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In this document, we discuss the implementation of compressive sensing code using the MATLAB programming environment. The code is designed with a clear and easy-to-understand structure, allowing for efficient and effective use of the compressive sensing technique. Through the use of this technique, we are able to extract and reconstruct signals in a more efficient and accurate manner, making it an important tool in a variety of applications, including signal processing, image compression, and data analysis. By implementing the compressive sensing code in MATLAB, we are able to take advantage of the numerous built-in functions and tools, further enhancing the efficiency and effectiveness of the code. Overall, the compressive sensing code discussed in this document offers a powerful tool for signal processing and analysis, and its implementation in MATLAB provides a convenient and user-friendly environment for researchers and practitioners alike.