Fully Adaptive Ridge Detection Based on STFT Phase Information

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Adaptive Effects Based on Stft, Using a Source-filter Model

This paper takes the opportunity of presenting a set of new adaptive effects to propose a generic scheme for adaptive effects built upon a spectral source-filter decomposition and a Short-Time Fourier analysis-resynthesis. This allows for a better formalization of the involved signal processing algorithms and leads to a simple classification of adaptive effects already presented in the literatu...

متن کامل

Adaptive Ridge Regression for Rare Variant Detection

It is widely believed that both common and rare variants contribute to the risks of common diseases or complex traits and the cumulative effects of multiple rare variants can explain a significant proportion of trait variances. Advances in high-throughput DNA sequencing technologies allow us to genotype rare causal variants and investigate the effects of such rare variants on complex traits. We...

متن کامل

Model-based STFT phase recovery for audio source separation

For audio source separation applications, it is common to estimate the magnitude of the Time-Frequency (TF) representation of each source. In order to recover a time-domain signal from a spectrogram for instance, it then becomes necessary to recover the phase of the corresponding complex-valued ShortTime Fourier Transform (STFT). Most authors in this field choose a Wiener-like filtering approac...

متن کامل

Persian sign language detection based on normalized depth image information

There are many reports of using the Kinect to detect hand and finger gestures after release of device by Microsoft. The depth information is mostly used to separate the hand image in the two-dimension of RGB domain. This paper proposes a method in which the depth information plays a more dominant role. Using a threshold in depth space first the hand template is extracted. Then in 3D domain the ...

متن کامل

Analytic Optimization of Adaptive Ridge Parameters Based on Regularized Subspace Information Criterion

In order to obtain better learning results in supervised learning, it is important to choose model parameters appropriately. Model selection is usually carried out by preparing a finite set of model candidates, estimating a generalization error for each candidate, and choosing the best one from the candidates. If the number of candidates is increased in this procedure, the optimization quality ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: IEEE Signal Processing Letters

سال: 2020

ISSN: 1070-9908,1558-2361

DOI: 10.1109/lsp.2020.2987166