代码搜索：Matrices
找到约 3,616 项符合「Matrices」的源代码
代码结果 3,616
www.eeworm.com/read/436945/7758449
m prueba_qda.m
%function prueba_QDA
clc;close all;clear all;
%generate artificial data with 4 classes and 3 variates
r = randn(3, 3, 4);
for i = 1:4
% generate random covariance matrices for each class
C
www.eeworm.com/read/197980/7959165
m correlation.m
function [M] = correlation(X,NFFT,FS,win,OVERLAP,N)
%
% function [M] = correlation(X,FS,NFFT,OVERLAP,N)
% making correlation matrices for each frequency
% X must has 2 column,
%
% Shiro Ikeda 14,July
www.eeworm.com/read/331444/12827985
c pointop.c
/*
RES = pointOp(IM, LUT, ORIGIN, INCREMENT, WARNINGS)
>>> See pointOp.m for documentation
www.eeworm.com/read/330486/12885860
h xform.h
#ifndef XFORM_H
#define XFORM_H
/*
Szymon Rusinkiewicz
Princeton University
XForm.h
Affine transforms (represented internally as column-major 4x4 matrices)
Supports the following operations:
xform
www.eeworm.com/read/142788/12920284
h matrix_ops.h
// Defines all the matrix operations.
#ifndef __MATRIX_OPS_H__
#define __MATRIX_OPS_H__
// Matrices are indexed by (y,x), so a translation matrix looks like:
// 1 0 0 tx (tx is in m[0][
www.eeworm.com/read/320240/13429812
m norm2huff.m
function [zipped,info] = norm2huff(vector)
%NORM2HUFF Huffman codification (encoder)
% For vectors, NORM2HUFF(X) returns a Huffman coded version of the input vector.
% For matrices, X(:) is used
www.eeworm.com/read/314681/13561798
m contents.m
Spatial Statistics Toolbox 2.0
Kelley Pace, www.spatial-statistics.com, 1/15/03
Two dimensional weight matrices
fdelw2 - spatial contiguity weight matrix
fneighbors2 - nearest neighbors weig
www.eeworm.com/read/309349/13673625
html mod2sparse.html
Sparse Modulo-2 Matrix Routines
Sparse Modulo-2 Matrix Routines
This module implements operations on matrices in which the elements
are a
www.eeworm.com/read/306993/13733554
cfg q_matrix_jvt.cfg
# This an example configuration file for initializing the quantization matrix.
# Altogether 6 matrices for 4x4 blocks and 2 matrix for 8x8 blocks.
# The values range from 1 to 255.
# If first value of
www.eeworm.com/read/305575/13765429
m smartsmooth.m
function[y]=smartsmooth(x,f)
%SMARTSMOOTH Fast light smoothing for large matrices
%
% SMARTSMOOTH(X) for matrix X returns X smoothed by a 3x3 boxcar. X
% is zero-padded at the edges before smoot