23 papers · ranked by Valyu relevance
Satoshi Kanno, Yoshi-aki Shimada
We present a new geometric perspective on quantum error correction based on spectral triples in noncommutative geometry. In this approach, quantum error-correcting codes are reformulated as low-energy spectral projections of Dirac-type operators that separate global logical degrees of freedom from local, correctable…
Li Ping Qian, Zhehan Chen, Qianru Wang, Qian Wang + 2 more
This paper focuses on the Low-Bitrate Secure Speech Communications based on the Structured Spectral Compression (LB-S2C2). Specifically, the Mel spectral matrix of the speech signal is first encoded at the transmitter side through compressive sensing based on waveform segmentation and data quantization. Then, the…
Mohamed Siala, Abdullah Al-Nafisah, Tareq Y. Al-Naffouri
Nyquist Signaling Modulations (NSMs) are a novel signaling paradigm inspired by fasterthan-Nyquist principles but following a fundamentally different approach that enables controlled inter-symbol interference through carefully designed finite-impulse-response filters. NSMs can be realized in one-, two-, and…
Giulio Ruffini
Hierarchical encoding is a structural element of the Free Energy Principle and related information-centric accounts of brain function, but a concrete circuit-level mechanism for it remains elusive. Here we examine Hierarchical Amplitude Modulation (HAM). In this computationally grounded scheme, information is encoded…
Liu Yang, Dan Ding, Yang Cai, Rulei Han + 4 more
Conventional message-driven frequency-hopping (MDFH) systems are vulnerable to partial-band jamming, particularly when the jamming simultaneously affects both active and idle subcarriers, which disrupts energy-based detection. To address this limitation, this paper proposes a novel randomized intra-group subcarrier…
Authors not listed
Tandem mass spectrometry (MS/MS) fragmentation is conventionally understood as stochastic bond cleavage determined by thermochemical bond strengths and collision energies. We demonstrate that fragmentation is a deterministic categorical state progression governed by phase-lock network topology, where fragment…
Min Qiu, Xiaowei Wu, Peng Kang, Lei Yang + 1 more
The concept of spatial coupling is among the most significant breakthroughs in coding theory over the past decade. The excellent waterfall and error floor performance of spatially coupled codes has positioned them as promising coding candidates for future communication and data storage systems. This article presents an…
Yongpeng Wu, Peihong Yuan
Channel coding has long stood at the core of reliable communications, shaping the evolution of modern information and communication systems. From classical algebraic codes to capacity-approaching schemes such as Turbo codes, low-density parity-check (LDPC) codes, and polar codes, decades of research have continuously…
Authors not listed
Environmental damping in molecular spectroscopy is commonly treated as a phenomenological source of decoherence and spectral broadening, leading to a monotonic reduction of spectral intensity. Here we show that this assumption is not generally valid. Using a vibronically resolved response-function framework, we…
Authors not listed
This paper formally defines an operational isomorphism between spectral damping in molecular vibronic systems and neuromodulatory control in biological sensory systems. Without asserting causal continuity or physical identity across scales, we show that both domains instantiate the same class of output-selective…
Authors not listed
The analysis of metabolic profiles using high resolution mass spectrometry (MS) data gives deep insights into the biological processes. In metabolomics, MS generates a large number of features that represent metabolites. However, identifying specific metabolites from these features can be challenging. One of the major…
Zian Meng, Qiang Li, W.H. Wilson Tang, Yan + 2 more
—Deep learning-based semantic communication has largely relied on analog or semi-digital transmission, which limits compatibility with modern digital communication infrastructures. Recent studies have employed vector quantization (VQ) to enable discrete semantic transmission, yet existing methods neglect channel state…
Authors not listed
We present a chemical framework in which adaptive organization is achieved by tuning a gated quantum resonator (adaptive genomic resonator) {driven quantum oscillator} across a driven, dissipative reaction manifold (fitness landscape) {Hamiltonian potential surface}. In this view, catalytic elements set gain and phase…
Victor V. Albert, Philippe Faist
Barcode scans, clear phone calls, reliable data storage, satellite communication, and large-scale quantum computation are all made possible by error correction. We present a handbook version of The Error Correction Zoo, a curated reference of methods for protecting classical or quantum information from errors during…
Qi Feng, Junyi Zhang, Mingdi Li, Li Chen + 1 more
Classical covert wireless communication is commonly formulated under a noise-only null hypothesis, in which a warden detects the presence of a transmission. In shared-spectrum settings with persistent legitimate traffic, however, a warden may already observe legitimate traffic and may therefore test whether an…
Kyle Bojanek, Olivier Marre, Stephanie E. Palmer
Populations of sensory neurons are thought to be shaped by selective pressures for optimal information transmission, yet real neural circuits display substantial variability across stimulus repeats, across time, and between individuals. Reconciling this variability with normative theories requires understanding not…
María Peña Fernández, Lara Lloret Iglesias, Jesús Marco de Lucas
How much machinery does a network need to memorize and recall discrete sequences when constrained to a biologically plausible substrate? We address this question using 50 short monophonic melodies in 4/4, used only as a controlled sequence-memory benchmark. Each beat is encoded with two clean one-hot populations – a…
Lihong Cao
The human brain encodes a virtually infinite repertoire of semantic concepts using a finite number of neurons, a feat that defies the capacity limits of classical attractor networks. While “Concept Cells” in the medial temporal lobe (MTL) exhibit extreme sparsity, the information-theoretic principles governing their…
Muhammed Yusuf Şener, Gerhard Kramer, Shlomo Shamai (Shitz), Ronald Böhnke + 2 more
Dirty paper coding (DPC) is applied to multi-input multi-output (MIMO) broadcast channels with additive Gaussian noise and one message per receiver. The method decomposes each receiver MIMO channel into parallel scalar channels and applies modulo operators, amplitude-shift keying (ASK), and probabilistic shaping. The…
Ryan Seah, Marvin Rübenacke, Warren J. Gross
Polar codes achieve channel capacity as block length increases, but this asymptotic advantage comes at the cost of decoding speed: the conventional successive cancellation (SC) algorithm is inherently sequential, which limits its practicality for high-throughput applications. This work addresses that limitation by…
Yuhang Wang, Weihua Chen, Linjing Song, Zhiping Xu + 6 more
With the rapid growth of data volume in sensor networks, lossy source coding systems achieve high-efficiency data compression with low distortion under limited transmission bandwidth. However, conventional compression algorithms rely on a two-stage framework with high computational complexity and frequently struggle to…
Willie K. Harrison, Truman Welling, Andrew Swain, Morteza Shoushtari + 1 more
Physical-layer security can aid in establishing secure telecommunication networks including cellular, Internet of Things, and telemetry networks, among others. Channel sounding techniques and/or telemetry systems for reporting channel conditions, coupled with superior wiretap code design are necessary to implement such…
William Dorrell, Peter E. Latham, Timothy E. J. Behrens, James C. R. Whittington
The efficient coding hypothesis presents a compelling success story for theoretical and systems neuroscience. It marshals a unifying idea, that neural codes can be understood as efficient encodings of natural stimuli, to explain phenomena from across sensory systems, sometimes with exquisite precision. However, similar…