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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "One-dimensional time-freq" (30 stories)

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Unlocking the potential of high-dimensional quantum communication with scalable photonic entanglement in time and frequency
Lead StoryScience | AAASworld
Jul 1

Unlocking the potential of high-dimensional quantum communication with scalable photonic entanglement in time and frequency

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBSOHVKUHBiN1J6Y1FpLWtCeUNnaEFpb3E4dmhCWFNNT0JyT0l3SUVacU42TjJhOEh3ejZYcmRBNWJhd1d4WUlsSHVLYzllLV9WVkVabWVNSGpsZk1fbHg0?oc=5" target="_blank">Unlocking the potential of high-dimensional quantum communication with scalable photonic entanglement in time and frequency</a>  <font color="#6f6f6f">Science | AAAS</font>

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Search Results for "One-dimensional time-freq"

Updated every 3 minutes via FreeNewsApi, GNews, Currents API & Google News

29 stories displayed
A hybrid-frequency programmable synthetic-dimension simulator with rich coupling on a single chip
Naturetech

A hybrid-frequency programmable synthetic-dimension simulator with rich coupling on a single chip

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9jTWFRNzU3aHBzdG1RWl9zNGdNcHF1dVZ4VHlXSl9HQWhmLUVvNGQ1Q0ZLNl85UXhnQUs2ZWlRMHQtLVJBbGNPN0stYmQzWDZOYWowUXFMeTNYU1FrcVlN?oc=5" target="_blank">A hybrid-frequency programmable synthetic-dimension simulator with rich coupling on a single chip</a>  <font color="#6f6f6f">Nature</font>

Classification of infrasonic signals based on time-frequency representation
Frontiersgeneral

Classification of infrasonic signals based on time-frequency representation

<a href="https://news.google.com/rss/articles/CBMimwFBVV95cUxQVHNERWJ6SVpnQ1UySU5ZLVJrTngteGFaWkRnX05renhDUEZNTlEwZFRVQ205UllvMkg1T1JQd2VxQjhVT2ppZm5zRHF1MXo2djBpSkZ1WF9xMlkzclVpOXJoVkpvclF1R0tvd2VRZjNvY2NNal9xTzVSSFVQdmt1dGc5R1FWdG14emJQUkxSczFZLXh4dG9BZ1NlYw?oc=5" target="_blank">Classification of infrasonic signals based on time-frequency representation</a>  <font color="#6f6f6f">Frontiers</font>

A time-frequency cross-attention network model for epileptic seizure detection
Naturegeneral

A time-frequency cross-attention network model for epileptic seizure detection

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE13b3JuWF85R1NfRy1PcWl5MGN6ZjZpZDNzTGlsYXpTU3ZXcmR5N1JmSUk2NnBSS1luWjBfWHhhV1Nxamg0dlBXRmNjTTNuY3BjZ1BSYmhEQW5udk1WaGhR?oc=5" target="_blank">A time-frequency cross-attention network model for epileptic seizure detection</a>  <font color="#6f6f6f">Nature</font>

Mobility-Resilient Communications with Low Pilot Overhead - Nanyang Technological University
NTU Singaporetech

Mobility-Resilient Communications with Low Pilot Overhead - Nanyang Technological University

<a href="https://news.google.com/rss/articles/CBMi1AFBVV95cUxOTC1JWFZBaFF0LXlTeVo3Mk9iekFyMFpHcmRlZ2xxeEE5OWtnaWg1X2t3cHBnOVpfY1llM2VJU05Cay1ha3RCSEcxbWRJUURCbjBHejlEbDlzazMteU5ybXFaSXFWTFFrbk0yc1hjVUJTYmE3bjhUUDZielJIOWhYRFRta2xxODNGeW9sM0lxX0pGWDhVaEZOel9SaGFVRlIyMEttZjFFY0k1QmFtRjVLS0VOVzdvT0htVkJFaFZiVFBpVUxsalJNUF9xV3YwR3hKSDY5TA?oc=5" target="_blank">Mobility-Resilient Communications with Low Pilot Overhead</a>  <font color="#6f6f6f">Nanyang Technological University - NTU Singapore</font>

A unified time-frequency foundation model for sleep decoding
Natureworld

A unified time-frequency foundation model for sleep decoding

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1xZWpaQ25VYW1pLWxpdGNTRXdkS1JSallRRldDWDhieENKdmNLcHNCNWdlV3lkZVl6UFRoQy1wdHFnaHhyU2xUX0thSWViVHY3NnR5OGdfWHdyUk9NTXNr?oc=5" target="_blank">A unified time-frequency foundation model for sleep decoding</a>  <font color="#6f6f6f">Nature</font>

