Digital Signal Processing Services
Collect – Analyze – React
From careful filtering of analog sensor lines to sophisticated digital signal processing, Cardinal Peak helps teams use signal processing to achieve the highest level of performance. For example, voice enablement has introduced a variety of audio signal processing challenges, including wake-word recognition, echo cancellation and acoustic beam forming. Cardinal Peak’s deep experience with giving devices a voice of their own has helped our customers launch products with both OK Google and Alexa wake-words. As an Alexa Voice Services partner and with broad audio expertise, we help select and implement both hardware and IP solutions to meet performance, schedule and budget requirements for our clients.
When it comes to connectivity, Cardinal Peak has devoted years to implementing familiar standards like LTE, Bluetooth, Zigbee, and Wi-Fi as well as less familiar standards like Ultra-Wideband and LoRa. For truly unique wireless applications, Cardinal Peak has helped customers design, model and implement proprietary waveforms built atop software-defined radios. We routinely help with hardware, embedded software, custom antennas, regulatory certification and end-to-end testing.
Cardinal Peak’s DSP architects are ready to support any stage of development, from preliminary block diagrams to high-level modeling in tools like Matlab and Python, to implementing algorithms in constrained environments, including FPGAs, dedicated DSPs and general purpose processors.
Our Case Studies: Signal Processing
As one of the top digital signal processing engineering firms, Cardinal Peak provides innovative DSP contract engineering as illustrated in the projects below. If you’re looking for a DSP engineering firm to partner with, contact us to talk with our DSP design consultants.
FAQs About Our Digital Signal Processor Contract Engineering
What types of DSP contract engineering do you offer?
What do audio signal processing firms do?
We get involved in a broad range of the audio signal processing including methods for storage, data compression, speech recognition, echo and noise cancellation, acoustic fingerprinting, sound recognition, and enhancement (e.g., equalization, filtering, level compression, echo and reverb removal or addition).
How much do DSP engineering services cost?
More often than not, our DSP algorithm development and DSP optimization services are a fraction of the overall project. We do occasionally help a customer with just their DSP code, but even that work can vary substantially depending on any existing libraries we can leverage to meet the requirements. As with all product engineering, there is a balance between the non-recurring engineering (NRE) investment and the bill of materials (BOM) which includes any royalties associated with existing libraries. Give us a call for a free consultation and we can guide you on the design trade-off for your unique needs.
DSP Engineering Resources
We needed a simple C++ class for linear phase FIR filtering, so our expert offers a how-to and a download to help others implement a FIR filter.
The basic idea of spectral analysis is to take a waveform, in our case an audio clip, and determine which frequency components are in it. This post provides a very brief overview of the Discrete Fourier Transform (DFT), spectrograms and DFT spectral analysis.