代码搜索：Problem
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www.eeworm.com/read/430037/1942791
m pr3_25.m
%Problem3.25
%Simulates antijamming features of spread spectrum signal (no band elimination used) against narrow
%band jammer and compares to the ones of plain signals;
clear all; close all;
t=[
www.eeworm.com/read/428075/1962854
c panic.c
/*
* linux/kernel/panic.c
*
* (C) 1991 Linus Torvalds
*/
/*
* This function is used through-out the kernel (includeinh mm and fs)
* to indicate a major problem.
*/
#define PANIC
#include
www.eeworm.com/read/416031/2130071
changes
Changes from version 1.0.0 to 1.0.1
- Added copyright lines in all files
- Added README file
- Added Changes file -- :)
- Added shortprint/ directory (we forgot about it)
- Fixed problem with sc
www.eeworm.com/read/414420/2150348
readme
Hi,
so this is the port to the Embedded Planet RPX Super Board.
ATTENTION
This code is only tested on the AY-Version, which is an early release with some
hardware bugs. The main problem is that this
www.eeworm.com/read/409921/2219623
c hypot.c
/* Copyright (C) 1995 DJ Delorie, see COPYING.DJ for details */
/*
* hypot() function for DJGPP.
*
* hypot() computes sqrt(x^2 + y^2). The problem with the obvious
* naive implementation is
www.eeworm.com/read/408818/2245959
readme
Hi,
so this is the port to the Embedded Planet RPX Super Board.
ATTENTION
This code is only tested on the AY-Version, which is an early release with some
hardware bugs. The main problem is that this
www.eeworm.com/read/396844/2406613
m demhmc1.m
%DEMHMC1 Demonstrate Hybrid Monte Carlo sampling on mixture of two Gaussians.
%
% Description
% The problem consists of generating data from a mixture of two
% Gaussians in two dimensions using a hybr
www.eeworm.com/read/396844/2406615
m demkmn1.m
%DEMKMEAN Demonstrate simple clustering model trained with K-means.
%
% Description
% The problem consists of data in a two-dimensional space. The data is
% drawn from three spherical Gaussian distri
www.eeworm.com/read/396844/2406659
m demknn1.m
%DEMKNN1 Demonstrate nearest neighbour classifier.
%
% Description
% The problem consists of data in a two-dimensional space. The data is
% drawn from three spherical Gaussian distributions with prio
www.eeworm.com/read/396844/2406736
m demmlp2.m
%DEMMLP2 Demonstrate simple classification using a multi-layer perceptron
%
% Description
% The problem consists of input data in two dimensions drawn from a
% mixture of three Gaussians: two of which