Sparsity-Based Direct Location Estimation Based on Two-step Dictionary Learning
نویسندگان
چکیده
منابع مشابه
Speech Enhancement using Adaptive Data-Based Dictionary Learning
In this paper, a speech enhancement method based on sparse representation of data frames has been presented. Speech enhancement is one of the most applicable areas in different signal processing fields. The objective of a speech enhancement system is improvement of either intelligibility or quality of the speech signals. This process is carried out using the speech signal processing techniques ...
متن کاملthe effect of lexically based language teaching (lblt) on vocabulary learning among iranian pre-university students
هدف پژوهش حاضر بررسی تاثیر روش تدریس واژگانی (واژه-محور) بر یادگیری لغات در بین دانش آموزان دوره پیش دانشگاهی است. بدین منظور دو گروه از دانش آموزان دوره پیش دانشگاهی (شصت نفر) که در سال تحصیلی 1389 در شهرستان نور آباد استان لرستان مشغول به تحصیل بودند انتخاب شده و به صورت قراردادی گروه آزمایش و گواه در نظر گرفته شدند. در ابتدا به منظور اطمینان یافتن از میزان همگن بودن دو گروه از دانش واژگان، آ...
15 صفحه اولmortality forecasting based on lee-carter model
over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...
15 صفحه اولDictionary learning under global sparsity constraint
A new method is proposed in this paper to learn overcomplete dictionary from training data samples. Differing from the current methods that enforce similar sparsity constraint on each of the input samples, the proposed method attempts to impose global sparsity constraint on the entire data set. This enables the proposed method to fittingly assign the atoms of the dictionary to represent various...
متن کاملDictionary Learning with Spatio-spectral Sparsity Constraints
Devising efficient sparse decomposition algorithms in large redundant dictionaries has attracted much attention recently. However, choosing the right dictionary for a given data set remains an issue. An interesting approach is to learn the best dictionary from the data itself. The purpose of this contribution is to describe a new dictionary learning algorithm for multichannel data analysis purp...
متن کاملذخیره 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: Communications and Network
سال: 2013
ISSN: 1949-2421,1947-3826
DOI: 10.4236/cn.2013.53b2077