BMP文件是Windows保存圖像的一種通用文件格式，在數(shù)字圖像處理方面占有重要的地位。BMP文件中保存的圖像數(shù)據(jù)是一種DIB(Device-Independent Bitmap，即設(shè)備無(wú)關(guān)位圖)，DIB是標(biāo)準(zhǔn)的Windows位圖格式，它自帶顏色信息，因此調(diào)色板管理非常容易。有許多文章是關(guān)于講述如何將BMP文件讀取、顯示的，而如何將數(shù)據(jù)保存為BMP文件則不是太多，本文作者通過(guò)一個(gè)實(shí)例講述這一過(guò)程。
上傳時(shí)間： 2014-01-02
上傳用戶(hù)：zmy123
As science advances, novel experiments are becoming more and more complex, requiring a zoo of control devices and electronics executing complicated sequences of steps. Device availability and monetary constrains usually lead to a highly heterogeneous setup with components from several different manufacturers using many different protocols and interfacing mechanisms. This often results in control software being puzzled together to use and provide a multitude of interfacing and control functionality, each using their own calling conventions, data structures, etc. To make matters worse, usually a group of relatively independent programmers is trying to write and maintain the code base. Often this causes extensive duplication of effort as program segments are hard to reuse, since unpredictable changes to the segments by the original authors might compromise other code using these segments.
標(biāo)簽： more experiments requiring advances
上傳時(shí)間： 2013-12-24
上傳用戶(hù)：qilin
The FastICA package is a free (GPL) MATLAB program that implements the fast fixed-point algorithm for independent component analysis and projection pursuit. It features an easy-to-use graphical user interface, and a computationally powerful algorithm.
標(biāo)簽： fixed-point implements algorithm FastICA
上傳時(shí)間： 2014-08-17
上傳用戶(hù)：yy541071797
貪吃蛇*要點(diǎn)分析： *1）數(shù)據(jù)結(jié)構(gòu)：matrix[][]用來(lái)存儲(chǔ)地圖上面的信息，如果什么也沒(méi)有設(shè)置為false， * 如果有食物或蛇，設(shè)置為true；nodeArray，一個(gè)LinkedList，用來(lái)保存蛇的每 * 一節(jié)；food用來(lái)保存食物的位置；而Node類(lèi)是保存每個(gè)位置的信息。 *2）重要函數(shù)： * changeDirection(int newDirection) ，用來(lái)改變蛇前進(jìn)的方向，而且只是 * 保存頭部的前進(jìn)方向，因?yàn)槠渌那斑M(jìn)方向已經(jīng)用位置來(lái)指明了。 其中newDirection * 必須和原來(lái)的direction不是相反方向，所以相反方向的值用了同樣的奇偶性。在測(cè)試 * 的時(shí)候使用了direction％2!=newDirection％2 進(jìn)行判斷。 * moveOn(),用來(lái)更新蛇的位置，對(duì)于當(dāng)前方向，把頭部位置進(jìn)行相應(yīng)改變。如果越界， * 結(jié)束；否則，檢測(cè)是否遇到食物（加頭部）或身體（結(jié)束）；如果什么都沒(méi)有，加上頭部， * 去掉尾部。由于用了LinkedList數(shù)據(jù)結(jié)構(gòu)，省去了相當(dāng)多的麻煩。
標(biāo)簽： matrix 貪吃蛇 分 數(shù)據(jù)結(jié)構(gòu)
上傳時(shí)間： 2014-06-14
上傳用戶(hù)：cjf0304
ucos II對(duì)xilinx的fx系列的power pc 405的板級(jí)支持包，包括port定義和板載控制，需另外下載cpu independent的ucos
標(biāo)簽： xilinx power ucos 405
上傳時(shí)間： 2016-06-29
上傳用戶(hù)：鳳臨西北
一個(gè)iscsi實(shí)現(xiàn)源碼，值得參考。It is a high-performance, transport independent, multi-platform implementation of RFC3720 iSCSI.
上傳時(shí)間： 2016-06-30
上傳用戶(hù)：it男一枚
The IWDG project is a simple program for the STM32F103RBT6 using Keil MCBSTM32 Evaluation Board and demonstrating the use of the Independent Watchdog.
標(biāo)簽： Evaluation project program MCBSTM
上傳時(shí)間： 2014-12-06
上傳用戶(hù)：362279997
This directory includes matlab interface of the curvelet transform using usfft. Basic functions fdct_usfft.m -- forward curvelet transform afdct_usfft.m -- adjoint curvelet transform ifdct_usfft.m -- inverse curvelet transform fdct_usfft_param.m -- returns the location of each curvelet in phase-space Useful tools fdct_usfft_dispcoef.m -- returns a matrix contains all curvelet coefficients fdct_usfft_pos2idx.m -- for fixed scale and fixed direction, returns the curvelet which is closest to a certain point on the image Demos fdct_usfft_demo_basic.m -- display the shape of a curvelet fdct_usfft_demo_recon.m -- partial reconstruction using curvelet fdct_usfft_demo_disp.m -- display all the curvelet coefficients of an image fdct_usfft_demo_denoise.m -- image denoising using curvelet
標(biāo)簽： directory functions interface transform
上傳時(shí)間： 2016-08-31
上傳用戶(hù)：cooran
The tca package is a Matlab program that implements the tree-dependent component analysis (TCA) algorithms that extends the independent component analysis (ICA), where instead of looking for a linear transform that makes the data components independent, we are looking for components that can be best fitted in a tree structured graphical model. The TCA model can be applied in any situation where the data can be assumed to have been transformed by an unknown linear transformation.
標(biāo)簽： tree-dependent implements component analysis
上傳時(shí)間： 2016-09-17
上傳用戶(hù)：cazjing
he algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction.
標(biāo)簽： equivalent likelihood algorithm Sejnowski
上傳時(shí)間： 2016-09-17
上傳用戶(hù)：Altman
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