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Cortex-M 的代码
q.m
% File: q.m
% Software given here is to accompany the textbook: W.H. Tranter,
% K.S. Shanmugan, T.S. Rappaport, and K.S. Kosbar, Principles of
% Communication Systems Simulation with Wireless App
ma.m
function s=ma(y,wind)
%MA MA(Y,WIND) is the moving average smoother of Y with
% window width WIND. Default for WIND is 5.
y = y(:);
if nargin < 2, wind = 5; end;
[m n] = size(y);
if m < win
demo_piecewise_cubic_polynomial.m
function demo_Piecewise_cubic_polynomial
%
% In this problem, the TwIST algorithm introduced in
%
% J. Bioucas-Dias and M. Figueiredo, "A New TwIST: Two-Step
% Iterative Shrinkage/Thresholding Al
e0804.m
clear;
t=-2*pi:0.01:2*pi;y=sin(t);x=cos(t);
plot3(t,x,y)
title('This is the output figure of M-book ')
xlabel('t');ylabel('y');zlabel('z');
dct_lms_c.m
function [W, e, Lambda] = dct_lms_C(u, d, M, alpha, beta, gamma, verbose)
% function [W, e, Lambda] = dct_lms_C(u, d, M, alpha, beta, gamma, verbose)
%
% dct_lms_C.m - use DCT-LMS algorithm with recur
dblquad2.m
function I=dblquad2(f_name,a,b,c_lo,d_hi,m,n)
%非矩形区域二重积分
%I=dblquad2('fname',a,b,'c_low','d_up',m,n)
% 其中'fname'为被积函数f(x,y)字符串,
% 'c_low'和'd_up'是y的上下限函数c(x),d(x);
% a,b分别为x的上下限; m,n分别为x和y方向的等分
quad2.m
function I=quad2(f_name,a,b,c_lo,d_hi,m,n)
%非矩形区域二重积分
%I=dblquad2('fname',a,b,'c_low','d_up',m,n)
% 其中'fname'为被积函数f(x,y)字符串,
% 'c_low'和'd_up'是y的上下限函数c(x),d(x);
% a,b分别为x的上下限; m,n分别为x和y方向的等分数(确
ex0518.m
function y=Ex0518(m)
% EX0518 先定维再创建矩阵
m=m-1;
y=zeros(m);
for n=1:m-1
a=1:m-n;
y(n,n+1:m)=a;
end
y
perform_image_similitude.m
function M1 = perform_image_similitude(M,u,u1,v,v1)
% perform_image_similitude
%
% M1 = perform_image_similitude(M,u,u1,v,v1)
%
% Compute the affine similitude that map u to u1
% and v to v1
rescale.m
function y = rescale(x,a,b)
% rescale - rescale data in [a,b]
%
% y = rescale(x,a,b);
%
% Copyright (c) 2004 Gabriel Peyr?
if nargin