rooteig Frequencies and power of sinusoids using eigenvector algorithm [w,pow] = rooteig(x,p) [w,pow] = rooteig(...,fs) [w,pow] = rooteig(...,'corr') x: int|double - vector|matrix Input signal. In case of a matrix, each row of x represents a seperate observation of the signal. If 'corr' flag is specified, then x is the correlation matrix. If w is not specified in the input, it is determined by the algorithm. If x is real valued, then range of w is [0, pi]. Otherwise, the range of w is [0, 2pi) p: int|double - scalar|vector p(1) is the dimension of the signal subspace p(2), if specified, represents a threshold that is multiplied by the smallest estimated eigenvalue of the signal's correlation matrix. w: int|double - vector w is the vector of normalized frequencies over which the pseuspectrogram is to be computed. fs: int|double - scalar (Default = 1) Sampling rate. Used to convert the normalized frequencies (w) to actual values (f) and vice-versa. [w,pow] = rooteig(x,p) estimates the frequency content in the time samples of a signal x, and returns w, a vector of frequencies in rad/sample, and the corresponding signal power in the vector pow in units of power, such as volts^2. The input signal x is specified either as: A row or column vector representing one observation of the signal A rectangular array for which each row of x represents a separate observation of the signal (for example, each row is one output of an array of sensors, as in array processing), such that x'*x is an estimate of the correlation matrix | peig | pmusic | rootmusic References Stoica, P. and R. Moses, INTRODUCTION TO SPECTRAL ANALYSIS, Prentice-Hall arguments - double - vector frequencies of the complex sinusoids - double - vector absolute value squared amplitudes of the sinusoids at frequencies w