We wrap the parent call in a try/except; failures trigger a frequency rescue that classifies using magnitude FFTfeatures (centroid and band energies). The wrapper annotates path ∈ {primary, rescue} and timings. Failure injection covers: load…
While some environmental advocates estimated Texaco made over $20 billion in profits from its Ecuador operations, this figure is likely incorrect. Chevron, which later acquired Texaco, countered that the Amazon Defense Coalition fabricated the profit figures.…
Argentina is receiving a significant financial bailout from the U.S. government, totaling $40 billion, aimed at stabilizing its economy and supporting President Javier Milei’s radical reforms.Background of the BailoutArgentina is currently facing a severe economic…
Deploy Your RF Classifier Without Fear — Introducing Checkpoint Mismatch Tolerance By Ben Gilbert | November 9, 2025 You trained a perfect RF modulation classifier on [‘AM’, ‘FM’, ‘PSK’]. Now your customer wants [‘AM-DSB’, ‘FM’,…
In the context of imagined image reconstruction from brain activity, the most effective approaches generally use a hybrid framework that leverages both Deep Neural Networks (DNNs) for feature decoding and Generative Adversarial Networks (GANs) as an image prior. GANs excel…
The chaebol model presents a complex duality: it is simultaneously viewed as the “wisdom of dynasties” that engineered South Korea’s rapid economic rise and the source of an “iron grip on power” due to its concentrated wealth, family-centric control, and links…
Temporal CNN over I/Q (T=128). Classicalpath: StandardScaler + RF/SVM/GBM/KNN on handcraftedfeatures. Features (16): RMS, PAPR, µI , µQ, σ2I, σ2Q, zerocrossings (I/Q), lag-1 autocorr (Re/Im), spectral centroid,spectral bandwidth, spectral flatness, peak ratio, low/high bandenergy. Co-training:…
For each signal, compute FFT magnitude (256bins), pooled to W bands; repeat across T and concatenatewith I/Q: xt ∈ R2+W . Model. 2-layer Transformer encoder,mean-pooled, linear head. Metrics. Macro-AUROC and latency (batch=1, CPU).
The Hamming window offers a good balance between frequency resolution and spectral leakage, with a narrow main lobe, while the **Blackman window excels at ** reducing spectral leakage but at the cost of a wider…
We compare spectral ( create spectral input:FFT→256), temporal ( create temporal input: 128 I/Q), andhybrid fusion ( create transformer input) for modulationrecognition. We report macro-AUROC and robustness undertest-time aliasing (integer decimation with/without anti-aliasFIR). We generate…