代码搜索：Inversion
找到约 626 项符合「Inversion」的源代码
代码结果 626
www.eeworm.com/read/455463/1613937
m toinvf.m
function winv=toinvf(wavelet,stab,n)
% TOINVF FFT based waveform inversion with low-pass zero-phase filter
% winv=toinvf(wavelet,stab,n)
% winv=toinvf(wavelet,stab)
% winv= toinvf(wavelet)
%
% T
www.eeworm.com/read/278121/4147758
vhd _primary.vhd
library verilog;
use verilog.vl_types.all;
entity sld_signaltap is
generic(
SLD_CURRENT_RESOURCE_WIDTH: integer := 0;
SLD_INVERSION_MASK: string := "0";
SLD_POWER_UP_TRIGG
www.eeworm.com/read/277562/4154420
m echo_diagnostic.m
% Attempts to diagnose AEC problems from recorded samples
%
% out = echo_diagnostic(rec_file, play_file, out_file, tail_length)
%
% Computes the full matrix inversion to cancel echo from the
% record
www.eeworm.com/read/427042/1981914
m echo_diagnostic.m
% Attempts to diagnose AEC problems from recorded samples
%
% out = echo_diagnostic(rec_file, play_file, out_file, tail_length)
%
% Computes the full matrix inversion to cancel echo from the
% record
www.eeworm.com/read/194440/8192903
m toinvf.m
function winv=toinvf(wavelet,stab,n)
% TOINVF FFT based waveform inversion with low-pass zero-phase filter
% winv=toinvf(wavelet,stab,n)
% winv=toinvf(wavelet,stab)
% winv= toinvf(wavelet)
%
% T
www.eeworm.com/read/237293/13969745
output
---- FATOMO Ver.08/11/99 ---
start at Fri Aug 20 09:49:02 1999
FATOMO performs an inversion of Vp-velocities
using fat rays. Up to now earthquake relocation
has to be done externa
www.eeworm.com/read/235612/14060045
m toinvf.m
function winv=toinvf(wavelet,stab,n)
% TOINVF FFT based waveform inversion with low-pass zero-phase filter
% winv=toinvf(wavelet,stab,n)
% winv=toinvf(wavelet,stab)
% winv= toinvf(wavelet)
%
% T
www.eeworm.com/read/376085/9332678
sp fig33_18.sp
* Figure 33.18 CMOS: Mixed-Signal Circuit Design *
* Using the EKV model *
* Comparison between strong, moderate, and weak inversion *
* using an R-2R (W-2W) based current mirror (see text.) *
*
www.eeworm.com/read/192667/8367384
m leaveoneout_lssvm.m
function [costs, z, yh, model] = leaveoneout_lssvm(model,gams, estfct)
% Fast leave-one-out cross-validation for the LS-SVM based on one full matrix inversion
%
% >> cost = leaveoneout_lssvm({X,Y,typ
www.eeworm.com/read/190459/8443073
m leaveoneout_lssvm.m
function [costs, z, yh, model] = leaveoneout_lssvm(model,gams, estfct)
% Fast leave-one-out cross-validation for the LS-SVM based on one full matrix inversion
%
% >> cost = leaveoneout_lssvm({X,Y,typ