goertzel algorithm造句
例句與造句
- Like the DFT, the Goertzel algorithm analyses one selectable frequency component from a discrete signal.
- The particular filtering structure chosen for the Goertzel algorithm is the key to its efficient DFT calculations.
- The simple structure of the Goertzel algorithm makes it well suited to small processors and embedded applications, though not limited to these.
- I did a search for " Goertzel " and Wikipedia returned 0 search results, however, there is clearly an article titled " Goertzel algorithm ".
- The Goertzel algorithm can also be used " in reverse " as a sinusoid synthesis function, which requires only 1 multiplication and 1 subtraction per generated sample.
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- Unlike direct DFT calculations, the Goertzel algorithm applies a single real-valued coefficient at each iteration, using real-valued arithmetic for real-valued input sequences.
- However, these gains are natural for the Goertzel algorithm but will not be achieved for the FFT without using certain algorithm variants specialised for transforming real-valued data.
- For covering a full spectrum, the Goertzel algorithm has a higher order of complexity than fast Fourier transform ( FFT ) algorithms, but for computing a small number of selected frequency components, it is more numerically efficient.
- :To compute a single DFT bin X ( f ) for a complex input sequence of length N, the Goertzel algorithm requires 2 N multiplications and 4 \ N additions / subtractions within the loop, as well as 4 multiplications and 4 final additions / subtractions, for a total of 2 N + 4 multiplications and 4 N + 4 additions / subtractions.