This paper proves that when the measurement matrix satisfies the ‐ null space property of order , the ‐minimization model can accurately recover any sparse vector. In addition, this paper… Click to show full abstract
This paper proves that when the measurement matrix satisfies the ‐ null space property of order , the ‐minimization model can accurately recover any sparse vector. In addition, this paper proves that when the measurement matrix satisfies ‐ stable null space property of order with constant , the ‐minimization model can stably recover any vector. Finally, this paper proves that the ‐ stable null space property of order with constant is weaker than matrices satisfying the RIP condition under certain conditions.
Keywords:
null space;
sparse vector;
minimization;
space
Journal Title: Electronics Letters
Year Published: 2025
Link to full text (if available)
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Journal Title: Electronics Letters
Year Published: 2025
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!