The Digital Signal Processing Skills test is the preferred pre-employment test for recruiters and hiring managers to hire job-fit candidates for roles such as Digital Signal Processing Engineer and Electronics Engineer. Digital Signal Porcessing skills test reduces hiring time by 40% and increases interview to selection ratio by 62%.
DSP (Digital Signal Processing) is a domain which deals with the processing of information digitally for various applications and hence rooted in the mathematical analysis of signals and their transformation. DSP is an important branch of Electronics and Telecommunication engineering that deals with the improvisation of reliability and accuracy of the digital communication by employing multiple techniques. DSPs are fabricated on MOS integrated circuit chips and are widely used in audio signal processing, telecommunications, digital image, etc.
Digital Signal Processing skills test provides powerful reporting feature which helps you to analyze section wise performance of candidate to gauge his/her strengths and weaknesses. Moreover, you can always use our candidate ranking tool to screen the best performing candidate amongst others.
Test Duration: 20 minutes
No. of Questions: 10
Level of Expertise: Entry/Mid/Senior
The DSP test assesses candidate's arrangement of how these nodes will interact. It is topology which governs data flow between respective nodes
iMocha's pre-hire assessment evaluates candidate's knowledge rules for formatting and processing data
In DSP, ADC means Analog to Digital Converter. This test assesses candidates based on their understanding of ADC converting an input analog voltage to a digital measurement of that voltage
Our test lets you check applicant's knowledge of DSP filters
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Computer Network - Topology
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“Siemens needed an employee review metric that was based on pure data, making it simpler for the hiring managers to evaluate their team. At the same time, we wanted the employees to be able to show case their domain knowledge and skills without the fear of any biases affecting their review process.”