Obisidian vault auto-backup: 06-01-2026 13:24:05 on . 3 files edited

This commit is contained in:
2026-01-06 13:24:05 +01:00
parent ff7ad0d2fb
commit 04e3ea34ee
3 changed files with 78 additions and 4 deletions

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@@ -219,6 +219,10 @@
},
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"ISEN/Traitement du signal/CIPA4/TP/TP3/~WRL0001.tmp",
"ISEN/Traitement du signal/CIPA4/TP/TP3/~WRD0000.tmp",
"ISEN/Traitement du signal/CIPA4/TP/TP3/TP3_Experience1.m",
"ISEN/Traitement du signal/CIPA4/TP/untitled.m",
"ISEN/Réseau/CIPA4/TP/Module 5/M05 TP 01 - Packet_Tracer_Les_commandes.pka~",
"ISEN/Réseau/CIPA4/TP/Module 4/M04 TP 01 - Communication.pdf",
"ISEN/Réseau/CIPA4/TP/Module 4/M04 TP 02 -Packet_Tracer-La_communication.pka~",
@@ -226,11 +230,7 @@
"ISEN/Traitement du signal/CIPA4/TP/TP2/TP2cipa_MARQUET.pdf",
"ISEN/Traitement du signal/CIPA4/TP/TP2/~$P2cipa.docx",
"ISEN/Traitement du signal/CIPA4/TP/TP2/TP2_Experience7.m",
"ISEN/Traitement du signal/CIPA4/TP/TP2/TP2_Experience6.m",
"ISEN/Traitement du signal/CIPA4/TP/TP2/TP2_Experience5.m",
"ISEN/Réseau/CIPA4/TP/Module 4/M04 TP 01 - Communication.pdf.sb-a92ffc2d-7qze7T",
"ISEN/Réseau/CIPA4/TP/TP M02 Conversion.md",
"ISEN/Réseau/CIPA4/TP/Module 5/M05 TP 01 - Les commandes.pdf",
"Protocol Data Units (PDU).md",
"ISEN/English/CIPA4/Elevator pitch.md",
"ISEN/English/CIPA4/24 oct 2025.md",

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@@ -0,0 +1,74 @@
%% Experiment 1 : Extract narrow-band jamming noise from Q2noisy
% Objective:
% - Load noisy audio file 'Q2noisy.wav'
% - Plot magnitude spectrum to identify jamming frequency
% - Design a Butterworth bandstop (notch) filter around that frequency
% - Filter the signal and save result as 'E71yourname.wav'.
clc;
clear;
close all;
%% 1) Load the WAV file
% Q2noisy.wav must be in the same folder as this script.
[noisySig, Fs] = audioread('Q2noisy.wav'); % noisySig is a column vector, Fs in Hz
% If stereo, convert to mono (average of channels)
if size(noisySig,2) > 1
noisySig = mean(noisySig, 2);
end
N = length(noisySig); % Number of samples
t = (0:N-1)/Fs; % Time axis (s)
%% 2) Plot magnitude spectrum to locate jamming frequency
% Compute FFT
X = fft(noisySig);
magX = abs(X); % Magnitude spectrum
% Only positive frequencies (single-sided)
halfN = floor(N/2) + 1;
magX_half = magX(1:halfN);
f = (0:halfN-1) * (Fs/N); % Frequency axis in Hz
figure('Name','Q2noisy - Magnitude spectrum');
plot(f, magX_half, 'g');
xlabel('Frequency (Hz)');
ylabel('|X(f)|');
title('Magnitude spectrum of Q2noisy (use this to read jamming frequency)');
grid on;
xlim([0 Fs/2]);
% >>> À partir de cette figure, lis la fréquence du pic étroit (jamming).
% Remplace "fJam" ci-dessous par la valeur observée (en Hz).
fJam = 1000; % EXAMPLE ONLY: replace by the real jamming frequency you read
%% 3) Design a suitable Butterworth bandstop (notch) filter
% Choose a small stopband around the jamming frequency, e.g. ±50 Hz
deltaF = 50; % half-width of stopband (Hz) - adjust if needed
f1 = (fJam - deltaF); % lower edge of stopband (Hz)
f2 = (fJam + deltaF); % upper edge of stopband (Hz)
% Normalise frequencies w.r.t Nyquist (Fs/2) for BUTTER.
Wn = [f1 f2] / (Fs/2); % normalized stopband [0..1]
% Filter order (higher -> sharper notch but more phase distortion)
Nfilt = 4; % 4th-order Butterworth bandstop (typical choice)
[b, a] = butter(Nfilt, Wn, 'stop'); % bandstop (notch) filter
% (Optionnel) Afficher la réponse fréquentielle du filtre
% figure; freqz(b,a,1024,Fs); grid on;
%% 4) Filter the noisy signal
cleanSig = filter(b, a, noisySig); % Apply the filter to remove narrow-band noise
%% 5) Save the result
audiowrite('E71marquet.wav', cleanSig, Fs); % change 'yourname' to your actual name