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At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as we continue to pioneer advances in integrated circuits. Each generation of innovation builds upon the last to make technology smaller, more efficient, more reliable and more affordable – opening new markets and making it possible for semiconductors to go into electronics everywhere. We think of this as Engineering Progress.
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关于IQ Option期权平台上出金提款问题解答
@ Merck KGaA, Darmstadt, Germany, 2014。All references to Merck refer to Merck KGaA, Darmstadt, Germany.
xcorr
r 关于IQ Option期权平台上出金提款问题解答 = xcorr( x , y ) returns the cross-correlation of two discrete-time sequences. Cross-correlation measures the similarity between a vector x and shifted (lagged) copies of a vector y as a function of the lag. If x and y have different lengths, the function appends 关于IQ Option期权平台上出金提款问题解答 zeros to the end of the shorter vector so it has the same length as the other.
r = xcorr( x ) returns the autocorrelation sequence of x . If x is a matrix, then r is a matrix whose columns contain the autocorrelation and cross-correlation sequences for all combinations of the columns of x .
r = xcorr( ___ , maxlag ) limits the lag range from -maxlag to maxlag for either of the previous syntaxes.
r = xcorr( ___ , scaleopt ) also specifies a normalization option for the cross-correlation or autocorrelation. Any option other than 'none' (the default) requires x and y to have the same length.
[ r , lags ] = xcorr( ___ ) also returns the lags at which the correlations are computed.关于IQ Option期权平台上出金提款问题解答
Examples
Cross-Correlation of Two Vectors
Create a vector x and a vector y that is equal to x shifted by 5 elements to the right. Compute and 关于IQ Option期权平台上出金提款问题解答 plot the estimated cross-correlation of x and y . The 关于IQ Option期权平台上出金提款问题解答 largest spike occurs at the lag value when the elements of x and y match exactly (-5).
Autocorrelation of Vector
Compute and plot the estimated autocorrelation of a vector x . The largest spike occurs at zero lag, when x matches itself exactly.
Normalized Cross-Correlation
Compute and plot the normalized cross-correlation of vectors x and y with unity peak, and specify a maximum lag of 10 .
Input Arguments
x — Input array
vector | matrix | multidimensional array
Input array, specified as a vector, matrix, or multidimensional array. If x is a multidimensional array, then xcorr operates column-wise across all dimensions and returns each autocorrelation and cross-correlation 关于IQ Option期权平台上出金提款问题解答 as the columns of a matrix.
Data Types: single | double
Complex Number Support: Yes
y — Input array
vector
Input array, specified as a vector.
Data Types: single | double
Complex Number Support: Yes
maxlag — Maximum lag
integer scalar
Maximum lag, specified as an integer scalar. If you specify maxlag , the returned cross-correlation sequence ranges from -maxlag to maxlag . If you do not specify maxlag , the lag 关于IQ Option期权平台上出金提款问题解答 range equals 2N – 1, where N is the 关于IQ Option期权平台上出金提款问题解答 greater of the lengths of x and y .
Data Types: single | double
scaleopt — Normalization option
'none' (default) | 'biased' | 'unbiased' | 'normalized' | 'coeff'
Normalization option, specified as one of the following.
'none' — Raw, unscaled cross-correlation. 'none' 关于IQ Option期权平台上出金提款问题解答 is the only valid option when x and y have different lengths.
'biased' — Biased estimate of 关于IQ Option期权平台上出金提款问题解答 the cross-correlation:
R ^ x y , biased ( m ) 关于IQ Option期权平台上出金提款问题解答 = 1 N R ^ x y ( m ) .
'unbiased' — Unbiased estimate of the cross-correlation:
R ^ x y , unbiased ( m ) = 1 N − | m | R ^ x y ( m ) .
'normalized' or 'coeff' — Normalizes the sequence so that the autocorrelations at zero lag equal 1:
R ^ x y , coeff ( m ) = 1 R ^ x x ( 0 ) R ^ y y ( 0 ) R ^ x y ( m ) .
Output Arguments
r — Cross-correlation or autocorrelation
vector | matrix
Cross-correlation or autocorrelation, returned as 关于IQ Option期权平台上出金提款问题解答 关于IQ Option期权平台上出金提款问题解答 a vector or matrix.
If x is an M × N matrix, then xcorr(x) returns a (2M – 1) × N 2 matrix with the autocorrelations and cross-correlations of the columns of x . If 关于IQ Option期权平台上出金提款问题解答 you specify maxlag , then r has size (2 关于IQ Option期权平台上出金提款问题解答 × maxlag + 1) × N 2 .
For example, if S has three columns, S = ( x 1 x 2 x 3 ) , then the result of R = xcorr(S) is organized as
R = ( R x 1 x 1 R x 1 x 2 R x 1 x 3 R x 2 x 1 R x 2 x 2 R x 关于IQ Option期权平台上出金提款问题解答 2 x 3 R x 3 x 1 R x 3 x 2 R x 3 x 3 ) .