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maximum-likelihood estimation (MLE) method In statistics

In statistics, maximum-likelihood estimation (MLE) is a method of estimating the parameters of a statistical model. When applied to a data set and given a statistical model, maximum-likelihood estimation provides estimates for the model's parameters...
  book        Delphi     

maximum likelihood estimation OF CARRIER FREQUENCY OFFSET

The attached matlab code for maximum likelihood estimation OF CARRIER FREQUENCY OFFSET is useful to estimate and correct the CFO in OFDM...
  Matlab        Matlab     

Mixing matrix estimation in instantaneous blind source separation

This program will estimate the single source points present in the instantaneous mixtures and using the estimated single source points the mixing matrix will be estimated. Then the error in mixing matrix estimation and the latest estimated mixing matrix will be returned. Here the hierarchical clu...
  Matlab        Matlab     

OFDM channel estimation

CFO(carrier frequency offset) and channel estimation in 802.11 system. The algorithm use the subspace based approach to estimate the CFO....
  Algorithm        Matlab     

MLSE(maximum likelihood Sequence Estimate)Equalizer

The MLSE Equalizer block uses the Viterbi algorithm to equalize a linearly modulated signal through a dispersive channel. The block outputs the maximum likelihood sequence estimate (MLSE) of the signal, using your estimate of the channel modeled as a finite input response (FIR) filter....
  Matlab        Matlab     

maximum entropy

Yet Another Small MaxEnt Toolkit: YASMET This is a tiny toolkit for performing training of maximum entropy models. It is a generic toolkit, which is applicable to conditional maximum entropy models. A special feature of this program is that it is written only in 132 lines of code (can be print...
  Linux programming        C++     

H264 motion estimation in VHDL

H264 estimation algorithms, VHDL description, detailed Readme document from github. FPGA and SOC can have a try....
  Algorithm      VHDL     

Lucas_Kanade Motion estimation

A motion estimation calculations of MATLAB files, I have been tested, it's great!...
  Image Processing        Matlab     

Empirical orthogonal function (PCA) estimation for EEG time series

This source contains the empirical orthogonal functional analysis (EOF) calculation for an individual or population of EEG power spectrum multivariate time series. The zip file contains several versions of the code useful for different contexts, including code that returns only the first EOF versus...
  Matlab        Matlab     

Progressive Search Space Reduction for Human Pose estimation

articulated_human_pose_estimation_code/ Related Publications [1] Ferrari, V., Marin-Jimenez, M. and Zisserman, A. Progressive Search Space Reduction for Human Pose estimation Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2008)  Bibtex source | Abstract |...
  Image Editing        Matlab     

Joint Channel and DOA estimation for Multicarrier CDMA Uplink Transmissions

The use of antenna arrays in wireless communications makes it possible to estimate the directions of arrival (DOAs) of impinging waveforms. The latter can be exploited to enhance channel estimation accuracy or as an input for advanced mobile positioning systems. In this paper, we consider the up...
  Communication        PDF     

channel_estimation

this is channel estimation code, containing three methods including LS, MMSE and ideal estimation...
  Matlab        Matlab     

Satellite attitude estimation by EKF

Satellite attitude estimation by EKF THIS report reviews the methods of Kalman filtering in attitude estimation and their development over the last two decades. This review is not intended to be complete but is limited to algorithms suitable for spacecraft equipped with three-axis gyros a...
  Matlab        Matlab     

Block Matching Algorithms for Motion estimation

This paper (and accompanying MATLAB source code) is a review of the block matching algorithms used for motion estimation in video compression. It implements and compares 7 different types of block matching algorithms that range from the very basic Exhaustive Search to the recent fast adaptive algori...
  Matlab        Matlab     

Point-wise adaptive window size estimation

Point-wise adaptive window size estimation for masked and full neighbourhood Pointwise linear LPA with the ICI adaptive window sizes is used for the pixel wise filtering;...
  Matlab        Matlab     

mimo ofdm channel estimation,I/q imbalance&MMSe calculation

IN recent years, direct conversion receiver has drawn a lot of attention due to its low power consumption and low implementation cost. However some mismatches in direct conversion receiver can seriously degrade the system performance, such as in-phase and quadrature-phase (I/Q) imbalance and car...
  Matlab        Matlab     

Sequential quadratic programming procedure

For sequential quadratic programming procedures, as long as the preparation of different objective functions, derivative of the target function, constraints, constraints are the Jacobian matrix of a function, find the maximum or minimum values of different issues. Solving sequence quadratic programm...
  Algorithm        Matlab     

MaxPQ maximum priority queue

/************************************************************************* * Compilation: javac MaxPQ.java * Execution: java MaxPQ < input.txt * * Generic max priority queue implementation with a binary heap. * Can be used with a comparator instead of the natural ord...
  Algorithm        Java     

MIMO channel estimation

Introduces multi-multi-antenna antenna sends and receives (MIMO) fundamentals of wireless communication, and MIMO technology in broadband wireless communications, collaborative communications and related applications in a wireless network. Performance analysis and simulation of results in the book,...
  Matlab        Matlab     

Channel estimation of OFDM signals using LS

The method of least squares, also known as regression analysis is used to model numerical data obtained from observations by adjusting the parameters of a model so as to get an optimal fit of the data. The best fit is characterized by the sum of squared residuals have its&nb...
  Matlab        Matlab     

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