Sentence examples for transform processor from inspiring English sources

This paper presents an Efficient VLSI design of one-dimensional direct discrete wavelet transform processor.

The objective of this research was to investigate the possibility of reducing the sizes of dyadic wavelet transform processor and dyadic wavelet inverse-transform processor using surface acoustic wave (SAW) devices.

The goal of this research is to study two-port network of wavelet transform processor (WTP) using surface acoustic wave (SAW) devices and its application.

A resource efficient and high-performance architecture for a two-dimensional multi-level discrete wavelet transform processor is presented in this paper.

In this paper, we propose a low insertion loss and miniaturization wavelet transform and inverse transform processor using surface acoustic wave (SAW) devices.

Therefore, the method described in this paper is suitable for implementing an arbitrary multi-scale low insertion loss and miniaturization wavelet transform and inverse transform processor using SAW devices.

Since decades, popular window techniques such as Hanning, Hamming, Blackman and Flat top window have been used to minimize unwanted effects like spectral leakage and scalloping losses due to direct truncation of signals before fast Fourier transform (FFT) processor.

The objective of this research was to investigate the implementation schemes of the wavelet inverse-transform processor using surface acoustic wave (SAW) device, the length function of defining the electrodes, and the possibility of solving the load resistance and the internal resistance for the wavelet inverse-transform processor using SAW device.

This will allow us to make an extensive use of the DFT operation, and thus to further benefit from the efficient computation properties of fast Fourier transform (FFT) processors [50].

An arbitrary wavelet transform and reconstruction processor is composed of multiple single-scale wavelet transform devices (SSWTDs) with different scales.

We propose to implement wavelet transform and reconstruction processor with surface acoustic wave (SAW) device based on multistrip coupler (MSC).