代码搜索：equalizer
找到约 546 项符合「equalizer」的源代码
代码结果 546
www.eeworm.com/read/192078/8408372
m lms5.m
%LMS5 Problem 2.1
%
% 'ifile.mat' - input file containing:
% K - iterations
% H - FIR channel
% Neq - equalizer order
% sigman - standard deviation of noise at channel ou
www.eeworm.com/read/175483/9545404
def init.def
; Init.def : Declares the module parameters.
LIBRARY "Init.DLL"
EXPORTS
ExternalInit @1
SaveOptions @2
LoadOptions @3
Configure @4
Equalizer @5
www.eeworm.com/read/458161/7303066
m roi.m
%roi.m
%ring of initializations
%crj jr, revised 4/26/03
clear all
close all
%FIR channel impulse response vector
rawtp=[1 0.5 0.3].';
%rawtp=[1 1 1 0.2 -0.4 2 -1].';
%rawtp=[-0.2 .1
www.eeworm.com/read/458161/7303067
m fsedez.m
%fsedez.m
%fse design
%crj jr, 3/03
clear
%channel specification
%need number of coefficients to be a factor of 4
d0=[1,0.1,-0.1,-0.5,-0.1,0.05,-0.01,0.01]';
d1=[1,0.8,1.025,1.2975,0.4646,
www.eeworm.com/read/458161/7303072
m oae.m
%oae.m
%optimal and adaptive equalization
%crj jr, revised 6/29/01
clear all
close all
%FIR channel impulse response vector
rawtp=[1 0.5 0.3].';
%rawtp=[1 1 1 0.2 -0.4 2 -1].';
%rawtp
www.eeworm.com/read/145776/12703176
m lms5.m
%LMS5 Problem 2.1
%
% 'ifile.mat' - input file containing:
% K - iterations
% H - FIR channel
% Neq - equalizer order
% sigman - standard deviation of noise at channel ou
www.eeworm.com/read/330105/12916175
m eqber_adaptive.m
%% EQBER_ADAPTIVE - Simulation of linear and DFE equalizers
% This script runs a simulation loop for either a linear or a DFE equalizer. It
% uses the RLS algorithm to initially set the weights, then
www.eeworm.com/read/328638/13009733
h equalize.h
struct equalizer
{ equalizer(float d) { delta = d; reset(); }
void reset();
void insert(complex); /* put new raw value into equalizer */
complex get(); /* get equa
www.eeworm.com/read/328637/13009792
h equalize.h
struct equalizer
{ equalizer(float d) { delta = d; reset(); }
void reset();
void insert(complex); /* put new raw value into equalizer */
complex get(); /* get equa
www.eeworm.com/read/322647/13372337
m adapteq.m
%
% Basic adaptive equalization using LMS and RLS.
%
% By Andreas Jakobsson, 040306.
clear; close all;
% Initialize parameters.
NoTrials = 200; % Number of independent trials.
var_v