A time-frequency feature fusion-based deep learning network for SSVEP frequency recognition
Frontiersgeneral

A time-frequency feature fusion-based deep learning network for SSVEP frequency recognition

<a href="https://news.google.com/rss/articles/CBMilAFBVV95cUxQS1ZlVUNCSHMzUGlIVlpGV0s4bkxNWmk2NGVMVmpBaWtWN0xkS3RIRGhwb1RCYmVSLWRLLXJMZlk0QmJWQ2pmdlRYX29aWEdZOVlkTW1CcUxYZW9zTi05TjYxZHZYWXBfMTQ4NVRKQkV0X3R6NEE0WG9jWnF5bVBZLVIyNUhtU3RoNDJoVHN4NVI0R3Rs?oc=5" target="_blank">A time-frequency feature fusion-based deep learning network for SSVEP frequency recognition</a>  <font color="#6f6f6f">Frontiers</font>

concentration based on high-frequency and low-frequency IMFs with EMD decomposition
Naturegeneral

concentration based on high-frequency and low-frequency IMFs with EMD decomposition

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1tV2xiUWxuU01zY0lTbzZCQUk1aVoxTzg2VTBybVBtVUdURDRSQnhYZy1SajFZWVpKTFBmLV9yMGE0SUloODQ4YUF0ckJGWUpxcmlHUTI4aEdWWVpRdlBB?oc=5" target="_blank">concentration based on high-frequency and low-frequency IMFs with EMD decomposition</a>  <font color="#6f6f6f">Nature</font>

A time-frequency denoising method for single-channel event-related EEG
Frontiersgeneral

A time-frequency denoising method for single-channel event-related EEG

<a href="https://news.google.com/rss/articles/CBMikwFBVV95cUxPX3dzdTg5VENVODJyVllNZzFzMjVqWG9LVVpfY2pady1IS09sWXdWZnNWazNERXJWTjhCcVRGc0JkWjljeUtXWXhEcXJmQ0xGUGJHRUhWQms4SERQMkV3WEtRaS01UWV1NTVpYmFaUzlEeWF3ZVVVSDMwQXFnWEdoM0J0d1J5cThxRERQd3AxNzNrSWM?oc=5" target="_blank">A time-frequency denoising method for single-channel event-related EEG</a>  <font color="#6f6f6f">Frontiers</font>

Multi-horizon flight trajectory prediction enabled by time-frequency wavelet transform
Naturegeneral

Multi-horizon flight trajectory prediction enabled by time-frequency wavelet transform

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBSbHBWdXp0cnl0Nk1fWXgxeTNyV1hmTGNNd29QTl9IWXF1NkphUjNRaUVKVDkyQjQtSTQzZ255cm1nampWVjJZZkI1dm1BLXFoR0NtLU9aZDVwRWdzcHJF?oc=5" target="_blank">Multi-horizon flight trajectory prediction enabled by time-frequency wavelet transform</a>  <font color="#6f6f6f">Nature</font>

Fault detection and diagnosis in photovoltaic systems using artificial intelligence and time–frequency analysis
Naturetech

Fault detection and diagnosis in photovoltaic systems using artificial intelligence and time–frequency analysis

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBkM2VUTFVybFNSeHlWUl9ncW5iTDExOElpT29qX2t4cl90R01yR1c1Mk1rMTFkY1FjVHhmTS1JbnF1ejFPdks0dlZ3Qnh2M3JNSkw0bWN1UXA2cDJucVBv?oc=5" target="_blank">Fault detection and diagnosis in photovoltaic systems using artificial intelligence and time–frequency analysis</a>  <font color="#6f6f6f">Nature</font>

One-dimensional time-frequency dual-channel visual transformer for bearing fault diagnosis under strong noise and limited data conditions
Natureworld

One-dimensional time-frequency dual-channel visual transformer for bearing fault diagnosis under strong noise and limited data conditions

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1IbW9XWjQ4Q2VodlROb1ZWSWlkWS11MkVaSlpnRjE0eHNJamYzNlZWa0VfdjJLMktEOHhKMVVZdVpBaWxzNkNzYjFYbHJ2dnVoSm9iekJtZ1FLNG1nRjNZ?oc=5" target="_blank">One-dimensional time-frequency dual-channel visual transformer for bearing fault diagnosis under strong noise and limited data conditions</a>  <font color="#6f6f6f">Nature</font>

