realize overlapped-add method ％[y]=overlpadd(x,h,Nfft) ％y:output sequence ％x:input sequence ％h:filter impulse response sequence ％Nfft:points of each DFT operation ％重疊相加法實現分段卷積
標簽： sequence overlapped-add overlpadd realize
上傳時間： 2015-07-22
上傳用戶：as275944189
％realize overlapped-save method ％y:output sequence ％x:input seqence ％h:filter impulse response sequence ％N:length of each segment ％重疊保留法實現分段卷積
標簽： overlapped-save sequence response realize
上傳時間： 2015-07-22
上傳用戶：chenbhdt
工程計算MATLAB code to calculate the reorthogonalized sine tapers input: N = the length of the time series data to be tapered p = the number of tapers requested I = the gap structure a vector of length N I(t) = 1 if there is data at time t, t=1, ..., N I(t) = 0 if there is a gap at time t output: X = N-by-p vector of the reorthogonalized sine taper
標簽： the reorthogonalized calculate MATLAB
上傳時間： 2013-12-17
上傳用戶：wangyi39
EXAMPLE SOURCE CODE FOR IMPLIB FILTER This filter accepts input through the standard input stream, convertsit and outputs it to the standard output am. The streams are linkedthrough pipes, such that the input stream is the output from the import librarian being invoked, and the output stream is connected to the message window of the IDE, ie.
標簽： input standard EXAMPLE accepts
上傳時間： 2014-11-18
上傳用戶：siguazgb
EXAMPLE SOURCE CODE FOR TASM FILTER his filter accepts input through the standard input stream, converts it and outputs it to the standard output stream. The streams are linked through pipes, such that the input stream is the output from the assembler being invoked, and the output stream is connected to the message window of the IDE, ie.
標簽： input standard EXAMPLE accepts
上傳時間： 2014-01-13
上傳用戶：小碼農lz
matlab.soft.base介紹了matlab的軟件基礎和功能使用
上傳時間： 2013-12-21
上傳用戶：lizhen9880
support vector classification machine ％ soft margin ％ uses "kernel.m" ％ ％ xtrain: (Ltrain,N) with Ltrain: number of points N: dimension ％ ytrain: (Ltrain,1) containing class labels (-1 or +1) ％ xrun: (Lrun,N) with Lrun: number of points N: dimension ％ atrain: alpha coefficients (from svcm_train on xtrain and ytrain) ％ btrain: offest coefficient (from svcm_train on xtrain and ytrain) ％ ％ ypred: predicted y (Lrun,1) containing class labels (-1 or +1) ％ margin: (signed) separation from the separating hyperplane (Lrun,1
標簽： classification support machine Ltrain
上傳時間： 2015-09-04
上傳用戶：問題問題
請下載方正Apabi Reader進行閱讀。http://www.skycn.com/soft/5531.html
上傳時間： 2015-09-05
上傳用戶：czl10052678
The true-multilingual Virtual Keyboard with input translation support
標簽： true-multilingual translation Keyboard Virtual
上傳時間： 2015-09-06
上傳用戶：gundamwzc
The standard optimum Kalman filter demands complete knowledge of the system parameters, the input forcing functions, and the noise statistics. Several adaptive methods have already been devised to obtain the unknown information using the measurements and the filter residuals.
標簽： parameters knowledge the standard
上傳時間： 2013-12-17
上傳用戶：541657925
