Description: FASBIR(Filtered Attribute Subspace based Bagging with Injected Randomness) is a variant of Bagging algorithm, whose purpose is to improve accuracy of local learners, such as kNN, through multi-model perturbing ensemble.
Reference: Z.-H. Zhou and Y. Yu. Ensembling local learners through multimodal perturbation. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 2005, vol.35, no.4, pp.725-735.
A new blind adaptive multiuser detection scheme based on a hybrid of Kalman filter and
Subspace estimation is proposed. It is shown that the detector can be expressed as an anchored
signal in the signal Subspace and the coefficients can be estimated by the Kalman filter using only
the signature waveform and the timing of the desired user.
％ COMPDIR Computes a search direction in a Subspace defined by Z.
％ Helper function for NLCONST.
％ Returns Newton direction if possible.
％ Returns random direction if gradient is small.
％ Otherwise, returns steepest descent direction.
％ If the steepest descent direction is small it computes a negative
％ curvature direction based on the most negative eigenvalue.
％ For singular matrices, returns steepest descent even if small.
Description The MUSIC algorithm, proposed by Schmidt, first estimates a basis for the noise Subspace and then determines the peaks the associated angles provide the DOA estimates.
The MATLAB code for the MUSIC algorithm is sampled by creating an array of steering vectors corresponding to the angles in the vector angles.
Prony算法工具箱。Prony方法是用一組指數項的線性組合來擬和等間距采樣數據的方法,可以從中分析出信號的幅值、相位、阻尼因子、頻率等信息。considerations including data preprocessing, model order selection, model order selection criteria, signal Subspace selection, signal and noise separation, root inspection and assessing residuals. The PTbox provides flexibility to compare and display analysis results simultaneously for several parameter variations.
