A Bernoulli matrix is a type of random matrix where each entry is independently assigned a value of either 0 or 1 with a probability distribution that follows the Bernoulli distribution. This concept is significant in sparse recovery algorithms, as these matrices can be used to create measurements that capture the essential features of a high-dimensional signal while ensuring computational efficiency and stability in reconstruction processes.
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