SCBM-Net: a multimodal feature fusion-based dual-channel method for bearing fault diagnosis
Naturegeneral

SCBM-Net: a multimodal feature fusion-based dual-channel method for bearing fault diagnosis

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9SR1hXQTRLQmFsYkNWTVowUGg0emt4bmQ5dkZsc256LUFHRDY0bUJER0tqLTUzN0xKYU05U2g1YUxZcS1lWkNDaDBLZHFMbC1CN1hhRzhmeVc3T3NmMklv?oc=5" target="_blank">SCBM-Net: a multimodal feature fusion-based dual-channel method for bearing fault diagnosis</a>  <font color="#6f6f6f">Nature</font>

High-dimensional time-frequency entanglement in a singly-filtered biphoton frequency comb | Communications Physics
Natureworld

High-dimensional time-frequency entanglement in a singly-filtered biphoton frequency comb | Communications Physics

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE91WFhjTEs0R3pWTXBHMjBvdERnOGZPaGVCdHYwSzN6ektkbTJ2UURaV2lVVmtNaGUtaGZiVEc2SDY5WDhHNUVMUlh0OTFkY21keEdqREFrVU9JcS16UDB3?oc=5" target="_blank">High-dimensional time-frequency entanglement in a singly-filtered biphoton frequency comb | Communications Physics</a>  <font color="#6f6f6f">Nature</font>

Multi-dimensional band structure spectroscopy in the synthetic frequency dimension | Light: Science & Applications
Naturescience

Multi-dimensional band structure spectroscopy in the synthetic frequency dimension | Light: Science & Applications

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE0xdjhBSUZROWIzb1kxNDNWQlhlSXQtNmRFU0hiazBCdEd5MXJuekdEaUNGd3JoaGt0di1UcERYR0JEbEdQRS1uSkY3RXZlZDFxLTQ5TGRoaEx1TTJGNmhn?oc=5" target="_blank">Multi-dimensional band structure spectroscopy in the synthetic frequency dimension | Light: Science & Applications</a>  <font color="#6f6f6f">Nature</font>

A bicoherence approach to analyze multi-dimensional cross-frequency coupling in EEG/MEG data
Naturegeneral

A bicoherence approach to analyze multi-dimensional cross-frequency coupling in EEG/MEG data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9NdmxmQ0lYTTMwWHhjdnZkRExYdU5LaTd1ak1JdWZwaEllV1lnTFZZc0pKUGxkOHRCeVUwLTE5QnhIWl9fUzB2bmVRXzJmMkpRNk5kamtJVkFMN2czRWhZ?oc=5" target="_blank">A bicoherence approach to analyze multi-dimensional cross-frequency coupling in EEG/MEG data</a>  <font color="#6f6f6f">Nature</font>

Creating boundaries along a synthetic frequency dimension
Natureworld

Creating boundaries along a synthetic frequency dimension

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5JSFFDTjA1RXFlYTJrNm0wMWduSlItbnlMSFozdHh1UWYwUW42SFJCNFhhbll6TnQ4Z0NUY2FhQk1Rcy1jbjc4RF90NWYyS2hhdWFENU1VTjlrWGJDR0Rn?oc=5" target="_blank">Creating boundaries along a synthetic frequency dimension</a>  <font color="#6f6f6f">Nature</font>

Nonlinear time domain and multi-scale frequency domain feature fusion for time series forecasting
Naturetech

Nonlinear time domain and multi-scale frequency domain feature fusion for time series forecasting

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBadWVlN1ZraDVHclFOMWpwX0o0Q09pNHBjaGNya0s2TXc3eXcxaE5OZXNEZ1lnZWJ2X3RiOE5oS0syOFprU0FVMG1VUjFqYUZ4SVZYQUszeGZhTjhURjBv?oc=5" target="_blank">Nonlinear time domain and multi-scale frequency domain feature fusion for time series forecasting</a>  <font color="#6f6f6f">Nature</font>

MVB fault diagnosis based on time-frequency analysis and convolutional neural networks
Naturegeneral

MVB fault diagnosis based on time-frequency analysis and convolutional neural networks

