Study on Signal Detection and Recovery Methods with Joint Sparsity is popular PDF and ePub book, written by Xueqian Wang in 2023-09-30, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Study on Signal Detection and Recovery Methods with Joint Sparsity can be Read Online from any device for your convenience.
Study on Signal Detection and Recovery Methods with Joint Sparsity Book PDF Summary
The task of signal detection is deciding whether signals of interest exist by using their observed data. Furthermore, signals are reconstructed or their key parameters are estimated from the observations in the task of signal recovery. Sparsity is a natural characteristic of most of signals in practice. The fact that multiple sparse signals share the common locations of dominant coefficients is called by joint sparsity. In the context of signal processing, joint sparsity model results in higher performance of signal detection and recovery. This book focuses on the task of detecting and reconstructing signals with joint sparsity. The main contents include key methods for detection of joint sparse signals and their corresponding theoretical performance analysis, and methods for joint sparse signal recovery and their application in the context of radar imaging.
Detail Book of Study on Signal Detection and Recovery Methods with Joint Sparsity PDF
- Author : Xueqian Wang
- Release : 30 September 2023
- Publisher : Springer Nature
- ISBN : 9789819941179
- Genre : Technology & Engineering
- Total Page : 135 pages
- Language : English
- PDF File Size : 8,9 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Study on Signal Detection and Recovery Methods with Joint Sparsity by Xueqian Wang, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.