Semantic Sampling via Learnable Observation Front Ends | Paper Citation Record

Observation 03138942-ab61-4735-b247-6b71c4b95641 · outbound

This paper cites Certain topics in telegraph transmission theory,.

Semantic Sampling via Learnable Observation Front Ends Certain topics in telegraph transmission theory,

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This paper cites Communication in the presence of noise,.

Semantic Sampling via Learnable Observation Front Ends Communication in the presence of noise,

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This paper cites Sampling-50 years after shannon,.

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Semantic Sampling via Learnable Observation Front Ends Generalized sampling expansion,

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Semantic Sampling via Learnable Observation Front Ends Sampling signals with finite rate of innovation,

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This paper cites Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency informa- tion,.

Semantic Sampling via Learnable Observation Front Ends Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency informa- tion,

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This paper cites Compressed sensing,.

Semantic Sampling via Learnable Observation Front Ends Compressed sensing,

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This paper cites Stable signal recovery from incomplete and inaccurate measurements,.

Semantic Sampling via Learnable Observation Front Ends Stable signal recovery from incomplete and inaccurate measurements,

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Observation 35aabaf0-0142-40c0-b3d9-62dcf11b1e32 · outbound

This paper cites The restricted isometry property and its implications for compressed sensing,.

Semantic Sampling via Learnable Observation Front Ends The restricted isometry property and its implications for compressed sensing,

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This paper cites Model- based compressive sensing,.

Semantic Sampling via Learnable Observation Front Ends Model- based compressive sensing,

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This paper cites Audio Super Resolution using Neural Networks.

Semantic Sampling via Learnable Observation Front Ends Audio Super Resolution using Neural Networks

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This paper cites NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling.

Semantic Sampling via Learnable Observation Front Ends NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling

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This paper cites NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates.

Semantic Sampling via Learnable Observation Front Ends NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates

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This paper cites VoiceFixer: Toward General Speech Restoration with Neural Vocoder.

Semantic Sampling via Learnable Observation Front Ends VoiceFixer: Toward General Speech Restoration with Neural Vocoder

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This paper cites Audiosr: Versatile audio super-resolution at scale,.

Semantic Sampling via Learnable Observation Front Ends Audiosr: Versatile audio super-resolution at scale,

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This paper cites Towards high-quality and efficient speech bandwidth extension with parallel amplitude and phase prediction,.

Semantic Sampling via Learnable Observation Front Ends Towards high-quality and efficient speech bandwidth extension with parallel amplitude and phase prediction,

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This paper cites Train- able frontend for robust and far-field keyword spotting,.

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This paper cites Learning filterbanks from raw speech for phone recogni- tion,.

Semantic Sampling via Learnable Observation Front Ends Learning filterbanks from raw speech for phone recogni- tion,

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This paper cites LEAF: A Learnable Frontend for Audio Classification.

Semantic Sampling via Learnable Observation Front Ends LEAF: A Learnable Frontend for Audio Classification

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This paper cites Necessary density conditions for sampling and interpola- tion of certain entire functions,.

Semantic Sampling via Learnable Observation Front Ends Necessary density conditions for sampling and interpola- tion of certain entire functions,

Reference 21

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This paper cites Near-optimal signal recovery from random projections: Universal encoding strategies?.

Semantic Sampling via Learnable Observation Front Ends Near-optimal signal recovery from random projections: Universal encoding strategies?

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This paper cites From theory to practice: Sub-nyquist sampling of sparse wideband analog signals,.

Semantic Sampling via Learnable Observation Front Ends From theory to practice: Sub-nyquist sampling of sparse wideband analog signals,

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This paper cites Recon- net: Non-iterative reconstruction of images from compressively sensed measurements,.

Semantic Sampling via Learnable Observation Front Ends Recon- net: Non-iterative reconstruction of images from compressively sensed measurements,

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This paper cites DeepCodec: Adaptive Sensing and Recovery via Deep Convolutional Neural Networks.

Semantic Sampling via Learnable Observation Front Ends DeepCodec: Adaptive Sensing and Recovery via Deep Convolutional Neural Networks

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Semantic Sampling via Learnable Observation Front Ends Learning a compressed sensing measurement matrix via gradient unrolling,

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Semantic Sampling via Learnable Observation Front Ends Compressed sensing using generative models,

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Semantic Sampling via Learnable Observation Front Ends Deep compressed sensing,

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Semantic Sampling via Learnable Observation Front Ends Scalable Deep Compressive Sensing

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This paper cites Auto-Encoding Variational Bayes.

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Semantic Sampling via Learnable Observation Front Ends Neural discrete representation learning,

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