代码搜索:Sampling

找到约 3,969 项符合「Sampling」的源代码

代码结果 3,969
www.eeworm.com/read/437045/7755932

m peakdetection.m

function peaks = PeakDetection(x,ff) % % peaks = PeakDetection(x,f), % R-peak detector % % inputs: % x: vector of input data % f: approximate ECG beat-rate in Hertz, normalized by the sampling
www.eeworm.com/read/199440/7853068

m fwdprop_backsample.m

function samples = fwdprop_backsample(init_state_distrib, transmat, obslik, nsamples) % forwards propagation, backwards sampling % % input % init_state_distrib(q) % transmat(q, q') % obslik(q,
www.eeworm.com/read/199440/7853141

m~ fwdprop_backsample.m~

function samples = fwdprop_backsample(init_state_distrib, transmat, obslik, nsamples) % forwards propagation, backwards sampling % % input % init_state_distrib(q) % transmat(q, q') % obslik(q,
www.eeworm.com/read/299239/7870675

h rtdspc.h

/* real-time DSP C code include file */ /* common sampling rate for sound cards on IBM/PC */ #define SAMPLE_RATE 11025 #define PI 3.14159265358979323846 /* COMPLEX STRUCTURE */ typedef st
www.eeworm.com/read/197649/7982879

m hfarm.m

function [w,a] = hfarm(data,dt,fa) % % [f,a]=hfarm(data,dt,factor): % Hilbert frequency and amplitude of data(n,k) with room window. % data: input data. % dt: sampling perio
www.eeworm.com/read/143706/12849986

m demmlp1.m

%DEMMLP1 Demonstrate simple regression using a multi-layer perceptron % % Description % The problem consists of one input variable X and one target variable % T with data generated by sampling X at eq
www.eeworm.com/read/143706/12850048

m preprocessing.m

function [X, Y, num_data, num_feature] = preprocessing(D) global preprocess; % sparse data % if (preprocess.Sparse == 1) % D = spconvert(D); % end % Sampling if ((preprocess.DataSampl
www.eeworm.com/read/330846/12865439

txt extr.m.txt

function [indmin, indmax, indzer] = extr(x,t); % [indmin, indmax, indzer] = EXTR(x,t) finds extrema and zero-crossings % % inputs : - x : analyzed signal % - t (optional) : sampling times, d
www.eeworm.com/read/244381/12869707

m dcl_pend.m

% Simulation of the sampled-data closed-loop system % sim_pend % % discretization interval Ts = input ('Enter sampling period Ts = '); KD = samhld(K,Ts); % % response to the reference input t
www.eeworm.com/read/243168/12957312

c aliasing.c

//Aliasing.c illustration of downsampling, aliasing, upsampling #include "lp33.cof" //lowpass at 1.8 kHz short flag = 0; //toggles for 2x down-sampling float indly[