beamform a signal in matlab

main.m
% Step 1: Define array geometry
micPositions = [1, 0, 0; 0, 1, 0; -1, 0, 0; 0, -1, 0];  % Example: 4 microphones in a square array

% Step 2: Collect microphone signals
signalMatrix = ... % Replace with your collected microphone signals (each column represents a microphone)

% Step 3: Calculate covariance matrix
covarianceMatrix = cov(signalMatrix);

% Step 4: Compute MVDR beamforming weights
desiredAngle = 30;  % Example: azimuth angle of the desired sound source
steeringVector = exp(1j * 2 * pi * desiredAngle / 360 * (micPositions * [0; 0; 1]));  % Steer towards desired angle
mvdrWeights = (covarianceMatrix \ steeringVector) / (steeringVector' / covarianceMatrix * steeringVector);  % MVDR weights

% Step 5: Apply beamforming weights
beamformedOutput = mvdrWeights' * signalMatrix;

% Step 6: Further analysis or processing
% ...

% Note: This code assumes the signalMatrix contains the microphone signals in each column.
% You may need to adapt the code depending on the specific structure of your inputs.
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