 StatisticalSignalProcessing
 StatisticalSignalProcessing 
 Signal processing toolkit
 A collection of algorithms and techniques for signal processing in statistical estimation and filtering
Matlab code implementing different methods used in statistical signal processing; mainly Extended Kalman Filters, LMS/RLS, Wiener, robust regression, MMSE estimators, ML estimators, Hi-Frequency estimators (Pisarenko, MUSIC, ESPRIT)
86 stars
 6 watching
 34 forks
 
Language: MATLAB 
last commit: about 4 years ago 
Linked from   1 awesome list  
 Related projects:
| Repository | Description | Stars | 
|---|---|---|
|  | A collection of Matlab scripts and resources for learning digital image processing concepts | 43 | 
|  | A Matlab toolbox providing functions and classes for various signal processing and auditory modelling tasks | 130 | 
|  | A package providing tutorials and functions for signal processing and machine learning with Python. | 64 | 
|  | Provides resources and tools for learning digital image processing techniques using MATLAB. | 217 | 
|  | A software suite for model-based analysis of psychophysiological signals | 45 | 
|  | A collection of signal processing tools in MATLAB | 109 | 
|  | A system identification toolbox for MATLAB and GNU Octave | 84 | 
|  | A collection of signal processing tools and routines for feature extraction in speech processing. | 3 | 
|  | MATLAB implementations of signal processing techniques for Software Defined Radios | 57 | 
|  | Provides functions to interface with the HTK Speech Recognition Toolkit for training and recognizing speech patterns using HMMs and GMMs. | 45 | 
|  | A collection of projects for extracting features from audio and video signals using digital signal processing techniques. | 47 | 
|  | This project provides a collection of MATLAB source code examples for learning speech signal processing techniques | 67 | 
|  | A MATLAB-based educational project on sound signal processing with accompanying source code. | 229 | 
|  | A collection of optimized mathematical functions and tools to facilitate research and benchmarking in MATLAB. | 128 | 
|  | A collection of utility functions for MATLAB that aim to maximize power and generality in performing various tasks. | 46 |