Sentence examples for using the discrete cosine from inspiring English sources

The following factors were investigated: rotating vs. static gantry modes with and without compensation of missing data using the discrete cosine transform (DCT) method, two levels of depth-encoding, and positron annihilation effects for 18F.

Reddy et al. [22] proposed a block selection approach using the discrete cosine transform (DCT) among some neighboring blocks to estimate the unconstructed parts of the background.

First, the log power spectrum y t (j) of each frame is converted into the cepstrum p t (i) by using the discrete cosine transform (DCT).

The twin crossbar architecture was previously proposed by S. N. Truong et al., for low-power image recognition, using the discrete cosine transformation [10].

The authors show that transient signals in the time domain can be mapped onto sinusoidal signals in a frequency domain, in this case, using the discrete cosine transform (DCT) [24].

Many image processing algorithms, such as transform coding using the Discrete Cosine Transform (DCT) and pattern recognition for robotic vision, need to access pixel values in a random access fashion.

The intention is to use the Discrete Cosine Transform to determine the values of the coefficients.

The most common method uses the discrete cosine transform, a mathematical formula related to the Fourier transform, which breaks the image into separate parts of differing levels of importance for image quality.

Jafarpour and McLaughlin (2008), Jafarpour et al. (2010) used the discrete cosine transform as a parameterization method in their history matching study.

A log operation is applied to the spectrum (hat {Phi }_{textit {xx}} k,ell)) before it is transformed to the cepstral domain using, e.g., the discrete cosine transform (DCT) begin{array}{*{20}l} &text{cepst} tau,ell) &= sum_{k=0}^{K-1} logleft(hat{Phi}_{xx} k,ell) right) cdot cosleft(frac{tau (k + 0.5) pi }{K} right).

The appropriate use of the discrete cosine transform (DCT) [23] and singular value decomposition (SVD) [24] are also described.