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Filtering Complexity and FFT Analysis by krajasekarantuti is a document available to read on EtoBox.
What is Filtering Complexity and FFT Analysis about?
The document discusses the complexity of digital filtering in the time and frequency domains. Filtering in the time domain has a complexity of O(N2) due to the need for N2 multiplications and additions. Filtering in the frequency domain using the discrete Fourier transform (DFT) also has a complexity of O(N2). However, the document introduces the fast Fourier transform (FFT) algorithm which exploits properties of the DFT to reduce the complexity to O(NlogN), making it more efficient for applications involvi
- Author
- krajasekarantuti
- Language
- EN