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chirplet_analasis
- 一种自适应chirplet分解的快速算法 针对信号自适应chirplet分解未知参数多、实现起来比较困难的特点，文献[1]提出了一种新的chirplet分解快速算法。该算法利用计算信号的二次相位函数，得到其能量分布集中于信号的调频率曲线上的结论，此时通过谱峰检测可同时获得chirplet调频率、时间中心和幅度的估计；然后通过解线性调频技术获得其初始频率和宽度的估计，仿真结果验证了本文算法的有效性。 -Chirplet an adaptive decomposition al
DSP_C-MATLAB-FORTRAN
- 含有《数字信号处理－理论、算法与实现》一书中所涉及到的绝大部分算法,DSP_FORTRAN, DSP_C和DSP_MATLAB。DSP_FORTRAN和DSP_C各含有约40个信号处理的子程序。 用C语言编写的MA模型、ARMA模型及最小方差谱估计三个算法程序.-Contain " Digital Signal Processing- Theory, Algorithm and implementation of" one book relates to the v
voice
- 基于谱减法的语音端点检测，运用了语音增强，去噪，谱减，加窗，端点检测等方法-Spectral subtraction based speech endpoint detection, using a speech enhancement, denoising, minus spectrum, add windows, endpoint detection methods such as
StatisticalndAdaptiveSignalProcessing
- Introduction to Statistical and Adaptive Signal Processing – Random Signals – Spectral Estimation – Signal Modeling – Adaptive Filtering • Course Overview – Course Outline – Textbook – References-Introduction to Statistical and
subplus
- 一个最初版本的谱减法程序，其它的修正形式可以在它基础上稍微修改即可-An initial version of spectral subtraction procedures, other amendments may be in the form at its foundation on a slight modification to
SpeechEnhancementusingSpectralSubtraction
- Simulation of Speech Enhancement using Spectral Subtraction
Spectral_Segmentation_with_Multiscale_Graph_Decomp
- 多尺度的光谱图像分割，有对应的论文和matlab及c++代码-Multiscale spectral image segmentation, there are papers and the corresponding matlab and c++ code
spectraMatch
- 该程序包包含了高光谱匹配中所用到的多种光谱匹配方法：光谱角度匹配，光谱相关匹配，相关角度匹配，梯度角度匹配，离散信息匹配，离散信息角度匹配等-The package includes several matching methods commonly used in high spectra remote Sensing。These are spectral angle matching(SAM）,spectral correlation matching(SCM),spectral corre
3.0
- 谱减法语音增强程序，可以给初学者提供学习的参考。-Spectral subtraction speech enhancement procedure can give a reference for beginners to learn.
clustering
- To identify distinguishable clusters of data in an n-dimensional pixel value image. Given: Samples of multi-spectral satellite images -To identify distinguishable clusters of data in an n-dimensional pixel
xiaobobianhuan
- 利用小波变换多尺度分析的特性,在小波域的各个尺度上选取不同的阈值对基本的频域谱减法进行改进,并且根据清浊音各自不同的特点,在去噪过程中加以分离,保留了语音中的清音成分,使语音更加饱满。-The use of multi-scale wavelet analysis of the characteristics of the individual in the wavelet domain scale threshold select a different frequency domain of
kolmog
- 给定任意一个子波，通过克基霍夫变换返回最小相位子波。-Kolmogoroff spectral factorization. Given an arbitrary wavelet this function retrieves the minimum phase wavelet using Kolmogoroff factorization
SSPARA98
- A Parametric Formulation of the Generalized Spectral Subtraction Method
chxu
- 本程序用于测量增强语音与纯净语音的对数谱距离，用于语音增强。对数谱距离越小，表明增强语音与纯净语音越接近，增强语音质量越好；反之，则增强语音质量越差。-Calculates the average log-spectral distance between CLEAN and NOISY signals. Frames are 25ms long with 60 percent (15ms) overlap, hamming windowed. RS is the remove
sm-matlab-2ed
- P. Stoica经典著作《Spectral Analysis of Signals》程序。包括AR模型、ARMA、MUSIC等40多个程序-P. Stoica classic " Spectral Analysis of Signals" procedures. Including the AR model, ARMA, MUSIC, such as more than 40 procedures
pcsa
- Principal Component Spectral Analysis
mimo_sim
- MIMO 系统仿真，对时变信道的自适应调制-erq.m : function for ERQ algorithm in MIMO systems space_wf.m : function for spatial domain power waterfilling st_wf.m : function for spatial and temporal domain waterfilling MIMO_rate.m : Plot spectral efficiency vs SNR f
vblast_sim
- VBLAST系统仿真，针对时变信道的自适应调制算法-erq.m : function for simulating ERQ algorithm with Gap parameter sqpc_g.m : function for simulating SQPC algorithm with Gap parameter sr_g.m : function for simulating SR algorithm with Gap parameter vblast_rate.m : fun
UsingFFTforspectralanalysisofsignals
- 用FFT对信号作频谱分析.通过本次试验学会了用FFT对连续信号和时域离散信号进行谱分析的方法，并了解了可能出现的分析误差及其原因。-Using FFT for spectral analysis of signals
Spectral-estimation-of-AR-model-and-music-esprit.r
- 谱估计,包括自相关,协方差,修正协方差,burg法,另外还有MUSIC和ESPRIT法-Spectral estimation, including the auto-correlation, covariance, Covariance amended, burg method, as well as MUSIC and ESPRIT method