the correlation of the wavelet shape and the characteristic ECG section has been confirmed, and wavelets for the identification of P-, R-, and T waves have been experimentally established. An algorithm for identifying...
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ISBN:
(数字)9798331518752
ISBN:
(纸本)9798331518769
the correlation of the wavelet shape and the characteristic ECG section has been confirmed, and wavelets for the identification of P-, R-, and T waves have been experimentally established. An algorithm for identifying R waves in an ECG has been developed and its operability has been verified. Using the algorithm developed, a graph of the dynamics of the heartbeat period is plotted as a function of time (period number). To identify the P and T waves, the waveletimage of the real ECG is constructed, and the presence of distortion of the shape of this image due to the influence of QRS complex and neighboring waves is established. Computer removal (filtering) of QRS complexes from the ECG is carried out, waveletimage of the remaining part is calculated. the possibility of determining the positions of the maximum P- and T-waves has been established from the waveletimage of the filtered ECG. the theoretical and practical value of this study consists in a new direction of wavelet analysis of cardiac signals, by successively applying several wavelets of a special form, to identify characteristic sections of the ECG in order to improve diagnostics. the proposed method also assumes intermediate filtering of the identified sections when moving from wavelet to wavelet. the development was carried out within the framework of computer generation of arrays of digital functions of the state of the heart, suitable for training artificial intelligence systems, and diagnostics using such systems. the practical results obtained can be applied in the development of a digital expert diagnostic system or a specific technical device.
Light field cameras hold significant value in applications such as depth estimation, 3D video acquisition, and image super-resolution. Compared to traditional single-image super-resolution methods, light field images ...
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An early diagnosis is essential for the effective treatment of breast cancer, which is one of the most commonly prevalent cancers in women. In this study, we propose a Deep Learning Transfer Learning technique for seg...
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Noise as an unwanted interference can significantly degrade speech signals, especially those recorded by many microphones. this interference is modeled as additive noise that originates from a range of sources includi...
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ISBN:
(数字)9798331506520
ISBN:
(纸本)9798331506537
Noise as an unwanted interference can significantly degrade speech signals, especially those recorded by many microphones. this interference is modeled as additive noise that originates from a range of sources including White Gaussian Noise (WGN), babble, crowd, large city, and traffic noises. these disturbances can alter the characteristics of speech signals reducing boththeir quality and intelligibility. this paper introduces a novel approach designed to reduce noise and enhance the quality and intelligibility of speech signals. the proposed method combines wavelet Transform with Adaptive Filters, specifically the Wiener filter and RLS filter. the evaluation process involves testing noisy speech signals under realistic conditions with different signal-to-noise ratios (SNRs) and different types of additive noise. the objective measure is used for evaluation, including the perceptual evaluation of speech quality (PESQ). Results show that combining Wiener or RLS filtering withwavelet Transform significantly improves noise reduction, outperforming the use of wavelet Transform alone.
Floating numbers are represented using IEEE standard 754. IEEE 754 defines formats for representing single-precision and double-precision floating-point numbers, along with rules for performing basic arithmetic operat...
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the discrete wavelet transform (DWT) is commonly used for feature extraction in machine learning applications. Since these applications are frequently deployed in portable systems with limited computational resources,...
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the widely recognized classical image compression techniques are renowned for their excellent performance, minimal computational complexity, and the ability to generate an embedded bitstream that can be decoded at var...
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ISBN:
(数字)9798331523923
ISBN:
(纸本)9798331523930
the widely recognized classical image compression techniques are renowned for their excellent performance, minimal computational complexity, and the ability to generate an embedded bitstream that can be decoded at varying bit rates, resulting in progressively improved image quality as more bits are received. It requires a significant amount of computer memory as it stores the generated sets and the pixel locations in linked lists. the multiresolution feature of transform does not result in the creation of a resolution-scalable bitstream that would allow the image to be decoded at various resolutions. the enormous memory issue withthe conventional methods is resolved by the Tree Seed Algorithm (TSA) an Enhanced Discrete wavelet Transform methodology which requires just one list of fixed size with average of 2.25 bits/pixel and size of 1/4 of the image. the primary contribution of this study lies in enhancing image quality and resolution thereby optimizing memory usage. the TSA Optimized Discrete wavelet Transform approach is recommended in this study to decrease complexity and improve processing speed. Using the unique attributes of the algorithm, it is particularly well-suited to meet the diverse skill levels and resolution preferences of contemporary Internet users.
this paper evaluates and compares the performance of various image denoising techniques, including wavelet transform, Wiener filtering, non-local means (NLM), denoising autoencoders (DAEs), and feedforward autoencoder...
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ISBN:
(数字)9798331518752
ISBN:
(纸本)9798331518769
this paper evaluates and compares the performance of various image denoising techniques, including wavelet transform, Wiener filtering, non-local means (NLM), denoising autoencoders (DAEs), and feedforward autoencoders. there are cases of additive and multiplicative noises considered where the Gaussian distribution with zero mean stands for the first case and an exponential distribution with unity mean describes the second case (speckle). the experiments have been conducted on the given dataset which contained both still test images and synthetic aperture radar (SAR) images with varying noise levels to analyze the effectiveness of these denoising approaches. the performance of each method is assessed using key image quality metrics: Peak signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), Mean Squared Error (MSE), and Normalized Absolute Error (NAK). the results demonstrate that denoising autoencoders DAEs provide superior performance in terms of structural preservation and noise reduction, particularly in low-noise conditions, while Wiener filtering proves to be computationally efficient and robust under high-noise conditions. these findings offer insights into the selection of effective denoising techniques for noisy images based on specific noise characteristics and application requirements.
In recent years, synthetic media generation has gained significant attention in areas such as entertainment, gaming, and visual content creation. the Generative Vision Hybrid Model leverages advanced generative archit...
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ISBN:
(数字)9798331523923
ISBN:
(纸本)9798331523930
In recent years, synthetic media generation has gained significant attention in areas such as entertainment, gaming, and visual content creation. the Generative Vision Hybrid Model leverages advanced generative architectures and imageprocessing techniques to create highly realistic synthetic media. By integrating StyleGAN with a vision enhancement layer comprising Autoencoder-based Attention and Transformer modules, the model achieves exceptional quality in image synthesis. the dataset underwent robust preprocessing, including wavelet Transform-based Noise Reduction and Adaptive Contrast Enhancement (ACE), ensuring clean and diverse inputs. the model achieved an Inception Score (IS) of 9.5, a Fréchet Inception Distance (FID) of 15.8, and a Structural Similarity Index (SSIM) of 0.94, outperforming existing benchmarks like StyleGAN2. Human evaluators rated the model's output with an average realism score of 4.7/5, highlighting its superior perceptual quality. Additionally, PSNR reached 32.6 dB, demonstrating high fidelity. the results validate the effectiveness of the hybrid model in producing photorealistic synthetic media with fine-grained detail and structural consistency. Future work can extend this approach to multi-modal media synthesis, real-time applications, and ethical watermarking systems to ensure responsible usage.
the brain responsible for managing thoughts, mem-ories, movements, and emotions, is the body's most critical organ but is vulnerable to tumors, particularly as we age. these tumors can cause structural changes and...
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