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE53eWZQTzVnN3NzdkFDRVdVek1DbW1sLWtBUEU0Z09lb1F4YzI3SUU0RnRGQkNpRTIwR1lRRzNGbHZqWHlOc3RNdEhScnhQWTMzY2lVSXhSSmZqeUprbnNz?oc=5" target="_blank">MVB fault diagnosis based on time-frequency analysis and convolutional neural networks</a>  <font color="#6f6f6f">Nature</font>

Time–frequency time–space LSTM for robust classification of physiological signals
Naturescience

Time–frequency time–space LSTM for robust classification of physiological signals

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1oWlFmcl9XaS1MdWRqbWJyZGlHbXczRDVrYWczT0E3OHlva0ZIVnRaa244RzBmd21nVzJSTHJiYnI2U00tM3V5UnduMXNEUTk5dDFuTUlHZUdwZ2VUNy1Z?oc=5" target="_blank">Time–frequency time–space LSTM for robust classification of physiological signals</a>  <font color="#6f6f6f">Nature</font>

Improving time series forecasting in frequency domain using a multi resolution dual branch mixer with noise insensitive ArcTanLoss
Naturetech

Improving time series forecasting in frequency domain using a multi resolution dual branch mixer with noise insensitive ArcTanLoss

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE81bUI0QkRHOHd5NVdEb2loSzNXejBIX1FNdkNRMlh4S0R2MjB6ZFhVaDVnZm96VkF6WDFEbDlMVXR2T2M0TVZmM3VmRWFWcjlTWE8tOG50aFcwVmtIelJz?oc=5" target="_blank">Improving time series forecasting in frequency domain using a multi resolution dual branch mixer with noise insensitive ArcTanLoss</a>  <font color="#6f6f6f">Nature</font>

Unveiling clean two-dimensional discrete time crystals on a digital quantum computer | npj Quantum Information
Natureworld

Unveiling clean two-dimensional discrete time crystals on a digital quantum computer | npj Quantum Information

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9maWItaXJ0SnNRcXZROHc4eFhVa1lnMzJJWk9oRUdTTmN1SVpsQ2g5RUd4cUJubUxUd1RMRy02dGlXVkFPRzRsbEI4dmJNSnlKWVp0c0xTWF9SYTA5UmtF?oc=5" target="_blank">Unveiling clean two-dimensional discrete time crystals on a digital quantum computer | npj Quantum Information</a>  <font color="#6f6f6f">Nature</font>

Mirror-induced reflection in the frequency domain
Naturetech

Mirror-induced reflection in the frequency domain

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9hQzdlYWUwdnM0cWdCNVg1S05yc2dRdVR4NEZncmY1dlZZY0h3MTZXUF9CdnRtXzhVUENITFd6WUlpZFNpSURTLTluXzBZVkU3eUVWUGVFVkplLUpjQ25z?oc=5" target="_blank">Mirror-induced reflection in the frequency domain</a>  <font color="#6f6f6f">Nature</font>

Versatile photonic frequency synthetic dimensions using a single programmable on-chip device
Naturetech

Versatile photonic frequency synthetic dimensions using a single programmable on-chip device

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9IS0IwSmd5eGdNS0FTcjNvQWZGSFZnTGxjM1daWDBPVlJNS3Z3WHd5VEpORGh0QzJWVFBtc2plSE1tTWlqazZvcU1UaklkalR5anUwRWhwa0dSeEJTTGJv?oc=5" target="_blank">Versatile photonic frequency synthetic dimensions using a single programmable on-chip device</a>  <font color="#6f6f6f">Nature</font>

Cross-wavelet analysis allows obtaining high temporal and frequency resolution in heart rate synchrony analysis
Frontierstech

Cross-wavelet analysis allows obtaining high temporal and frequency resolution in heart rate synchrony analysis

<a href="https://news.google.com/rss/articles/CBMinAFBVV95cUxQT0FXYmQtcHh6VG9xbk5ZcUJVcndxVDlfbVpZODVjaFYwZFZVeXE3bk9Ob2dKcXNpUEZOQnUyQnNoV3N0cEdJandhSWF2T29aRWpBMVI0bFpRRFIxWnh2WHN1TXNBN0ZGd0dTT3hkcUo0STZCSDJ0Y2FJNldTN0tLcTJPTmd0OUNIeTVEVjAxR0c3S2gwYTk3RUZ2aUc?oc=5" target="_blank">Cross-wavelet analysis allows obtaining high temporal and frequency resolution in heart rate synchrony analysis</a>  <font color="#6f6f6f">Frontiers</font>

