SKU: 52586394365

Presonus PRM-1 Precision Reference Microphone

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Description

Presonus PRM-1 Precision Reference MicrophoneThe Presonus PRM 1 Precision Reference Microphone is a special type of microphone that provides an accurate reproduction of a room's sound characteristics for use with audio analysis tools. It employs a inch, pre polarized, electret condenser capsule with an omnidirectional polar pattern, which allows the microphone to measure reflections, as well as direct signals up to 132 dB SPL. The PRM1 has an all metal chassis and comes with a clip, foam

The Presonus PRM-1 Precision Reference Microphone is a special type of microphone that provides an accurate reproduction of a room's sound characteristics for use with audio-analysis tools. It employs a ¼-inch, pre-polarized, electret-condenser capsule with an omnidirectional polar pattern, which allows the microphone to measure reflections, as well as direct signals up to 132 dB SPL. The PRM1 has an all-metal chassis and comes with a clip, foam windscreen, and hard case.

Unlike mics you use for recording and live sound, the PRM1 has a narrow dynamic range, since it is intended to receive test frequencies, such as pink noise, at a fixed level. As a result, it is not recommended for recording or performance but it’s the right mic for analyzing a sound system’s performance. The PRM1 exhibits linear (“flat”) frequency response between 20 Hz and 20 kHz, meaning it captures all frequencies equally within that range. Since it neither boosts nor cuts frequencies, it doesn’t color the sound, making it ideal for measuring what a room or speaker is doing to a sound system’s outgoing signal.

While the PRM1 can be used for a variety of measurement applications, such as MLSSA, Spectra foo, and TEF, it is especially recommended for use with the Smaart System Check wizards that are integrated into PreSonus UC Surface control software for Studio Live AI and Studio Live RM mixers. With this combination, you can have a complete, powerful, and affordable, audio analysis and correction system.

Product Specification:  

Type: Black electret condenser

Element: Pressure, FET preamplifier

Polar Pattern: Omnidirectional

Connector: 3-pin XLR Male

Frequency Response: 20 Hz to 20 kHz

Sensitivity: -37 dB/Pa (14 mV/Pa) 1 Pa=94 dB SPL

Impedance: 200 Ω

Minimum Load Impedance: 1,000 Ω

EIN: 26 dB

Maximum SPL: 132 dB SPL (THD ≤ 1%, 1 kHz)

Dynamic Range: 106 dB

S/N Ratio: 70 dB

Phantom Power: 9-52 V

Current Consumption: 2 mA

Weight: 5.3 oz (150 g)

Dimensions: 7.56 x 0.83" (192 mm x 21 mm)

Package Weight: 0.91 lb

Box Dimensions (LxWxH): 11.75 x 4.9 x 3"

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SKU: 52586394365

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4.3 ★★★★★
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Verified Purchase
Frank Gonzalez
Massapequa, US
★★★★★ 3
Ok content, not great explanations (2.5 our of 5 stars)
Format: Paperback
I found the contents of this book to be simply ok: either too simple, or the more complicated algorithms and concepts would not be as carefully explained as they should have been. It is not a terrible book, but it feels as though the author did not go over many drafts/iterations of this work.
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Reviewed in the United States on April 7, 2024
I
Ira Laefsky
Massapequa, US
★★★★★ 5
An Excellent Self-Discovery Approach to Learning Algorithms
Format: Paperback
I have an Ivy League Master's Degree in Computer Science although it was accomplished 35 years ago. Of course, I had to complete an ACM-type course in Algorithms and Data Structures on the undergraduate and graduate level and managed to by rote accomplish enough to satisfy these courses. But until seeing this great book I never had the feeling of gaining an understanding of the approach to learning and building algorithms and the extent to which it is an important component of all programs. By a journey of guided self-discovery the author shows, not only the necessity of algorithms and their canonical forms, but a path to understanding the construction of algorithms to accomplish common and not so common practical problems. These range from the simple to understand, e.g. implementing Russian Peasant Multiplication, to advanced and up to date topics like Machine Learning. The highest praise I can give this book is that as a journey of guided self-discovery it produces an understanding in the reader of the process of constructing and understanding these algorithms and their place in all programming.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 7, 2021
S
Susan
Draper, US
★★★★★ 5
Easy to understand, makes algorithms exciting again!
Format: Kindle
Dive Into Algorithms speaks to me directly as a very intrepid beginner myself. I was given another "learn Python" book several years ago and it languishes on a shelf undisturbed to this day. Dive Into Algorithms had me hooked by the first parfait recipe. Mr. Tuckfield explains concepts in such a way that any student can learn something. The history, physics, cooking, and math lessons teach us that algorithms are everywhere, and they're not big scary 'big data' monsters out to ruin us. Instead, they're tools to help understand the world around us. This book has made me excited about programming again. Thank you.
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Reviewed in the United States on January 28, 2021
M
MF
Boise, US
★★★★★ 1
Don't buy. Author's okay effort to publish what seems like a rough draft.
Format: Paperback
Poorly written, unnecessarily complex wording to code introduction/explanations, and path to solutions (cover to cover of the book) are the most bizarre of choices. Excessively wordy and dramatic (i.e. "let me tell you the entire history of human kind before we dive into anything programming/problem solving related." ). Either he's new to publishing or programming, or both. PASS.
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Reviewed in the United States on April 26, 2022
C
Verified Purchase
Cassie A.
Fort Morgan, US
★★★★★ 5
A good read
Format: Hardcover
If your debating about reading this don't it was a nice and easy read with great real life examples of how our past wounds and failures can turnaround for the glory of God. He is raw , honest and funny with the way he explains his own wounds or failures. Don't be skeptical its essential book for growth
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Reviewed in the United States on March 15, 2026

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