bayeserr - Computes the Bayesian risk for optimal classifier.
％ bayescln - Classifier based on Bayes decision rule for Gaussians.
％ bayesnd - Discrim. function, dichotomy, max aposteriori probability.
％ bhattach - Bhattacharya s upper limit of mean class. error.
％ pbayescln - Plots discriminat function of Bayes classifier.
亞定方程組求解：If serial correlation is found, you may have misspecified your model and
should return to your theory for a better representation of the data generating
process. This possibility is quite likely and should be taken seriously.
The Hopfield model is a distributed model of an associative memory. Neurons are pixels and can take the values of -1 (off) or +1 (on). The network has stored a certain number of pixel patterns. During a retrieval phase, the network is started with some initial configuration and the network dynamics evolves towards the stored pattern which is closest to the initial configuration.
The EM algorithm is short for Expectation-Maximization algorithm. It is based on an iterative optimization of the centers and widths of the kernels. The aim is to optimize the likelihood that the given data points are generated by a mixture of Gaussians. The numbers next to the Gaussians give the relative importance (amplitude) of each component.
Memtest86 is thorough, stand alone memory test for Intel/AMD x86 architecture
systems. BIOS based memory tests are only a quick check and often miss
failures that are detected by Memtest86.
基于simulink的uwb仿真
uwb.mdl: UWB model - open this to begin.
uwb_lib.mdl: Library blocks for UWB model.
uwb_init.m: Initialization called before model is loaded.
uwb_settings: Sets up structure containing system parameters ( uwb in workspace).
uwb_imr.m: Initializes UWB channel impulse response.
uwb_sv_*.m: Four M-files used to generate channel impulse responses (MAT files).
