You are here : matlab → Signal Processing → rssq
# rssq() - Signal Processing

### Syntax

### Example

### Output / Return Value

### Limitations

### Alternatives / See Also

### Reference

Y = rssq(X) returns the root-sum-of-squares (RSS) level, Y, of the input, X. If X is a row or column vector, Y is a real-valued scalar. For matrices, Y contains the RSS levels computed along the first nonsingleton dimension. For example, if Y is an N-by-M matrix with N > 1, Y is a 1-by-M row vector containing the RSS levels of the columns of Y.Y = rssq(X,DIM) computes the RSS level of X along the dimension, DIM.

Y = rssq(X)Y = rssq(X,DIM)

RSS Level of SinusoidOpen This ExampleCompute the RSS level of a 100 Hz sinusoid sampled at 1 kHz.t = 0:0.001:1-0.001; x = cos(2*pi*100*t); y = rssq(x) y = 22.3607 RSS Levels of 2-D MatrixOpen This Example Create a matrix where each column is a 100 Hz sinusoid sampled at 1 kHz with a different amplitude. The amplitude is equal to the column index. Compute the RSS levels of the columns.t = 0:0.001:1-0.001; x = cos(2*pi*100*t)'*(1:4); y = rssq(x) y = 22.3607 44.7214 67.0820 89.4427 RSS Levels of 2-D Matrix Along Specified DimensionOpen This Example Create a matrix where each row is a 100 Hz sinusoid sampled at 1 kHz with a different amplitude. The amplitude is equal to the row index. Compute the RSS levels of the rows specifying the dimension equal to 2 with the DIM argument.t = 0:0.001:1-0.001; x = (1:4)'*cos(2*pi*100*t); y = rssq(x,2) y = 22.3607 44.7214 67.0820 89.4427