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function result = mexConv2PreserveEnergy(data,filter) % mexConv2PreserveEnergy - 2d convolution that avoids bleeding energy over the edge (mex file). % % result = mexConv2PreserveEnergy(data,filter) %

/*! @file mexConv2PreserveEnergy.cpp \verbatim mexConv2PreserveEnergy - 2d convolution that avoids bleeding energy over the edge. result = mexConv2PreserveEnergy(data,filter) Convolves data with

function D = RCE(train_features, train_targets, lambda_m, region) % Classify using the reduced coulomb energy algorithm % Inputs: % features - Train features % targets - Train targets % lambda_m - M

function [gn,bn,en,Nuse,btot] = waterfill(H,Ex_bar,Ntot,gap,Noise_var) % Pn is the channel pulse response % Ex_bar is the normalized energy % Ntot is the total number of subchannels % gap is the

function [gn,bn,en,Nuse,btot] = waterfill(H,Ex_bar,Ntot,gap,Noise_var) % Pn is the channel pulse response % Ex_bar is the normalized energy % Ntot is the total number of subchannels % gap is the

% BER performance of RS & Golay coding and BPSK modulation system. % AWGN channel is used in this simulation. E=1; % energy of per symbol EbN0db_sim=0:6; % signal to noise ratio in dB of

% % Callback function for Save button for Time analysis % Author : D. G. Childers % Date : 3-27-97 % val=get(time_save_h,'Value'); if val == 1 %Start Energy Save Routine

// ENERGY211/CME211 // // matrix.cpp - Implementation file for Project 1 // #include "matrix.h" // Must include corresponding header file #include "vector.h" #include // Need this to use

// ENERGY211/CME211 // // matrix.cpp - Implementation file for Project 2 // #include "matrix.h" // Must include corresponding header file #include "vector.h" #include // Need this to use

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