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The S-transform is a method of time-frequency analysis of a time series, essentially the Fourier spectrum as a function of time. While attractive in concept, the S-transform suffers from inherently poor frequency resolution, particularly at the high frequencies. We present here a technique (named STF) to enhance the frequency resolution through the use of the global Fourier spectrum. The scaling of...
Pulse compression technique avoids the transmission of a signal having small pulse width and high peak power for better range resolution by transmitting phase or frequency modulated large pulse width signal having comparatively low peak power signal. This paper demonstrates an application of non dominated sorting genetic algorithm-II (NSGA-II), a multiobjective algorithm, to generate biphase pulse...
Binary sequences having good aperiodic autocorrelation functions (ACFs) with low range sidelobes are required for many communication applications. However, few such good binary sequences are available having large sequence length. In this paper nondominated sorting genetic algorithm-II (NSGA-II) is used to generate biphase pulse compression codes from length 49 to 100. Pulse compression technique...
The time-frequency representation (TFR) has been used as a powerful technique to identify, measure and process the time varying nature of signals. In the recent past S-transform gained a lot of interest in time-frequency localization due to its superiority over all the existing identical methods. It produces the progressive resolution of the wavelet transform maintaining a direct link to the Fourier...
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