Deterministic measurement matrices have a crucial character in compressive sensing (CS) applications. These matrices can be generated randomly and deterministically. Due to less memory needed for storage, deterministic matrices have been taken into consideration vastly rather than random ones. In this paper, by use of Hash functions (HF), a group of new measurement matrices has been presented. For this purpose, first, a primary matrix of code is generated then by use of Hash matrices a new

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... x is produced. Finally by normalizing the new matrix elements, measurement matrix will be generated. Through this construction, a group of measurement matrices with size of 2 3 p p  and coherence coefficient equal to 1 p , where p is a prime integer, will be obtained. Simulation results illustrate that for low values of p , proposed matrices slightly outweigh BCH sampling matrices. Keywords: Hash function, coherence coefficient, matrix of code, restricted isometry property (RIP). :‫ﻣﻘﺎﻟﻪ‬ ‫ارﺳﺎل‬ ‫ﺗﺎرﯾﺦ‬ 14 / 10 / 94 :‫ﻣﻘﺎﻟﻪ‬ ‫اﺻﻼح‬ ‫ﺗﺎرﯾﺦ‬ 4 / 2 / 95 :‫ﻣﻘﺎﻟﻪ‬ ‫ﭘﺬﯾﺮش‬ ‫ﺗﺎرﯾﺦ‬ 13 / 2 / 95 ‫ﮐﻬﺎﯾﯽ‬ ‫ﻣﺤﻤﺪﺣﺴﯿﻦ‬ :‫ﻣﺴﺌﻮل‬ ‫ﻧﻮﯾﺴﻨﺪه‬ ‫ﻧﺎم‬ ‫ﺑﺮق‬ ‫داﻧﺸﮑﺪه‬ ،‫ﺻﻨﻌﺖ‬ ‫و‬ ‫ﻋﻠﻢ‬ ‫داﻧﺸﮕﺎه‬ ،‫ﻧﺎرﻣﮏ‬ ‫ﺧﯿﺎﺑﺎن‬ ،‫ﺗﻬﺮان‬ :‫ﻣﺴﺌﻮل‬ ‫ﻧﻮﯾﺴﻨﺪه‬ ‫ﻧﺸﺎﻧﯽ‬ .