A modified transformer based on adaptive frequency enhanced attention, large kernel convolution, and multiscale implementation for bearing fault diagnosis
Naturegeneral

A modified transformer based on adaptive frequency enhanced attention, large kernel convolution, and multiscale implementation for bearing fault diagnosis

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1wc3pRTFhmdno2Q1p0WXB5Z1NWcUMwQWN3SlNHU3htMDBCd2ZGdW43a09na1U2WENnMV9ENHJSSVRNRFJwYm9sb0FRckVwYmc2NS1OLVhkVmlZNGxldEww?oc=5" target="_blank">A modified transformer based on adaptive frequency enhanced attention, large kernel convolution, and multiscale implementation for bearing fault diagnosis</a>  <font color="#6f6f6f">Nature</font>

Detection of epileptiform activity in EEG signals based on time-frequency and non-linear analysis
Frontiersgeneral

Detection of epileptiform activity in EEG signals based on time-frequency and non-linear analysis

<a href="https://news.google.com/rss/articles/CBMipAFBVV95cUxONkZDaTh1Sm8xTUVXQklReFZkLUdKaERWcVlpWjZ2OGVCZDdQay1PWnQtNnFUeHg0YV8tTnU3NFRhTFVIWXBia01zaEVYb0FGbHo5UHhrZUNNQk9oUkFyeWRMWWNkUVBRam51Z0hERVZGYWZRbE1LTUktSzdQLXZBU01jRkdIZlE1clhCOFZTYkQ1b09iN2tleGtaUWUyNzdjYWFubQ?oc=5" target="_blank">Detection of epileptiform activity in EEG signals based on time-frequency and non-linear analysis</a>  <font color="#6f6f6f">Frontiers</font>

Judgments of frequency and duration: One or two underlying dimensions?
Cambridge University Press & Assessmentworld

Judgments of frequency and duration: One or two underlying dimensions?

<a href="https://news.google.com/rss/articles/CBMiigJBVV95cUxPWGtZY2c0NEcwdTB0TGxQQzM4dXV0ODMwclNFT0xNTlY4SDdxcGVJLUxwZ1ptUU1mV0ZsVzVuVnBidlhxb3p6bnprZG05bXZNNVFtRVJYX1lVcWxSTzk4SWZzc2kzM1VjLUdLdFA3dVp2dExTRE5POWVCZDBYSVl3T0hlM21UYnFKS29seHlDaUhwLUt4ZUNTd29jWkRPR2k3U1BTZndqTGJIVnVzWFRpTGNqZUdqYTEtWlZXYzFDVHNUSjNReGZjT0x1T055Ym9Gd2xmLXhLMU01NHktQ2tuOTU2SmxNZVQwaFdrZ0h0bGNQaWxoSEstMEhpS29GZDNNQmlzUnhtdWNjQQ?oc=5" target="_blank">Judgments of frequency and duration: One or two underlying dimensions?</a>  <font color="#6f6f6f">Cambridge University Press & Assessment</font>

Flight trajectory prediction enabled by time-frequency wavelet transform
Naturegeneral

Flight trajectory prediction enabled by time-frequency wavelet transform

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE4xWXdnT3k0T2I3UDVvYTk0VzRXdVhuZU00ZGJfZDNtUUJqbW1jV3g4bjQ4SklyLWJFLWJTdWJGb0dwQmVINjhhVGhkZk1aaTVGbm9OOHdIYTBFbGRPZjhj?oc=5" target="_blank">Flight trajectory prediction enabled by time-frequency wavelet transform</a>  <font color="#6f6f6f">Nature</font>

DEP-CEEMDAN-MPE-INHT a time-frequency analysis method for noisy blasting seismic waves with adaptive noise suppression and endpoint processing
Naturegeneral

DEP-CEEMDAN-MPE-INHT a time-frequency analysis method for noisy blasting seismic waves with adaptive noise suppression and endpoint processing

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBvQTZiZTM0eFd1M3UzcG5DZ0t4RHdRWS1hWm5ZWFdicm9SLTVRTEh2VGhlaUM4TVlpbmQyWVJfekV4OW54b25rekZCMFh2d084SS1HX3Ata0tWTHZINVcw?oc=5" target="_blank">DEP-CEEMDAN-MPE-INHT a time-frequency analysis method for noisy blasting seismic waves with adaptive noise suppression and endpoint processing</a>  <font color="#6f6f6f">Nature</font>

"One-dimensional time-freq" — Live Google News Trends & Headlines