!逐步回歸分析程序： ! M：輸入變量，M=N+1，其中N為自變量的個(gè)數(shù)；M包括的因變量個(gè)數(shù) ! K：輸入變量，觀測(cè)點(diǎn)數(shù)； ! F1：引入因子時(shí)顯著性的F-分布值； ! F2：剔除因子時(shí)顯著性的F-分布值； ! XX：存放自變量和因變量的平均值； ! B：存放回歸系數(shù)； ! V：存放偏回歸平方和和殘差平方和Q； ! S：存放回歸系數(shù)的標(biāo)準(zhǔn)偏差和估計(jì)的標(biāo)準(zhǔn)偏差； ! C：存放復(fù)相關(guān)系數(shù)； ! F：存放F-檢驗(yàn)值；
上傳時(shí)間： 2013-12-12
上傳用戶：zaizaibang
This program is a new way to estimate the coherence function. It s based on the MVDR and is much more reliable than the classical Welch s method implemented in MATLAB. There are 2 programs: the main program called coherence_MVDR.m and and an example, called illustrate.m, that calls the main function to show how it works. There also included 2 papers that we published on this algorithm.
標(biāo)簽： coherence the estimate function
上傳時(shí)間： 2016-07-03
上傳用戶：athjac
經(jīng)典的模糊神經(jīng)網(wǎng)路m程序，采用T-S模型，自適應(yīng)反傳算法
標(biāo)簽： 模糊神經(jīng) 網(wǎng)路 程序
上傳時(shí)間： 2013-12-24
上傳用戶：xcy122677
1、以不同的視角觀察球面 和圓柱面 所圍區(qū)域。2、畫出s(t)=cos(2/3πf0t)的曲線及其付氏變換的曲線.設(shè):f0=1KHz,時(shí)域分辨率 dt=0.01ms, 采樣點(diǎn)數(shù) N=2k, k>10.（均為M文件）
上傳時(shí)間： 2014-11-04
上傳用戶：wangzhen1990
This a version of Anders Melander s TGIFImage ported to Delphi 7. It supports animated GIF files in Delphi 7. Note: This Delphi 7 version should also work older Delphi versions (not tested much). WARNING: Use it at your own risk. I m posting it with permission from the author Anders Melander.
標(biāo)簽： TGIFImage Melander animated supports
上傳時(shí)間： 2016-08-19
上傳用戶：yangbo69
將源碼保存為.m文件，程序生成logR/S，在matlab中循環(huán)調(diào)用這個(gè)文件，生成多個(gè)不同時(shí)間尺度的logR/S，然后求出logR/S與logN的直線斜率即是Hurst。
標(biāo)簽： 源碼
上傳時(shí)間： 2017-03-04
上傳用戶：invtnewer
將魔王的語(yǔ)言抽象為人類的語(yǔ)言：魔王語(yǔ)言由以下兩種規(guī)則由人的語(yǔ)言逐步抽象上去的：α-〉β1β2β3…βm ；θδ1δ2…-〉θδnθδn-1…θδ1 設(shè)大寫字母表示魔王的語(yǔ)言，小寫字母表示人的語(yǔ)言B-〉tAdA，A-〉sae，eg：B(ehnxgz)B解釋為tsaedsaeezegexenehetsaedsae對(duì)應(yīng)的話是：“天上一只鵝地上一只鵝鵝追鵝趕鵝下鵝蛋鵝恨鵝天上一只鵝地上一只鵝”。(t-天d-地s-上a-一只e-鵝z-追g-趕x-下n-蛋h-恨)
上傳時(shí)間： 2013-12-19
上傳用戶：aix008
MATSNL is a package of MATLAB M-files for computing wireless sensor node lifetime/power budget and solving optimal node architecture choice problems. It is intended as an analysis and simulation tool for researchers and educators that are easy to use and modify. MATSNL is designed to give the rough power/ lifetime predictions based on node and application specifications while giving useful insight on platform design for the large node lifetime by providing side-by-side comparison across various platforms. The MATSNL code and manual can be found at the bottom of this page. A related list of publications describing the models used in MATSNL is posted on the ENALAB part of the 2 project at http://www.eng.yale.edu/enalab/aspire.htm
標(biāo)簽： computing lifetime wireless M-files
上傳時(shí)間： 2014-01-01
上傳用戶：lnnn30
這個(gè)m代碼包含了一系列的小波變換的實(shí)現(xiàn)函數(shù)，有Daubechies,symlets,splines,S+P小波, JPEG2000小波變換等. 可以進(jìn)行1D或者二維小波變換。
上傳時(shí)間： 2013-12-16
上傳用戶：aig85
Intel® 64 and IA-32 Architectures Software Developer s Manual (Volume 2A, Instruction Set Reference, A-M)
標(biāo)簽： Architectures Instruction Developer Software
上傳時(shí)間： 2017-07-14
上傳用戶：qwe1234
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