tcss

[model] = SVMTRAIN(X, Y, C, kernelFunction, tol, max_passes) trains an SVM classifier and returns trained model. X is the matrix of training examples. Each row is a training example, and the jth column holds the jth feature. Y is a column matrix containing 1 for positive examples and 0 for negative examples. C is the standard SVM regularization parameter. tol is a tolerance value used for determining equality of floating point numbers. max_passes controls the number of iterations over the dataset (without changes to alpha) before the algorithm quits.

对小波X={0,1,...,10}进行一次分解与重构(Of the wavelet X = (0,1 ,..., 10) for a decomposition and reconstruction)

北工大matlab电子课件，陆续还有好多，很全的，希望大家下个痛快(err)

-LTE_link_levek simulation

LMS identification volterra order 3,degree 2

Red green blue color detection in 8x8 grid

this code is assemble rectifire matlab code

Differential PSK (DPSK) 􀂄 Inexpensive 􀂄 Quadrature Phase Shift Keying (QPSK) 􀂄 Twice as spectrally efficient than BPSK 􀂄 Offset QPSK (OQPSK) 􀂄 reduce envelope variation 􀂄 π/4 QPSK 􀂄 reduces envelope variations to a lesser extent than OQPSK can be noncoherently detected

important algorith ocr for recognition for car template important algorith ocr for recognition for car template important algorith ocr for recognition for car template

water-filling algorithm