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Algorithm 的代码
pso(matlab).txt
function [pso F] = pso_2D()
% FUNCTION PSO --------USE Particle Swarm Optimization Algorithm
%global present;
% close all;
pop_size = 10; % pop_size 销竤
somtrain.m
function net = somtrain(net, options, x)
%SOMTRAIN Kohonen training algorithm for SOM.
%
% Description
% NET = SOMTRAIN{NET, OPTIONS, X) uses Kohonen's algorithm to train a
% SOM. Both on-line and ba
bitload.m
function [bits_alloc,energy_alloc] = BitLoad(subchan_gains,total_bits,num_subc,gap,noise,M)
% Bit Loading Algorithm
% ---------------------
%
% Inputs :
% subchan_gains : SubCarrier Gain
bitload.asv
function [bits_alloc,energy_alloc,SNR] = BitLoad(subchan_gains,total_bits,num_subc,gap,noise,M)
% Bit Loading Algorithm
% ---------------------
%
% Inputs :
% subchan_gains : SubCarrier
chow_algo.m
% Chow's Algorithm
% ----------------
% This is based on the paper by Chow et al titled
%
% A Practical Discrete Multitone Transceiver Loading Algorithm
% for Data Transmission over Spectrally Shaped
lms_demo.m
% LMS algorithm demo
clear all
close all
hold off
%channel system order
sysorder = 5 ;
% Number of system points
N=2000;
inp = randn(N,1);
n = randn(N,1);
[b,a] = butter(2,0.25);
Gz = tf(b,a,-1);
%Th
lms.m
function [h,y] = lms(x,d,delta,N)
% Least-Mean-Square(LMS) Algorithm for Coefficient Adjustment
% h = estimated FIR filter
% y = output array y(n)
% x = input array x(n)
% d = de
lms_demo.asv
% LMS algorithm demo
clear all
close all
hold off
%channel system order
sysorder = 5 ;
% Number of system points
N=2000;
inp = randn(N,1);
n = randn(N,1);
[b,a] = butter(2,0.25);
Gz = tf(b,a,-1);
%Th
opf_slvr.m
function code = opf_slvr(alg)
%OPF_SLVR Which OPF solver is used by alg.
% code = opf_slvr(alg) returns a solver code given an algorithm code.
% The codes are:
% 0 - 'constr' from Optimiz
readme
This is a README file for
Iterative Closest Reciprocal Point algorithm package
What is ICRP?
ICRP is a new algorithm used for 3D point sets matching/registration.
The input to this algorithm is a