Design of near perfect reconstruction prototype filter with FFT interpolation

Chen, Zhuyun; Zhongliang, Shen; Guo, Daoxing; Wang, Xi

doi:10.1109/icdsp.2016.7868536

Cited by 2 publications

(2 citation statements)

References 10 publications

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“…In this section, we will give an overview of the methods to ensure perfect reconstruction is realized for both frequency domain and time domain. For more advanced and efficient methods than the ones presented in this paper, [3] covers some of them.…”

Section: Perfect Reconstructionmentioning

confidence: 99%

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Comparison of Algorithms for Fundamental Frequency Detection in the Context of Audio Plug-Ins

NECHIFOR,

DINULESCU

2023

RRST-EE

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This scientific article presents a comprehensive study of audio signals' fundamental frequency detection methods, focusing on both time-domain and frequency-based approaches and audio file processing since it is crucial for the post-processing part of the audio plug-ins for which this study is intended. Additionally, the article introduces self-repairing algorithms that adaptively identify and correct errors in the detected signals, ensuring robustness and accuracy in signal processing tasks and enhancing the overall detection performance. The findings from this study offer valuable insights into advancing signal processing techniques with broader implications across various domains.

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Section: Perfect Reconstructionmentioning

confidence: 99%

“…ACF detected fundamental frequency (blue) and the nearest note assignment (red) on the part of the recorded soprano female voice. The resultant assigned note values are stored within a workspace table for subsequent processing [3].…”

Section: Baum-welch Algorithmmentioning

confidence: 99%

Comparison of Algorithms for Fundamental Frequency Detection in the Context of Audio Plug-Ins

NECHIFOR,

DINULESCU

2023

RRST-EE

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An Efficient Digital Channelized Receiver for Low SNR and Wideband Chirp Signals Detection

et al. 2023

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Synthetic aperture radar (SAR) is essential for obtaining intelligence in modern information warfare. Wideband chirp signals with a low signal-to-noise ratio (SNR) are widely used in SAR. Intercepting low-SNR wideband chirp signals is of great significance for anti-SAR reconnaissance. Digital channelization technology is an effective means to intercept wideband signals. The existing digital channelization methods have the following problems: the contradiction of reception blind zone and signal spectrum aliasing, high computational complexity, and low estimating accuracy for chirp signals with a low SNR. This paper proposes a non-critical sampling digital channelized receiver architecture to intercept chirp signals. The receiver architecture has no blind zone in channel division and no aliasing of signal spectrum in the channel, which can provide reliable instantaneous frequency measurements. An adaptive threshold generation algorithm is proposed to detect signals without prior information. In addition, an improved instantaneous frequency measurement (IFM) algorithm is proposed, improving low SNR chirp signals’ frequency estimation accuracy. Moreover, a simple channel arbitration logic is proposed to complete the cross-channel combination of wideband signals. Simulations show that the proposed receiver architecture is reliable and robust for low SNR and wideband chirp signal detection. When the input SNR is 0 dB, the absolute frequency root-mean-square error (RMSE) of bandwidth and the center frequency is 0.57 MHz and 1.05 MHz, respectively. This frequency accuracy is great for radio frequency (RF) wideband systems.

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Design of near perfect reconstruction prototype filter with FFT interpolation

Cited by 2 publications

References 10 publications

Comparison of Algorithms for Fundamental Frequency Detection in the Context of Audio Plug-Ins

Comparison of Algorithms for Fundamental Frequency Detection in the Context of Audio Plug-Ins

An Efficient Digital Channelized Receiver for Low SNR and Wideband Chirp Signals Detection

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