[sparse channel estimation] - In this mfile it is shown how we can use the sparsity concept for channel estimation.
[channel estimation mat lab code] - estimation mat lab code
[gausian kernel estimator] - In statistics, kernel density estimation (KDE) is a non-parametric way to estimate the probability density function of a random variable. Kernel density estimation is a fundamental data smoothing problem where inferences about the population are made, based on a finite data sample. In some fields such as signal processing and econometrics it is also termed the Parzen–Rosenblatt window method, after Emanuel Parzen and Murray Rosenblatt, who are usually credited with independently creating it in its current form
[Ridge-Distance-Estimation-in-Fingerp...] - IN THIS WE ARE STUDING Ridge Distance Estimation in Fingerprint Images Algorithm and Performance Evaluation
[Optimal-Estimator] - optimal estimation by Emanuel Todorov
[Estimation] - Code to estimate dynamic models
[pose_estimation_code] - pose_estimation_code.shi xian tu xiang de rong he??in tidu yulimian
[Hidden-markov-model-Heart-Sound-Data...] - Heart Sound Localisation & Hidden morkov model estimation
[InTech-Estimation_of_electrical_powe...] - estimation of power quantity
[motion-estimation] - motion estimation in video sequences
