This code is to estimate the parameter of model of Mixture Gauss which is popular model used in pattern classification .
JAVA 寫的估計(jì)復(fù)合高斯模型中的參數(shù)
LVQ學(xué)習(xí)矢量化算法源程序
This directory contains code implementing the Learning vector quantization
network. Source code may be found in LVQ.CPP. Sample training data is found
in LVQ1.PAT. Sample test data is found in LVQTEST1.TST and LVQTEST2.TST. The
LVQ program accepts input consisting of vectors and calculates the LVQ
network weights. If a test set is specified, the winning neuron (class) for
each neuron is identified and the Euclidean distance between the pattern and
each neuron is reported. Output is directed to the screen.
VHDL 關(guān)于2DFFT設(shè)計(jì)程序
u scinode1 ∼ scinode9.vhd: Every SCI node RTL vhdl code. The details can be
seen in the following section.
u 2dfft.vhd: The top module includes these scinodes and form a 3x3 SCI Torus
network, and it support these sub-modules scinode1∼ scinode9 reset and clk
and global_cnt signals to synchronous the sub-modules to simplify the overall
design.
u proj2.wfc: VSS simulation result that is the same as the ModelSim simulation
result.
u Pro2_2.wfc: VSS simulation result of another test pattern can’t cause overflow
situation.
This Program Is Designed To Simulate A Spatial Antenna Array
System Working On The MUSIC Algorithm For The Angle Of Arrival Estimation
And Null Steering Algorithm For The Weights Estimation To The Required
Output Radiation Pattern .
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.
