In computer science, the way data is organized can significantly impact the efficiency of algorithms. This principle is vividly observed when comparing the processing speed of sorted versus unsorted ...
This technical artical delves into the concept of compressed sensing and its applications in array signal processing, demonstrating its effectiveness through MATLAB implementations. Compressed sensing ...
Abstract: Today's digital phased array architectures face the challenges of exponential growth in processing and digital data flow as arrays increase in size, element count, instantaneous bandwidth, ...
B. Rafaely, Fundamentals of Spherical Array Processing, vol. 8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. doi: 10.1007/978-3-662-45664-4. O. Nadiri and B. Rafaely, "Localization of ...
Abstract: For about two decades, many fourth order (FO) array processing methods have been developed for both direction finding and blind identification of non-Gaussian signals. One of the main ...
Later in the DATA step, when you want to process the variables in the array, you can refer to a variable by either its name or its array reference. For example, the names Reference and books{1} are ...
For most arrays, 1 is a convenient lower bound, so you do not need to specify the lower bound. However, specifying both the lower and the upper bounds is useful when the array dimensions have ...
Array-based data processing is a common technique in data engineering that involves manipulating large arrays of data, such as matrices, vectors, or tensors. However, array-based data processing can ...
ABSTRACT: This paper proposes to apply the genetic algorithm and the firefly algorithm to enhance the estimation of the direction of arrival (DOA) angle of electromagnetic signals of a smart antenna ...
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