb | 下载:0
[matlab例程] ARTCode
说明:This code is as per SPECT reconstruction By: Martin Š ámal Charles @ Regional Training Workshop on Advanced Image Processing of SPECT Studies 19-23 April 2004. The principle of the iterative algorithms is to reconstruct an image of a tomo<keyvan> 在 2025-07-07 上传 | 大小:2kb | 下载:0
[matlab例程] dnlm
说明:The algorithm (called dynamic non-local means) is very effective on 4D medical images (i.e. contrast-dynamic sequences such as DCE-MRI, fMRI and dynamic PET). This implementation is straight-forward and is thus not efficient (computationally). How<keyvan> 在 2025-07-07 上传 | 大小:3kb | 下载:0