搜索资源列表
Spectral
- 频谱泄露及加窗的simulink仿真文件，研究频谱泄露现象及加窗的解决方法。-Spectral leakage and increase window simulink simulation of documents, studies the phenomenon of spectral leakage and windowing solution.
MPD
- MPD is a decomposition spectral method for seismic data and also for signal analysis too. It works based on atoms, book, and dictionary. We start from WPP Pursuit, incorporating another four files in a one worksheet on MATLAB.
Spectral_Clustering
- this for spectral clustring
spectralclustering-1.1
- This directory includes sources used in the following paper: Parallel Spectral Clustering in Distributed Systems Wen-Yen Chen, Yangqiu Song, Hongjie Bai, Chih-Jen Lin, and Edward Chang Accepted by IEEE Transactions on Pattern Analysis and
SpectraLib
- This toolbox contains the code written to perform various spectral clustering algorithms. The details related to the code and some experiments is available in [VM03]. This document is very short and the reader is encourage to look at the director
tutorial_on_spectral_clustering
- In recent years, spectral clustering has become one of the most popular modern clustering algorithms. It is simple to implement, can be solved efficiently by standard linear algebra software, and very often outperforms traditional clustering algo
Summaryofpectralclustering
- 谱聚类算法综述，一篇关于普聚类的文章，有兴趣的可以下来看看。-Summary of spectral clustering algorithm, a cluster of articles on general, are interested can look down.
Threetypicalspectralclusteringbasedongraphpartitio
- 三种典型的基于图分割的谱聚类方法比较，模式识别方向相关论文。-Three typical graph-based segmentation of spectral clustering comparison, pattern recognition, the direction of relevant papers.
Spectral-analysis
- 实现用bt法，welch法，周期图法，burg法对信号进行滤波-Achieved with the bt method, welch method, periodogram, burg method of signal filtering
ZPclustering
- 用于图像分割的自调整普聚类算法，可实现大多数图像的无监督分割-Self-tunning spectral clustering for image segmentation
KECA
- Kernel Entropy Component Analysis,KECA方法的作者R. Jenssen自己写的MATLAB代码，文章发表在2010年5月的IEEE TPAMI上面-Kernel Entropy Component Analysis, by R. Jenssen, published in IEEE TPAMI 2010. We introduce kernel entropy component analysis (kernel ECA) as a new method
SpectralMatting-code.tar
- 实现了Anat Levin的Spectral Matting代码-the code of Spectral Matting
encoder
- Implementation of a speech codec based on coding of speech at 8 kbit/s using conjugate-structure algebraic-code-excited linear-prediction (CS-ACELP) - We took .wav files that is sampled at 8000 Hz using 16-bit linear PCM. The encoding process i
16QAM
- 16QAM因其高频谱利用率而被第三代移动通信增强型技术HSDPA采用。由于Turbo译码需要软信息输入，因此，解调输出需要计算比特软信息（LLR）。本文分析了LLR理论算法并在此基础上导出了简化算法。-16QAM its high spectral efficiency have been enhanced third-generation mobile communication technology HSDPA use. Turbo decoding requires soft inform
daopufenxi
- 倒谱分析 倒谱分析是指信号短时振幅谱的对数傅里叶反 变换。它具有可近似地分离并提取出频谱包络信息 和细微结构信息的特点-Cepstrum analysis cepstrum analysis is the signal amplitude spectrum on the number of short-time Fourier inverse transform. It has can be approximately isolated and extracted spectral en
SpeechEnhancement_SS
- Speech Enhancement Using Spectral Subtraction A Spectral Subtraction implementation for speech enhancement using MATLAB 6.5
Scrosspectrum
- 一维连续功率谱分析 一维序列x(n)的连续功率谱分析，ol(0:m)频率，tl(0:m)周期，sl(0:m)连续功率谱，st95(0:m)红噪音或白噪音谱的95 置信上限，strw(0:m) 红噪音或白噪音的谱密度，其中m=[n/2.]。 -Continuous power spectral analysis of one-dimensional one-dimensional sequence x (n) of continuous power spectrum analysis, ol
LogSpectralDistance_LP
- 计算源信号和噪音之间的频谱差，用于噪音估计等。-Calculates the average log-spectral distance between CLEAN and NOISY signals
coherencee mvdr
- —The minimum variance distortionless response (MVDR) approach is very popular in array processing. It is also employed in spectral estimation where the Fourier matrix is used in the optimization process. First, we give a general form of the M
vuvuzela_sound_cancelation
- Based on the spectrum of the vuvuzela sound, this denoising technique simply computes an antenuation map in the time-frequency domain. Then, the audio signal is restored by computing the inverse STFT. See [1] or [2] for more detail about the algorith