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serena dsouza


Last seen: mehr als 2 Jahre vor Aktiv seit 2017

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i want to use classification learner application from mathwork for my classification task.For the data i am having the array of size of 14956*37. It has 37 features.but i don't understand how to select responses and predictors in it.can anyone help?
Healthy_physionet_LDTP_hist_FeatSelect=Healthy_physionet_LDTP_hist(:,I); Unhealthy_physionet_LDTP_hist_FeatSelect=Unhealthy_phy...

mehr als 3 Jahre vor | 0 Antworten | 0

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How to resolve the "Index exceeds matrix dimensions" error ?
Hi, I am getting same error in this following loop but on selected samples , even though they are of same length, Only Some of t...

mehr als 3 Jahre vor | 0

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How to save a figure through each run of a for loop?
Hi, I am having same type of code but i want to save figures from two for loop.how can I do this.I have tried by following comma...

mehr als 3 Jahre vor | 1

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i have created samples of audio signal and want to generate separate spectrogram of each sample which should be automatically save to a folder . how can I do it?
nfft = 1024; hop = 256; [y,fs] = audioread('signal.wav'); [s,f,t,p] = spectrogram(y,hanning(nfft),nfft-hop,nfft,fs);

mehr als 3 Jahre vor | 0 Antworten | 0

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I want to plot spectogram for my audio signal. What steps i have to follow for that.
(s, fs) =audioread('a01.wav')

etwa 4 Jahre vor | 1 Antwort | 0

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can you help me to vectorize this for loop
final_y = gpuArray(fft_frame.*y2.*y3.*y4); final_y(1,:) = []; % eliminating first energy r...

etwa 6 Jahre vor | 0 Antworten | 0

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how to vectorize this for loop
[mrows,ncols] = size(spec); if (mrows==1) mrows=ncols; ncols=1; spec = spec(:); end % ---- edit out ...

etwa 6 Jahre vor | 0 Antworten | 0

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how to vectorize .
for i=1:no_frame temp = downsample(fft_frame(:,i),2); % Down sampling by 2 y2(:,i) = [temp; zero...

etwa 6 Jahre vor | 1 Antwort | 0

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How to vectorize this for loop
for i = 1:no_frame frame(:,i) = y(start:stop).*wind_sam; start = start+h_size; stop = start+w_s...

etwa 6 Jahre vor | 3 Antworten | 0

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can u please help me to write next code for tonic extraction by highest peak method.
%% Pitch detection by AUTOCORREALATION maxlag = fs/50; r = xcorr(w, maxlag, 'coeff'); d=(-maxlag:maxlag)/fs; subplot(...

mehr als 6 Jahre vor | 0 Antworten | 0

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i have written code for pitch detection by harmonic product spectrum ,is this correct and if not can u please correct it.thanks in advance.
[s,fs]=audioread('sample.wav') fdatool l=length(s); t=(0:1:l-1)/fs; %% Framing f_d=0.1; f_s=floor(l*f_d); %%frame ...

mehr als 6 Jahre vor | 0 Antworten | 0

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how to vectorize this for loop
tic; [s,fs]=audioread('sample.wav'); fdatool l=length(s); figure('name','speechsignal'); subplot(3,3,1); plot (s); ti...

mehr als 6 Jahre vor | 1 Antwort | 0

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how to vectorize these for loop?
clc; clear all; close all; tic; [s,fs]=audioread('sample.wav') fdatool l=length(s); figure('name','spee...

mehr als 6 Jahre vor | 1 Antwort | 0

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