Neural language models (NLMs) are generative, and they model the distribution of grammatical sentences. Trained on huge corpus, NLMs are pushing the limit of modeling accuracy. Besides, they have also been applied to supervised learning tasks that decode text, e.g., automatic speech recognition (ASR). By re-scoring the n-best list, NLM can select grammatically more correct candidate among the l...

For high data rate communication with the required Quality of Service (QoS) in 3G and 4G systems, Orthogonal Frequency Division Multiplexing (OFDM) is proposed. We present a novel discrete Fourier transform (DFT)-based channel estimator for orthogonal frequency-division multiplexing (OFDM) systems. The conventional DFT-based estimator zeroes out noise-dominant values in the transform domain, wh...

Elimination of tainted noise and improving the overall quality of a speech signal is speech enhancement. To gain the advantage of individual algorithms we propose a new linear model and that is in the form of cascade adaptive filters for suppression of non-stationary noise. We have successfully deployed NLMS (Normalized Least Mean Square) algorithm, Sign LMS (Least Mean Square) and RLS (Recursi...

We present a comparative study on three carrier phase estimation algorithms, including a one-tap normalized least mean square (NLMS) method, a block-average method, and a Viterbi-Viterbi method in the n-level phase shift keying coherent transmission systems considering the equalization enhanced phase noise (EEPN). In these carrier phase estimation methods, the theoretical bit-error-rate floors ...

ECG signals have been proven a very versatile tool for detection of cardiovascular diseases. But during recording of these signals, the ECG data gets contaminated by various noise signals caused by power line interference, base line wander, electrode movement, muscle movement (EMG) etc. These noise signals are known as artifacts. These artifacts mislead the diagnosis of heart which is not desir...

Over the last decade, a class of equivalent algorithms that accelerate the convergence of the normalized LMS (NLMS) algorithm, especially for colored inputs, has been discovered independently. The affine projection algorithm (APA) is the earliest and most popular algorithm in this class that inherits its name. The usual APA algorithms update weight estimates on the basis of multiple, unit delay...

Abstract—obtaining an artifact free signal is an important task in making a successful diagnosis using Electro Cardiograph (ECG) signal. Several techniques were proposed in the literature with varying degree of accuracy. In this paper some efficient signal conditioning techniques to remove the artifact from ECG signals are presented. The proposed techniques are derived from basic higher order t...

صفحه‌­ی مینیاتوری LEU پرتودهی شده در رآکتور تحقیقاتی تهران که برای تولید رادیوایزوتوپ مولیبدن-99 استفاده می‌شود، منبع پرتوزایی متشکل از رادیوایزوتوپ‌های مختلف است. محاسبه و تخمین آهنگ دز تابش‌های گامای گسیلی این منبع، به منظور مقایسه با مقادیر مجاز توصیه حمل‌ونقل مواد پرتوزا حفاظت پرتویی کارکنان حین انجام تست‌های آزمایشگاهی داغ، پیش هر اقدام عملی، امری ضروری مقاله، اعتبار یک روش پیشنهادی جهت هد...

A block affine projection algorithm that it is mathematically equivalent to a recently proposed Gauss-Seidel Pseudo Affine Projection (GS -PAP) algorithm is proposed. A partitioning method is applied to the original sample-bysample algorithm. It is shown that the derived algorithm has better convergence, tracking abilities and much reduced complexity than the NLMS algorithm. Its application in ...